Job Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Jun 30, 2026
Full time
Job Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Job Title: Machine Learning Engineer (Computer Vision) Location: Oxford Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Jun 30, 2026
Full time
Job Title: Machine Learning Engineer (Computer Vision) Location: Oxford Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they re scaling globally and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements • Strong, current Python, including building and maintaining production services with FastAPI or similar. • Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes. • Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation. • Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly. • Practical understanding of working in a regulated or compliance-sensitive environment: data residency, de-identification, model governance, auditability, and why explainability matters. • The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship. • OpenCV and classical computer vision alongside deep learning. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
Jun 30, 2026
Full time
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they re scaling globally and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements • Strong, current Python, including building and maintaining production services with FastAPI or similar. • Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes. • Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation. • Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly. • Practical understanding of working in a regulated or compliance-sensitive environment: data residency, de-identification, model governance, auditability, and why explainability matters. • The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship. • OpenCV and classical computer vision alongside deep learning. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
Content Designer: Agentic experience Design Location: London Contract Length: 6 months Working Pattern: Hybrid - 2 days per week in the office. Via Umbrella company Are you ready to take your content design skills to the next level? Our client, a leading player in the banking industry, is seeking a passionate and innovative Content Designer to join their team for a 6-month temporary contract. This is your chance to shape customer-first experiences in the exciting realm of Conversational Banking! What You'll Do: As an agentic Content Designer, you will: Collaborate with a dynamic cross-functional team to create engaging, safe, and compliant customer experiences. Leverage your content design expertise to understand customer needs and craft AI-powered content that is structured, accurate, and machine-usable. Develop content approaches for emerging AI patterns, ensuring clear communication and usability. Partner with data scientists and engineers to define and evolve a knowledge graph that models relationships across products and systems. Conduct content audits and refine content strategies to ensure readiness for AI systems. Prototype, test, and iterate to continuously improve the quality of customer interactions. What You Bring: Content Design Expertise: Strong UX writing skills and the ability to simplify complex information. Design Thinking: Proficiency in problem framing, ideation, and testing. Systems Mindset: Ability to design content across entire journeys and ecosystems, not just individual screens. Collaboration Skills: Comfort in partnering with various stakeholders, including product, engineering, and legal teams. AI Awareness: Familiarity with generative AI and conversational design principles is a plus. Structured Content Knowledge: Experience with content models, taxonomies, and metadata. Data-Driven Mindset: Ability to work effectively with data teams on content pipelines and quality checks. Quality and Risk Awareness: Understanding the importance of accuracy and compliance in regulated environments. What We Offer: Flexible Working Arrangements: Enjoy a hybrid working model, with the option to work from home and collaborate in the office two days a week. Professional Development: Opportunities for growth and support to optimize your potential. Inclusive Culture: Join a team that values diversity and encourages everyone to contribute their unique perspectives. If you're a go-getter ready to embrace the exciting world of agentic design in banking, we want to hear from you! This is your opportunity to make a real impact and drive innovation in customer experiences. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Jun 30, 2026
Contractor
Content Designer: Agentic experience Design Location: London Contract Length: 6 months Working Pattern: Hybrid - 2 days per week in the office. Via Umbrella company Are you ready to take your content design skills to the next level? Our client, a leading player in the banking industry, is seeking a passionate and innovative Content Designer to join their team for a 6-month temporary contract. This is your chance to shape customer-first experiences in the exciting realm of Conversational Banking! What You'll Do: As an agentic Content Designer, you will: Collaborate with a dynamic cross-functional team to create engaging, safe, and compliant customer experiences. Leverage your content design expertise to understand customer needs and craft AI-powered content that is structured, accurate, and machine-usable. Develop content approaches for emerging AI patterns, ensuring clear communication and usability. Partner with data scientists and engineers to define and evolve a knowledge graph that models relationships across products and systems. Conduct content audits and refine content strategies to ensure readiness for AI systems. Prototype, test, and iterate to continuously improve the quality of customer interactions. What You Bring: Content Design Expertise: Strong UX writing skills and the ability to simplify complex information. Design Thinking: Proficiency in problem framing, ideation, and testing. Systems Mindset: Ability to design content across entire journeys and ecosystems, not just individual screens. Collaboration Skