Harnham - Data & Analytics Recruitment
Liverpool, Merseyside
Senior Credit Pricing Manager Liverpool (hybrid working) Salary up to £89,000 This is a senior opportunity to shape credit pricing strategy within a large-scale digital business that is investing heavily in analytics, data, and commercial decision-making. You will step into a newly formed function with clear executive sponsorship, genuine autonomy, and the chance to define how pricing supports sustainable growth and fair customer outcomes. The Company They are a major UK digital retailer with an integrated financial services proposition, operating at significant national scale. Their model combines ecommerce with flexible credit products, creating rich data across customer behaviour, risk, and lifetime value. Following recent investment, they are strengthening their analytics capability to drive more sophisticated commercial and pricing decisions. The Role You will lead credit pricing across customer acquisition and lifetime management, moving the function from a basic risk-led approach to a more commercially driven, analytically robust model. Key responsibilities include: Defining and delivering pricing strategies across credit products, balancing profitability, customer value, and regulatory requirements. Owning fair value and pricing governance, representing credit pricing in senior forums. Developing and overseeing pricing, forecasting, and valuation models including NPV, IRR, and risk-adjusted returns. Using experimentation and A/B testing to assess pricing changes and inform decision-making. Translating complex analysis into clear recommendations for senior stakeholders. Leading and developing a small team of analysts and data scientists. Partnering with product, engineering, and analytics teams to improve data quality, automation, and reporting. Your Skills and Experience Strong commercial experience within credit pricing, lending, or closely related financial services environments. A deep understanding of unit economics and customer lifetime value frameworks. Experience designing or interpreting pricing tests and experiments. Confident stakeholder management skills, with the ability to influence senior leaders. Proven people leadership or mentoring capability. A structured, first-principles approach to problem solving. Exposure to advanced analytics or modelling is beneficial, though this is not a hands-on coding role. What They Offer Hybrid working with flexibility on days in the office. The opportunity to build and lead a high-impact pricing function with clear progression. How to Apply If you are looking to lead credit pricing at scale and make a visible commercial impact, apply now to learn more about this opportunity.
May 17, 2026
Full time
Senior Credit Pricing Manager Liverpool (hybrid working) Salary up to £89,000 This is a senior opportunity to shape credit pricing strategy within a large-scale digital business that is investing heavily in analytics, data, and commercial decision-making. You will step into a newly formed function with clear executive sponsorship, genuine autonomy, and the chance to define how pricing supports sustainable growth and fair customer outcomes. The Company They are a major UK digital retailer with an integrated financial services proposition, operating at significant national scale. Their model combines ecommerce with flexible credit products, creating rich data across customer behaviour, risk, and lifetime value. Following recent investment, they are strengthening their analytics capability to drive more sophisticated commercial and pricing decisions. The Role You will lead credit pricing across customer acquisition and lifetime management, moving the function from a basic risk-led approach to a more commercially driven, analytically robust model. Key responsibilities include: Defining and delivering pricing strategies across credit products, balancing profitability, customer value, and regulatory requirements. Owning fair value and pricing governance, representing credit pricing in senior forums. Developing and overseeing pricing, forecasting, and valuation models including NPV, IRR, and risk-adjusted returns. Using experimentation and A/B testing to assess pricing changes and inform decision-making. Translating complex analysis into clear recommendations for senior stakeholders. Leading and developing a small team of analysts and data scientists. Partnering with product, engineering, and analytics teams to improve data quality, automation, and reporting. Your Skills and Experience Strong commercial experience within credit pricing, lending, or closely related financial services environments. A deep understanding of unit economics and customer lifetime value frameworks. Experience designing or interpreting pricing tests and experiments. Confident stakeholder management skills, with the ability to influence senior leaders. Proven people leadership or mentoring capability. A structured, first-principles approach to problem solving. Exposure to advanced analytics or modelling is beneficial, though this is not a hands-on coding role. What They Offer Hybrid working with flexibility on days in the office. The opportunity to build and lead a high-impact pricing function with clear progression. How to Apply If you are looking to lead credit pricing at scale and make a visible commercial impact, apply now to learn more about this opportunity.
Lead Data Scientist - Financial Crime (Consulting Environment) Salary: 90,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 85,000 - 110,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.
May 17, 2026
Full time
Lead Data Scientist - Financial Crime (Consulting Environment) Salary: 90,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 85,000 - 110,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.
Martin Veasey Talent Solutions
Northampton, Northamptonshire
Senior Machine Learning Data Scientist - Credit Risk 80,000- 120,000 + Bonus + Benefits (Flexibility to 150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk model that is already outperforming competitors - and be given the autonomy to evolve it, refine it and directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability is a highly accurate credit risk model, supported by rich, real-world datasets and a continuous feedback loop of internal and external lending outcomes. The model is already delivering strong predictive performance, but the real value lies in how it is developed from here. This opportunity represents a natural evolution of an already successful machine learning capability, offering the chance to take ownership of a proven model and shape its future direction. The Role This is a senior, hands-on data science role focused on credit risk modelling within a commercial lending environment. You will take ownership of the core modelling framework, working directly on probability of default models and broader decisioning logic that underpins lending strategy. The emphasis is on refinement, optimisation and continuous improvement rather than building from scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. You will be expected to explain model performance, justify modelling decisions and translate technical outputs into clear commercial insight. The Environment This is a business that understands the value of data but is still at a stage where impact is direct and visible. There is: No large data science hierarchy No separation between thinking and execution No dilution of responsibility across multiple teams You will operate as the central subject matter expert within a collaborative technical environment, with the autonomy to influence both modelling direction and commercial outcomes. Over time, there is a clear pathway to build out a team and evolve into a leadership role. However, the immediate focus is on hands-on ownership and delivery. What This Role Is Not This role will not suit individuals who: Have moved fully into leadership and no longer build models themselves Prefer purely strategic or advisory positions without technical ownership Are focused on infrastructure, MLOps or engineering rather than modelling Want a large team or established function around them from day one This is a role for someone who wants to remain close to the detail and take responsibility for outcomes. The Ideal Profile You are a hands-on machine learning data scientist with deep experience in credit risk modelling. You are currently building, refining and optimising models yourself, not delegating that work. You are likely to have developed your career within: SME lending, fintech or banking environments Credit risk, underwriting or decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial or behavioural datasets You understand how your work impacts: Approval rates Default risk Commercial performance You are comfortable discussing modelling decisions in depth with technical stakeholders, but equally able to simplify complex concepts for non-technical audiences. Qualifications You will typically have a strong academic foundation in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, Physics or a closely related field. Many candidates at this level will hold a Master's degree or equivalent advanced qualification, although this is not essential where there is clear evidence of deep practical expertise in credit risk modelling and machine learning. What is critical is a strong grounding in mathematical thinking, statistical modelling and problem solving, combined with the ability to apply that knowledge in a commercial environment. Why This Role Stands Out Ownership of a high-performing, production-grade credit risk model Access to rich, real-world data with continuous feedback loops Direct influence on lending decisions and commercial performance Strong engineering support, allowing full focus on modelling High visibility with senior leadership Clear pathway to future Head of AI / Machine Learning role Opportunity to shape the next phase of a proven data capability Package & Flexibility 80,000- 120,000 base salary Bonus up to 15% Flexibility to 150,000 for exceptional candidates Hybrid working (East Midlands, typically 2-3 days onsite with flexibility)
May 17, 2026
Full time
Senior Machine Learning Data Scientist - Credit Risk 80,000- 120,000 + Bonus + Benefits (Flexibility to 150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk model that is already outperforming competitors - and be given the autonomy to evolve it, refine it and directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability is a highly accurate credit risk model, supported by rich, real-world datasets and a continuous feedback loop of internal and external lending outcomes. The model is already delivering strong predictive performance, but the real value lies in how it is developed from here. This opportunity represents a natural evolution of an already successful machine learning capability, offering the chance to take ownership of a proven model and shape its future direction. The Role This is a senior, hands-on data science role focused on credit risk modelling within a commercial lending environment. You will take ownership of the core modelling framework, working directly on probability of default models and broader decisioning logic that underpins lending strategy. The emphasis is on refinement, optimisation and continuous improvement rather than building from scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. You will be expected to explain model performance, justify modelling decisions and translate technical outputs into clear commercial insight. The Environment This is a business that understands the value of data but is still at a stage where impact is direct and visible. There is: No large data science hierarchy No separation between thinking and execution No dilution of responsibility across multiple teams You will operate as the central subject matter expert within a collaborative technical environment, with the autonomy to influence both modelling direction and commercial outcomes. Over time, there is a clear pathway to build out a team and evolve into a leadership role. However, the immediate focus is on hands-on ownership and delivery. What This Role Is Not This role will not suit individuals who: Have moved fully into leadership and no longer build models themselves Prefer purely strategic or advisory positions without technical ownership Are focused on infrastructure, MLOps or engineering rather than modelling Want a large team or established function around them from day one This is a role for someone who wants to remain close to the detail and take responsibility for outcomes. The Ideal Profile You are a hands-on machine learning data scientist with deep experience in credit risk modelling. You are currently building, refining and optimising models yourself, not delegating that work. You are likely to have developed your career within: SME lending, fintech or banking environments Credit risk, underwriting or decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial or behavioural datasets You understand how your work impacts: Approval rates Default risk Commercial performance You are comfortable discussing modelling decisions in depth with technical stakeholders, but equally able to simplify complex concepts for non-technical audiences. Qualifications You will typically have a strong academic foundation in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, Physics or a closely related field. Many candidates at this level will hold a Master's degree or equivalent advanced qualification, although this is not essential where there is clear evidence of deep practical expertise in credit risk modelling and machine learning. What is critical is a strong grounding in mathematical thinking, statistical modelling and problem solving, combined with the ability to apply that knowledge in a commercial environment. Why This Role Stands Out Ownership of a high-performing, production-grade credit risk model Access to rich, real-world data with continuous feedback loops Direct influence on lending decisions and commercial performance Strong engineering support, allowing full focus on modelling High visibility with senior leadership Clear pathway to future Head of AI / Machine Learning role Opportunity to shape the next phase of a proven data capability Package & Flexibility 80,000- 120,000 base salary Bonus up to 15% Flexibility to 150,000 for exceptional candidates Hybrid working (East Midlands, typically 2-3 days onsite with flexibility)
AI Security Engineer Location: UK (Hybrid / Flexible Working) Level: Senior Sector: Financial Services We are working with a large, highly regulated financial organisation that is investing heavily in AI, cloud and next-generation security. They are looking to appoint an AI Security Engineer to help design, deliver and evolve security solutions that protect complex systems and sensitive data at scale. This role sits within a central security function responsible for safeguarding innovation, including GenAI and advanced data platforms and plays a critical part in shaping secure-by-design engineering across the business. The Role As an AI Security Engineer, you'll provide technical leadership and hands-on engineering across security architecture, cryptography, IAM and cloud-native platforms. You'll work closely with engineers, data scientists and security stakeholders to embed strong controls while enabling innovation. Key responsibilities include: Acting as a subject matter expert on security engineering patterns and best practice Designing and implementing solutions to protect systems, APIs and sensitive data Performing security audits, vulnerability assessments and supporting incident response Driving the adoption of modern cryptographic technologies and techniques Developing, implementing and maintaining Identity & Access Management (IAM) solutions Ensuring security controls align with regulatory requirements and business objectives Influencing stakeholders and contributing to security policy, governance and risk mitigation Skills & Experience Required Strong programming and scripting skills (Python and Bash essential) Solid experience with cloud platforms - AWS and/or Azure Strong understanding of API development and security Experience designing or implementing security controls in complex environments Knowledge of, or strong interest in, data science and AI-driven systems Comfortable operating in regulated, enterprise-scale environments Able to communicate complex and sensitive technical topics to senior stakeholders Why Apply? Work on cutting-edge AI and GenAI security challenges Influence security strategy within a large-scale, enterprise environment High-impact role with strong visibility across engineering and leadership teams Flexible working arrangements and a strong culture of collaboration Competitive compensation and long-term career development
May 17, 2026
Full time
AI Security Engineer Location: UK (Hybrid / Flexible Working) Level: Senior Sector: Financial Services We are working with a large, highly regulated financial organisation that is investing heavily in AI, cloud and next-generation security. They are looking to appoint an AI Security Engineer to help design, deliver and evolve security solutions that protect complex systems and sensitive data at scale. This role sits within a central security function responsible for safeguarding innovation, including GenAI and advanced data platforms and plays a critical part in shaping secure-by-design engineering across the business. The Role As an AI Security Engineer, you'll provide technical leadership and hands-on engineering across security architecture, cryptography, IAM and cloud-native platforms. You'll work closely with engineers, data scientists and security stakeholders to embed strong controls while enabling innovation. Key responsibilities include: Acting as a subject matter expert on security engineering patterns and best practice Designing and implementing solutions to protect systems, APIs and sensitive data Performing security audits, vulnerability assessments and supporting incident response Driving the adoption of modern cryptographic technologies and techniques Developing, implementing and maintaining Identity & Access Management (IAM) solutions Ensuring security controls align with regulatory requirements and business objectives Influencing stakeholders and contributing to security policy, governance and risk mitigation Skills & Experience Required Strong programming and scripting skills (Python and Bash essential) Solid experience with cloud platforms - AWS and/or Azure Strong understanding of API development and security Experience designing or implementing security controls in complex environments Knowledge of, or strong interest in, data science and AI-driven systems Comfortable operating in regulated, enterprise-scale environments Able to communicate complex and sensitive technical topics to senior stakeholders Why Apply? Work on cutting-edge AI and GenAI security challenges Influence security strategy within a large-scale, enterprise environment High-impact role with strong visibility across engineering and leadership teams Flexible working arrangements and a strong culture of collaboration Competitive compensation and long-term career development
Role: ML Lead Type: 12 Months Contract Location: London, UK Working Model: Hybrid (2 days per week in office) Payrate: (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications. Key Responsibilities: Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders. LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA. Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data. MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring. Responsible AI: Build trustworthy AI systems with quantifiable metrics for fairness, explainability, and compliance. This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
May 17, 2026
Contractor
Role: ML Lead Type: 12 Months Contract Location: London, UK Working Model: Hybrid (2 days per week in office) Payrate: (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications. Key Responsibilities: Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders. LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA. Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data. MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring. Responsible AI: Build trustworthy AI systems with quantifiable metrics for fairness, explainability, and compliance. This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
PR manager Location: Contracted to our Peterborough office with the flexibility for hybrid working Contract Type: Permanent Full time: 37.5 hours per week Salary: £36,000 - £40,000 depending on experience Benefits: We want all our employees to feel valued and engaged and are committed to offering a positive working culture along with a good work-life balance. As well as ensuring we pay our employees fairly, we offer the following benefits: Flexible working, Generous annual leave, Private Medical Insurance, including dental and optical, Pension Scheme, Sick Pay, Death in Service, Employee Assistance Programme, Bike Loan Scheme, Cycle2Work Scheme, Eyecare, Discount Portal. Closing date: Monday 1 June 2026 Interviews will be held Tuesday 16 June in our office in Peterborough No agencies please Be a part of an energetic and vibrant team who are driven by the desire to improve the lives of people living with kidney disease. Our vision is the day when everyone lives free from kidney disease. Kidney disease affects one in ten people in the UK, yet it still doesn t get the attention it deserves. At Kidney Research UK we are determined to change that. In this newly created role, we are looking for an experienced PR manager to help us significantly grow our media reach. You ll lead our press office and storytelling function and shape and deliver coverage that raises the profile of the charity and shows the reality, urgency and impact of kidney disease on patients and their families. You ll have a strong track record in press or media relations, excellent writing skills and the judgement to operate confidently and at pace. You ll be the first point of contact in the press office, with ability to spot a news story and the credibility to build lasting relationships with journalists. You ll also oversee our storytelling function, ensuring patient and supporter stories are handled with care and the right consent, safeguarding and data processes are in place. Working closely with fundraising, policy, research teams and colleagues in the marketing and communication team, you ll ensure PR plays a central role in our strategic priorities and campaigns. If you re ready to make kidney disease impossible to ignore, we d love to hear from you. If you are interested in the position, please complete the online application form and submit together with your CV. We are committed to providing equal opportunities for everyone and encourage applications from all sections of the community. About Kidney Research UK: Kidney Research UK is the leading charity in the UK focused on funding research into the prevention, treatment and management of kidney disease. Our vision is the day when everyone lives free from kidney disease and for more than 60 years the research, we fund has been making an impact. But kidney disease is increasing as are the factors contributing to it, such as diabetes, cardiovascular disease and obesity, making our work more essential than ever. At Kidney Research UK we work with clinicians and scientists across the UK, funding and facilitating research into all areas of kidney disease. We collaborate with partners across the public, private and third sectors to prevent kidney disease and drive innovation to transform treatments. Over the last ten years we have invested more than £71 million into research. We lobby governments and decision makers to change policy and practice to ensure that the estimated 7.2 million people living with all stages of kidney disease in the UK have access to the most effective care and treatment, and to make kidney disease a priority. Most importantly, we also work closely with patients, ensuring their voice is heard and is at the centre of everything we do, from deciding which research to invest in to how we plan our priorities and our work across the charity. Those patient contributions are vital, always helping us and our partners to understand what life is like with kidney disease, always ensuring we see the patient behind the treatment and always reminding us that behind every statistic and every number is a person the patients and the carers who inspire our mission and push us forward to make a difference and change the future of kidney disease. You may have experience of the following: PR Manager, Communications Manager, Corporate Communications Manager, External Communications Manager, Media Relations Manager, Digital PR, Social media strategy, Public Relations, Press Office, Charity, Charities, Third Sector, Not for Profit, NFP, etc. REF-(Apply online only)
May 16, 2026
Full time
PR manager Location: Contracted to our Peterborough office with the flexibility for hybrid working Contract Type: Permanent Full time: 37.5 hours per week Salary: £36,000 - £40,000 depending on experience Benefits: We want all our employees to feel valued and engaged and are committed to offering a positive working culture along with a good work-life balance. As well as ensuring we pay our employees fairly, we offer the following benefits: Flexible working, Generous annual leave, Private Medical Insurance, including dental and optical, Pension Scheme, Sick Pay, Death in Service, Employee Assistance Programme, Bike Loan Scheme, Cycle2Work Scheme, Eyecare, Discount Portal. Closing date: Monday 1 June 2026 Interviews will be held Tuesday 16 June in our office in Peterborough No agencies please Be a part of an energetic and vibrant team who are driven by the desire to improve the lives of people living with kidney disease. Our vision is the day when everyone lives free from kidney disease. Kidney disease affects one in ten people in the UK, yet it still doesn t get the attention it deserves. At Kidney Research UK we are determined to change that. In this newly created role, we are looking for an experienced PR manager to help us significantly grow our media reach. You ll lead our press office and storytelling function and shape and deliver coverage that raises the profile of the charity and shows the reality, urgency and impact of kidney disease on patients and their families. You ll have a strong track record in press or media relations, excellent writing skills and the judgement to operate confidently and at pace. You ll be the first point of contact in the press office, with ability to spot a news story and the credibility to build lasting relationships with journalists. You ll also oversee our storytelling function, ensuring patient and supporter stories are handled with care and the right consent, safeguarding and data processes are in place. Working closely with fundraising, policy, research teams and colleagues in the marketing and communication team, you ll ensure PR plays a central role in our strategic priorities and campaigns. If you re ready to make kidney disease impossible to ignore, we d love to hear from you. If you are interested in the position, please complete the online application form and submit together with your CV. We are committed to providing equal opportunities for everyone and encourage applications from all sections of the community. About Kidney Research UK: Kidney Research UK is the leading charity in the UK focused on funding research into the prevention, treatment and management of kidney disease. Our vision is the day when everyone lives free from kidney disease and for more than 60 years the research, we fund has been making an impact. But kidney disease is increasing as are the factors contributing to it, such as diabetes, cardiovascular disease and obesity, making our work more essential than ever. At Kidney Research UK we work with clinicians and scientists across the UK, funding and facilitating research into all areas of kidney disease. We collaborate with partners across the public, private and third sectors to prevent kidney disease and drive innovation to transform treatments. Over the last ten years we have invested more than £71 million into research. We lobby governments and decision makers to change policy and practice to ensure that the estimated 7.2 million people living with all stages of kidney disease in the UK have access to the most effective care and treatment, and to make kidney disease a priority. Most importantly, we also work closely with patients, ensuring their voice is heard and is at the centre of everything we do, from deciding which research to invest in to how we plan our priorities and our work across the charity. Those patient contributions are vital, always helping us and our partners to understand what life is like with kidney disease, always ensuring we see the patient behind the treatment and always reminding us that behind every statistic and every number is a person the patients and the carers who inspire our mission and push us forward to make a difference and change the future of kidney disease. You may have experience of the following: PR Manager, Communications Manager, Corporate Communications Manager, External Communications Manager, Media Relations Manager, Digital PR, Social media strategy, Public Relations, Press Office, Charity, Charities, Third Sector, Not for Profit, NFP, etc. REF-(Apply online only)
Sales Executive I page is loaded Sales Executive Ilocations: HOME UNITED KINGDOMtime type: Full timeposted on: Posted 24 Days Agojob requisition id: R53875 At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. OpenEye, Cadence Molecular Sciences - a division of Cadence Design Systems - is an industry leader in computational molecular design through rapid, robust, and scalable software, consulting services, and Orion(R), the only cloud-native fully integrated software-as-a-service molecular modeling platform. Combining unlimited computation and storage with powerful tools for data sharing, visualization and analysis in a customizable development platform, Orion offers unprecedented capabilities for the advancement of pharmaceuticals, biologics, agrochemicals, and flavors and fragrances. OpenEye, Cadence Molecular Sciences is headquartered in Santa Fe, N.M., with offices in Boston, Mass.; Cologne, Germany; and Yokohama, Japan . At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Title: Sales Executive I Location: United Kingdom (remote) Reports to: Group Director, Scientific Sales Job Overview: Sales Executive to join our fun-loving and unique commercial team to help build our rapidly growing business.You will utilise your technical knowledge, deep insight of the customer and broader industry knowledge to maximise and monetize the value of the OpenEye solutions, selling leading-edge software for computational chemistry, molecular design, and cloud-based scientific computation. You will develop and maintain open and honest relationships with current and prospective customers to maximize long-term revenue through selling of OpenEye solutions. You will need to rely on your relationships, knowledge, and superior communication skills to connect with business and technology customer stakeholders, identify critical customer challenges and gain buy-in to drive new business. Job Responsibilities: Maintain a good understanding of the OpenEye product line, research pipeline, vision, and philosophy. Communicate OpenEye knowledge to customers. Spend time interacting with current and prospective customers through video, phone, email, and site visits to optimally generate both maintenance revenue and new sales. Manage complex sales cycles including successful contract negotiations, involving high TCV greater than $2M. Help OpenEye grow in the existing market and establish new markets. Coordinate regional activities including software evaluations with application scientists and technology specialists. Work closely with colleagues in sales on global accounts. Generate and send new and renewal quotes; create, track, and update sales opportunities and information within SalesForce or other software systems. Provide territory financial updates as needed for senior management. Work with application scientists to develop and implement a regional plan to achieve sales growth. Attend scientific conferences representing OpenEye. Attend company and sales group meetings in the US. Travel to customer sites and internal meetings. Work with the marketing group; including conferences, event planning and execution. Collaborate with OpenEye colleagues and problem-solve as necessary to overcome sales obstacles. Job Qualifications: Bachelor's degree or greater in a scientific area, with a strong preference for chemistry or biology. 10+ years of successful experience selling either software, services, or instrumentation into the drug discovery market. Must have ability to call "high" (Executive Management) and help drive multi-million-dollar, complex sales campaigns with multiple decision makers and influencers across the customer organization. Deep understanding of the drug discovery market relevant to the customer ecosystem. The ability to foster and grow customer relationships throughout all levels of the customer organization to better connect our solutions with the customer's problems/business challenges and ensure roadmap alignment for long term success. A proven track-record demonstrating ability to identify and understand customer pain-points and the ability to communicate this to a broad range of technical and non-technical persons. Knowledge and demonstration of the ability to manage the complete sales process, strong communication skills, and the ability to interact with scientific and financial staff at all levels. A track record successfully managing multiple priorities, working with, and managing cross functional teams, and driving results as evidenced by overachievement of sales goals. Ability to meet deadlines, prioritize and plan. Ability to work independently, but also cooperatively with staff inside and outside of OpenEye. Excellent written and verbal skills. Additional Information: Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace. Travel You will interact with Customers in the UK and Europe. Employment is remote, with a strong preference for applicants that live in the Southeast of England (London/Cambridge/Oxford triangle). This position requires travel of up to 50%. We're doing work that matters. Help us solve what others can't. Equal Employment Opportunity Policy: Cadence is committed to equal employment opportunity throughout all levels of the organization.We welcome your interest in the company and want to make sure our job site is accessible to all. If you experience difficulty using this site or to request a reasonable accommodation, please contact . Privacy Policy: Job Applicant If you are a job seeker creating a profile using our careers website, please see the .E-Verify Cadence participates in theE-Verify program in certain U.S. locations as required by law.Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world's toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence. Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
May 16, 2026
Full time
Sales Executive I page is loaded Sales Executive Ilocations: HOME UNITED KINGDOMtime type: Full timeposted on: Posted 24 Days Agojob requisition id: R53875 At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. OpenEye, Cadence Molecular Sciences - a division of Cadence Design Systems - is an industry leader in computational molecular design through rapid, robust, and scalable software, consulting services, and Orion(R), the only cloud-native fully integrated software-as-a-service molecular modeling platform. Combining unlimited computation and storage with powerful tools for data sharing, visualization and analysis in a customizable development platform, Orion offers unprecedented capabilities for the advancement of pharmaceuticals, biologics, agrochemicals, and flavors and fragrances. OpenEye, Cadence Molecular Sciences is headquartered in Santa Fe, N.M., with offices in Boston, Mass.; Cologne, Germany; and Yokohama, Japan . At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Title: Sales Executive I Location: United Kingdom (remote) Reports to: Group Director, Scientific Sales Job Overview: Sales Executive to join our fun-loving and unique commercial team to help build our rapidly growing business.You will utilise your technical knowledge, deep insight of the customer and broader industry knowledge to maximise and monetize the value of the OpenEye solutions, selling leading-edge software for computational chemistry, molecular design, and cloud-based scientific computation. You will develop and maintain open and honest relationships with current and prospective customers to maximize long-term revenue through selling of OpenEye solutions. You will need to rely on your relationships, knowledge, and superior communication skills to connect with business and technology customer stakeholders, identify critical customer challenges and gain buy-in to drive new business. Job Responsibilities: Maintain a good understanding of the OpenEye product line, research pipeline, vision, and philosophy. Communicate OpenEye knowledge to customers. Spend time interacting with current and prospective customers through video, phone, email, and site visits to optimally generate both maintenance revenue and new sales. Manage complex sales cycles including successful contract negotiations, involving high TCV greater than $2M. Help OpenEye grow in the existing market and establish new markets. Coordinate regional activities including software evaluations with application scientists and technology specialists. Work closely with colleagues in sales on global accounts. Generate and send new and renewal quotes; create, track, and update sales opportunities and information within SalesForce or other software systems. Provide territory financial updates as needed for senior management. Work with application scientists to develop and implement a regional plan to achieve sales growth. Attend scientific conferences representing OpenEye. Attend company and sales group meetings in the US. Travel to customer sites and internal meetings. Work with the marketing group; including conferences, event planning and execution. Collaborate with OpenEye colleagues and problem-solve as necessary to overcome sales obstacles. Job Qualifications: Bachelor's degree or greater in a scientific area, with a strong preference for chemistry or biology. 10+ years of successful experience selling either software, services, or instrumentation into the drug discovery market. Must have ability to call "high" (Executive Management) and help drive multi-million-dollar, complex sales campaigns with multiple decision makers and influencers across the customer organization. Deep understanding of the drug discovery market relevant to the customer ecosystem. The ability to foster and grow customer relationships throughout all levels of the customer organization to better connect our solutions with the customer's problems/business challenges and ensure roadmap alignment for long term success. A proven track-record demonstrating ability to identify and understand customer pain-points and the ability to communicate this to a broad range of technical and non-technical persons. Knowledge and demonstration of the ability to manage the complete sales process, strong communication skills, and the ability to interact with scientific and financial staff at all levels. A track record successfully managing multiple priorities, working with, and managing cross functional teams, and driving results as evidenced by overachievement of sales goals. Ability to meet deadlines, prioritize and plan. Ability to work independently, but also cooperatively with staff inside and outside of OpenEye. Excellent written and verbal skills. Additional Information: Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace. Travel You will interact with Customers in the UK and Europe. Employment is remote, with a strong preference for applicants that live in the Southeast of England (London/Cambridge/Oxford triangle). This position requires travel of up to 50%. We're doing work that matters. Help us solve what others can't. Equal Employment Opportunity Policy: Cadence is committed to equal employment opportunity throughout all levels of the organization.We welcome your interest in the company and want to make sure our job site is accessible to all. If you experience difficulty using this site or to request a reasonable accommodation, please contact . Privacy Policy: Job Applicant If you are a job seeker creating a profile using our careers website, please see the .E-Verify Cadence participates in theE-Verify program in certain U.S. locations as required by law.Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world's toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence. Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
Data Scientist- Modelling & Intelligence - London London Hybrid (3 days in the office, 2 days from home) 6 month Fixed Term Contract Salary to 69,000 pro rata experience dependent Ref: J13096 What if modelling actually sat at the centre of business decisions, not just reporting? We're working with a leading independent property consultancy, building out a new analytics capability, where modelling is becoming central to how the business operates. This isn't a reporting role. It's focused on exploring data and solving real problems. Recent work has included: Clustering complex datasets Modelling trends to support commercial decisions Understanding patterns and behaviours across large datasets You'll work closely with stakeholders to shape problems, build models and turn analysis into something people can actually use. Python is key, with a strong focus on modelling and thinking rather than tooling. We're looking for someone who is comfortable working with messy data, enjoys problem solving and can communicate clearly with non technical stakeholders. What you'll bring Strong Python and SQL Advanced modelling capability Experience working with complex datasets Strong communication and stakeholder engagement Experience working with spatial and non spatial data desirable Exposure to Azure or Databricks beneficial Degree in a quantitative field, MSc or higher beneficial It's an opportunity to join a team that is still taking shape, with real influence over how data is used going forward. Get in touch to learn more. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity. Alternatively, you can refer a friend or colleague by taking part in our referral scheme. For each relevant candidate you introduce and we place, you will be entitled to our reward scheme. Datatech is one of the UK's leading recruitment agencies in analytics and the host of Women in Data. For more information, visit (url removed) .
May 16, 2026
Full time
Data Scientist- Modelling & Intelligence - London London Hybrid (3 days in the office, 2 days from home) 6 month Fixed Term Contract Salary to 69,000 pro rata experience dependent Ref: J13096 What if modelling actually sat at the centre of business decisions, not just reporting? We're working with a leading independent property consultancy, building out a new analytics capability, where modelling is becoming central to how the business operates. This isn't a reporting role. It's focused on exploring data and solving real problems. Recent work has included: Clustering complex datasets Modelling trends to support commercial decisions Understanding patterns and behaviours across large datasets You'll work closely with stakeholders to shape problems, build models and turn analysis into something people can actually use. Python is key, with a strong focus on modelling and thinking rather than tooling. We're looking for someone who is comfortable working with messy data, enjoys problem solving and can communicate clearly with non technical stakeholders. What you'll bring Strong Python and SQL Advanced modelling capability Experience working with complex datasets Strong communication and stakeholder engagement Experience working with spatial and non spatial data desirable Exposure to Azure or Databricks beneficial Degree in a quantitative field, MSc or higher beneficial It's an opportunity to join a team that is still taking shape, with real influence over how data is used going forward. Get in touch to learn more. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity. Alternatively, you can refer a friend or colleague by taking part in our referral scheme. For each relevant candidate you introduce and we place, you will be entitled to our reward scheme. Datatech is one of the UK's leading recruitment agencies in analytics and the host of Women in Data. For more information, visit (url removed) .
Data Platform Manager UK / Remote Circa 70k per annum + 15% bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
May 16, 2026
Full time
Data Platform Manager UK / Remote Circa 70k per annum + 15% bonus & benefits Are you ready to take ownership of a data platform and shape how data drives business decisions? This is a rare opportunity to step into a leadership role where you'll combine hands-on data engineering with strategic product management, all while building and mentoring a high-performing team. You'll play a pivotal role in evolving a modern data platform (Microsoft Fabric / Azure Synapse), ensuring it delivers real business value, scalability, and innovation. If you're passionate about data, leadership, and building robust data solutions-this is one you don't want to miss. What you'll be doing Own the end-to-end lifecycle of a core data platform, from design and build through to release, optimisation, and retirement Collaborate closely with product owners and data scientists to align platform capabilities with business needs Lead datalake migration initiatives, including consolidation of legacy data, medallion architecture design, schema evolution, and cutover planning Provide hands-on data engineering expertise, building and optimising PySpark pipelines Ensure data is secure, high-quality, accessible, and structured for maximum business value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely with stakeholders across operations, analytics, and reporting teams Ensure compliance with data protection regulations and internal policies What you'll bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion architecture, incremental loads, backfill, cutover) Strong understanding of data governance, quality, and lifecycle management Experience with BI tools such as Power BI or Tableau Knowledge of DevOps practices (Git, Azure DevOps, CI/CD pipelines) Strong Python skills and experience with APIs/data integration tools Understanding of data protection regulations Leadership experience with the ability to mentor and develop teams Excellent communication, problem-solving, and stakeholder management skills Desirable: Experience with project management methodologies, SDLC tools, and awareness of emerging data trends If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Product Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Data Entry Administrator Location : Oak Tree House, Earby, BB18 6JZ Salary : £27,500 £28,500 per annum, DOE + Excellent Benefits! Contract : Full time, Permanent Hours : Full time, 40 hours per week (Monday Friday, 8-hour days with a 30-minute break) Benefits : Annual Bonus: £1,200 based on company and personal performance, Holidays: 25 days plus statutory holidays (option to purchase additional week), BroughtonDay: Option for a fixed day off every 2 3 weeks via salary sacrifice, Pension: Auto-enrolment, Life Insurance: 2x death in service and Healthcare: Cash plan Broughton s mission is to improve public health and well-being. As a global contract research organisation, we partner with future-focused organisations and category innovators to bring products to market across the Pharmaceutical, Healthcare, and Lifestyle sectors. Our integrated solutions are delivered by world-leading scientists and regulatory consultants through our contract laboratories. We are now recruiting for a new role within the business and it is a true data entry role. You will be responsible for the accurate entry, maintenance and management of laboratory data within approved systems. The role requires a high level of concentration and precision over sustained periods. Much of the work is repetitive by nature and carried out within strict regulatory frameworks. It is well suited to someone who values accuracy, is comfortable working methodically and takes pride in producing consistently high-quality work in a regulated environment. As our Data Entry Administrator you will: Accurately enter and tabulate laboratory data into approved spreadsheets and systems for routine and ad-hoc reporting, ensuring full compliance with GMP requirements Maintain clear, organised, contemporaneous and audit-ready records in line with ALCOA principles Apply sustained focus and attention to detail when completing high-volume, repetitive data entry tasks Support the Stability team with sample preparation activities, including labelling, documentation and preparation for stability set-down Assist with routine procurement and supply chain activities, including receiving samples and deliveries, arranging carriers, movement of goods, assisting with purchasing and checking non-scientific deliveries Undertake other administrative tasks as required to support business operations In order to be successful in this role you must have / be: GCSE English and Maths (or equivalent) Proven experience in a data entry or administrative role requiring accuracy and consistency Strong IT skills, particularly Microsoft Excel and Word Exceptional attention to detail with a strong commitment to data accuracy Ability to maintain focus and precision when performing repetitive tasks Methodical and disciplined approach to work Comfortable working to defined procedures and regulatory standards Quality-driven mindset with an understanding of the importance of accurate records It would be great if you had: Data entry or data tabulation experience within a regulated environment Previous experience within a laboratory or scientific setting Join us and be part of a team that s shaping the future of health and well-being through science. If you are interested in this role, please do submit a copy of your CV by clicking on APPLY today! No agencies please.
May 16, 2026
Full time
Data Entry Administrator Location : Oak Tree House, Earby, BB18 6JZ Salary : £27,500 £28,500 per annum, DOE + Excellent Benefits! Contract : Full time, Permanent Hours : Full time, 40 hours per week (Monday Friday, 8-hour days with a 30-minute break) Benefits : Annual Bonus: £1,200 based on company and personal performance, Holidays: 25 days plus statutory holidays (option to purchase additional week), BroughtonDay: Option for a fixed day off every 2 3 weeks via salary sacrifice, Pension: Auto-enrolment, Life Insurance: 2x death in service and Healthcare: Cash plan Broughton s mission is to improve public health and well-being. As a global contract research organisation, we partner with future-focused organisations and category innovators to bring products to market across the Pharmaceutical, Healthcare, and Lifestyle sectors. Our integrated solutions are delivered by world-leading scientists and regulatory consultants through our contract laboratories. We are now recruiting for a new role within the business and it is a true data entry role. You will be responsible for the accurate entry, maintenance and management of laboratory data within approved systems. The role requires a high level of concentration and precision over sustained periods. Much of the work is repetitive by nature and carried out within strict regulatory frameworks. It is well suited to someone who values accuracy, is comfortable working methodically and takes pride in producing consistently high-quality work in a regulated environment. As our Data Entry Administrator you will: Accurately enter and tabulate laboratory data into approved spreadsheets and systems for routine and ad-hoc reporting, ensuring full compliance with GMP requirements Maintain clear, organised, contemporaneous and audit-ready records in line with ALCOA principles Apply sustained focus and attention to detail when completing high-volume, repetitive data entry tasks Support the Stability team with sample preparation activities, including labelling, documentation and preparation for stability set-down Assist with routine procurement and supply chain activities, including receiving samples and deliveries, arranging carriers, movement of goods, assisting with purchasing and checking non-scientific deliveries Undertake other administrative tasks as required to support business operations In order to be successful in this role you must have / be: GCSE English and Maths (or equivalent) Proven experience in a data entry or administrative role requiring accuracy and consistency Strong IT skills, particularly Microsoft Excel and Word Exceptional attention to detail with a strong commitment to data accuracy Ability to maintain focus and precision when performing repetitive tasks Methodical and disciplined approach to work Comfortable working to defined procedures and regulatory standards Quality-driven mindset with an understanding of the importance of accurate records It would be great if you had: Data entry or data tabulation experience within a regulated environment Previous experience within a laboratory or scientific setting Join us and be part of a team that s shaping the future of health and well-being through science. If you are interested in this role, please do submit a copy of your CV by clicking on APPLY today! No agencies please.
Data Science Manager Salary: 100K - 120K + bonus + benefits Location: London (Hybrid) At Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable impact. This is a highly visible leadership role sitting at the intersection of data science, commercial strategy, and customer experience. The Opportunity As the Data Science Manager, you'll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership role with real influence, balancing strategic direction with hands-on technical oversight where needed. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, advanced analytics, or statistical modelling Strong stakeholder management skills with the ability to influence senior leadership Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a data-driven environment where your insight directly influences marketing and commercial performance, please submit your CV for initial screening and further details. Data Science Manager
May 16, 2026
Full time
Data Science Manager Salary: 100K - 120K + bonus + benefits Location: London (Hybrid) At Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable impact. This is a highly visible leadership role sitting at the intersection of data science, commercial strategy, and customer experience. The Opportunity As the Data Science Manager, you'll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership role with real influence, balancing strategic direction with hands-on technical oversight where needed. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, advanced analytics, or statistical modelling Strong stakeholder management skills with the ability to influence senior leadership Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a data-driven environment where your insight directly influences marketing and commercial performance, please submit your CV for initial screening and further details. Data Science Manager
Job Title: Senior Data Scientist at Faculty Salary: £85,000-£105,000 Company Description: Faculty - Applied AI Leader Job Description Join Faculty's Frontier team to build Computational Twins-sophisticated AI replicas of complex organizational systems. You will lead the design and deployment of production-grade decision intelligence solutions for high-stakes sectors like healthcare and life sciences. This role blends deep technical ML expertise with strategic client leadership to solve critical real-world challenges at scale. Location: London, UK Why this role is remarkable Work at the forefront of Decision Intelligence creating "Computational Twins" that simulate entire business processes for organizations like the NHS and global pharma leaders. Join a PhD-heavy technical culture recently recognized by Gartner as a Visionary, now backed by Accenture's global infrastructure to scale your impact internationally. Enjoy high-end benefits including an unlimited annual leave policy, private healthcare, dental, and specialized professional coaching through Sanctus. What you will do Design and build AI-driven digital reflections of complex systems using supervised learning, time-series, and Bayesian methods to optimize critical decision processes. Lead cross-functional squads of engineers and designers to deliver end-to-end production-grade AI solutions directly to senior stakeholders. Mentor and develop emerging data science talent through technical leadership, code reviews, and potential line management responsibilities. The ideal candidate Possesses 4+ years of professional experience in data science or quantitative research with a strong foundation in statistics and mathematics. Demonstrates expert-level Python proficiency (NumPy, Pandas) and deep familiarity with frameworks like TensorFlow or PyTorch for production environments. Exhibits a business-focused mindset with the communication skills required to translate complex technical strategies into actionable value for commercial clients.
May 16, 2026
Full time
Job Title: Senior Data Scientist at Faculty Salary: £85,000-£105,000 Company Description: Faculty - Applied AI Leader Job Description Join Faculty's Frontier team to build Computational Twins-sophisticated AI replicas of complex organizational systems. You will lead the design and deployment of production-grade decision intelligence solutions for high-stakes sectors like healthcare and life sciences. This role blends deep technical ML expertise with strategic client leadership to solve critical real-world challenges at scale. Location: London, UK Why this role is remarkable Work at the forefront of Decision Intelligence creating "Computational Twins" that simulate entire business processes for organizations like the NHS and global pharma leaders. Join a PhD-heavy technical culture recently recognized by Gartner as a Visionary, now backed by Accenture's global infrastructure to scale your impact internationally. Enjoy high-end benefits including an unlimited annual leave policy, private healthcare, dental, and specialized professional coaching through Sanctus. What you will do Design and build AI-driven digital reflections of complex systems using supervised learning, time-series, and Bayesian methods to optimize critical decision processes. Lead cross-functional squads of engineers and designers to deliver end-to-end production-grade AI solutions directly to senior stakeholders. Mentor and develop emerging data science talent through technical leadership, code reviews, and potential line management responsibilities. The ideal candidate Possesses 4+ years of professional experience in data science or quantitative research with a strong foundation in statistics and mathematics. Demonstrates expert-level Python proficiency (NumPy, Pandas) and deep familiarity with frameworks like TensorFlow or PyTorch for production environments. Exhibits a business-focused mindset with the communication skills required to translate complex technical strategies into actionable value for commercial clients.
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
May 16, 2026
Full time
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Role Overview We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence. Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact. Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics. Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders. Preferred Skills Entrepreneurial background or experience in early-stage startups. High analytical and technical acumen with an obsession for speed-to-market.
May 15, 2026
Full time
Role Overview We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence. Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact. Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics. Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders. Preferred Skills Entrepreneurial background or experience in early-stage startups. High analytical and technical acumen with an obsession for speed-to-market.
Operations Support Assistant Location : Site-based (either site) Earby, BB18 6JZ or Broughton, BD23 3AG Salary : £26,000 £28,000 per annum + Excellent Benefits Hours : 40 hours per week, Monday Friday (8-hour days, 30-minute lunch break) Contract Type : Full time, Permanent Benefits : Annual Bonus : £1,200 based on company and personal performance, Holidays : 25 days plus statutory holidays (option to purchase additional week), Broughton Day : Option for a fixed day off every 2 3 weeks via salary sacrifice, Pension : Auto-enrolment, Life Insurance : 2x death in service and Healthcare : Cash plan Broughton s mission is to improve public health and well-being. As a global contract research organisation, we partner with future-focused organisations and category innovators to bring products to market across the Pharmaceutical, Healthcare, and Lifestyle sectors. Our integrated solutions are delivered by world-leading scientists and regulatory consultants through our contract laboratories. We are seeking an Operations Support Assistant to join our team! This role is essential in supporting laboratory operations and ensuring timely completion of analyses. While this is not a scientific role, it offers the chance to work closely with our laboratory teams and gain insight into the workings of an analytical environment. You ll play a vital role in supporting the smooth running of our laboratories. This is an opportunity to join a collaborative team where attention to detail and pride in your work make a real difference to the success of our operations. You ll be involved in a variety of tasks that keep our labs functioning efficiently, from managing stock and glassware to registering client samples and supporting physical testing. If you enjoy working in a structured environment and take satisfaction in ensuring everything runs seamlessly, this role is for you! As our Operations Support Assistant, you will: Support laboratory teams in day-to-day tasks. Perform laboratory housekeeping and ensure compliance with regulations. Register client samples and manage sample receipt and reconciliation. Maintain availability of clean glassware and perform routine stocktakes. Follow the KANBAN process to ensure timely ordering of stock and reagents. Book chemicals and consumables in and out, ensuring accurate records. Prepare high-demand diluents and other solutions as required. Perform some physical chemistry testing and operate vaping simulation hardware. Travel between sites occasionally to support stability and archive activities. Maintain and understand the QMS and produce quality documents in line with data integrity requirements. Support the laboratory team as required and perform other duties as needed. In order to be successful in this role you must have / be: Good attention to detail and ability to follow instructions carefully. Good IT skills, including working knowledge of Microsoft applications. Strong verbal, numerical, and literacy skills. It would be great if you had: Good written English and organisational skills. GCSE or equivalent in a science-related subject with a desire to learn the workings of an analytical laboratory. Join us and be part of a team that s shaping the future of health and well-being through science. If you are interested in this role, please do submit a copy of your CV by clicking on APPLY today! No agencies please.
May 15, 2026
Full time
Operations Support Assistant Location : Site-based (either site) Earby, BB18 6JZ or Broughton, BD23 3AG Salary : £26,000 £28,000 per annum + Excellent Benefits Hours : 40 hours per week, Monday Friday (8-hour days, 30-minute lunch break) Contract Type : Full time, Permanent Benefits : Annual Bonus : £1,200 based on company and personal performance, Holidays : 25 days plus statutory holidays (option to purchase additional week), Broughton Day : Option for a fixed day off every 2 3 weeks via salary sacrifice, Pension : Auto-enrolment, Life Insurance : 2x death in service and Healthcare : Cash plan Broughton s mission is to improve public health and well-being. As a global contract research organisation, we partner with future-focused organisations and category innovators to bring products to market across the Pharmaceutical, Healthcare, and Lifestyle sectors. Our integrated solutions are delivered by world-leading scientists and regulatory consultants through our contract laboratories. We are seeking an Operations Support Assistant to join our team! This role is essential in supporting laboratory operations and ensuring timely completion of analyses. While this is not a scientific role, it offers the chance to work closely with our laboratory teams and gain insight into the workings of an analytical environment. You ll play a vital role in supporting the smooth running of our laboratories. This is an opportunity to join a collaborative team where attention to detail and pride in your work make a real difference to the success of our operations. You ll be involved in a variety of tasks that keep our labs functioning efficiently, from managing stock and glassware to registering client samples and supporting physical testing. If you enjoy working in a structured environment and take satisfaction in ensuring everything runs seamlessly, this role is for you! As our Operations Support Assistant, you will: Support laboratory teams in day-to-day tasks. Perform laboratory housekeeping and ensure compliance with regulations. Register client samples and manage sample receipt and reconciliation. Maintain availability of clean glassware and perform routine stocktakes. Follow the KANBAN process to ensure timely ordering of stock and reagents. Book chemicals and consumables in and out, ensuring accurate records. Prepare high-demand diluents and other solutions as required. Perform some physical chemistry testing and operate vaping simulation hardware. Travel between sites occasionally to support stability and archive activities. Maintain and understand the QMS and produce quality documents in line with data integrity requirements. Support the laboratory team as required and perform other duties as needed. In order to be successful in this role you must have / be: Good attention to detail and ability to follow instructions carefully. Good IT skills, including working knowledge of Microsoft applications. Strong verbal, numerical, and literacy skills. It would be great if you had: Good written English and organisational skills. GCSE or equivalent in a science-related subject with a desire to learn the workings of an analytical laboratory. Join us and be part of a team that s shaping the future of health and well-being through science. If you are interested in this role, please do submit a copy of your CV by clicking on APPLY today! No agencies please.
Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.
May 15, 2026
Full time
Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
May 15, 2026
Full time
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
As a Product Manager for AI Data Products , you will be a founding architect of our modern data ecosystem. Operating within the Data Enablement team, your mission is to transform raw data into a strategic asset that powers our Global Client Groups across Sales, Marketing, and Digital Experience. What We're Looking For Experience: 5+ years in Product Management with a track record of launching data platforms or AI-enabled products . Domain Expertise: Proven experience in B2B or B2B2C environments, ideally within Financial Services, Asset Management , or a similarly regulated industry. Technical Proficiency: Hands-on experience with Data Lakes/Warehouses (e.g., Snowflake), Feature Stores, and MLOps concepts. Data Literacy: Ability to perform data profiling and analysis using SQL and Python to drive product decisions. Communication: Exceptional ability to influence a diverse audience, from C-suite leaders to deeply technical engineers and data scientists. Education: Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering , or a related field (Master's preferred). Technical Skills Required Data Tools: SQL, Python, Snowflake/Databricks, Tableau/Power BI. Frameworks: Agile/Scrum, MLOps, Data Governance, Metadata Management. Integration: API design, event-driven architecture, and data modeling. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
May 15, 2026
Contractor
As a Product Manager for AI Data Products , you will be a founding architect of our modern data ecosystem. Operating within the Data Enablement team, your mission is to transform raw data into a strategic asset that powers our Global Client Groups across Sales, Marketing, and Digital Experience. What We're Looking For Experience: 5+ years in Product Management with a track record of launching data platforms or AI-enabled products . Domain Expertise: Proven experience in B2B or B2B2C environments, ideally within Financial Services, Asset Management , or a similarly regulated industry. Technical Proficiency: Hands-on experience with Data Lakes/Warehouses (e.g., Snowflake), Feature Stores, and MLOps concepts. Data Literacy: Ability to perform data profiling and analysis using SQL and Python to drive product decisions. Communication: Exceptional ability to influence a diverse audience, from C-suite leaders to deeply technical engineers and data scientists. Education: Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering , or a related field (Master's preferred). Technical Skills Required Data Tools: SQL, Python, Snowflake/Databricks, Tableau/Power BI. Frameworks: Agile/Scrum, MLOps, Data Governance, Metadata Management. Integration: API design, event-driven architecture, and data modeling. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Senior Product Analyst - £80,000 (Hybrid - London) Industry: Global Consumer Marketplace / App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core product domain Drive deep product analytics to uncover opportunities for growth and engagement Design, analyse, and interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/B testing experience (design + interpretation) Strong understanding of ETL/debugging data issues Excellent communication and stakeholder management skills Commercially-minded with experience balancing user and business needs Bonus: marketplace experience or exposure to ML-driven products Why Apply High-impact role shaping core product decisions Great benefits, flexible work, and strong wellbeing support Opportunity to work closely with ML teams and influence a global user experience Find out more and apply via the link below.
May 15, 2026
Full time
Senior Product Analyst - £80,000 (Hybrid - London) Industry: Global Consumer Marketplace / App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core product domain Drive deep product analytics to uncover opportunities for growth and engagement Design, analyse, and interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/B testing experience (design + interpretation) Strong understanding of ETL/debugging data issues Excellent communication and stakeholder management skills Commercially-minded with experience balancing user and business needs Bonus: marketplace experience or exposure to ML-driven products Why Apply High-impact role shaping core product decisions Great benefits, flexible work, and strong wellbeing support Opportunity to work closely with ML teams and influence a global user experience Find out more and apply via the link below.
Title: Python Engineer Salary: Up to £60,000 Location: Bristol (On-site) Are you a Python Engineer looking to work on complex, high-impact data problems in a fast-moving and innovative sector? I'm working with a market-leading trading firm at the heart of the UK's energy transition. They use advanced forecasting and trading technology to help balance the National Grid, playing a crucial role in supporting the UK's decarbonisation efforts. This is a small, highly skilled team where technology and trading go hand in hand. You'll be building and optimising the internal data infrastructure that powers critical trading decisions. This is a hands-on role with real impact, and your work will be used daily by traders and data scientists. What they're looking for: Strong skills in Python and SQL Experience building end-to-end data pipelines (streaming or batch) Solid understanding of AWS (EC2, ECS, RDS, S3) 2+ years of relevant experience in data engineering Great communication skills - comfortable collaborating with traders, devs, and data scientists Happy to work onsite in central Bristol most of the time Nice to have: Experience in trading, betting or energy markets AWS data engineering tools, Docker, DevOps or Apache suite Analytical background and data modelling experience Why this role? Private medical, dental & life assurance 30 days annual leave + public holidays Cycle-to-Work scheme Annual company ski trips & regular socials Further training & development opportunities Direct access to leadership - no red tap This is a brilliant opportunity to work with cutting-edge data systems that directly impact trading strategy in a company where your ideas will be heard and your work will make a difference. If you're interested in this role, or know someone who would be, then please apply to this role and reach out
May 15, 2026
Full time
Title: Python Engineer Salary: Up to £60,000 Location: Bristol (On-site) Are you a Python Engineer looking to work on complex, high-impact data problems in a fast-moving and innovative sector? I'm working with a market-leading trading firm at the heart of the UK's energy transition. They use advanced forecasting and trading technology to help balance the National Grid, playing a crucial role in supporting the UK's decarbonisation efforts. This is a small, highly skilled team where technology and trading go hand in hand. You'll be building and optimising the internal data infrastructure that powers critical trading decisions. This is a hands-on role with real impact, and your work will be used daily by traders and data scientists. What they're looking for: Strong skills in Python and SQL Experience building end-to-end data pipelines (streaming or batch) Solid understanding of AWS (EC2, ECS, RDS, S3) 2+ years of relevant experience in data engineering Great communication skills - comfortable collaborating with traders, devs, and data scientists Happy to work onsite in central Bristol most of the time Nice to have: Experience in trading, betting or energy markets AWS data engineering tools, Docker, DevOps or Apache suite Analytical background and data modelling experience Why this role? Private medical, dental & life assurance 30 days annual leave + public holidays Cycle-to-Work scheme Annual company ski trips & regular socials Further training & development opportunities Direct access to leadership - no red tap This is a brilliant opportunity to work with cutting-edge data systems that directly impact trading strategy in a company where your ideas will be heard and your work will make a difference. If you're interested in this role, or know someone who would be, then please apply to this role and reach out
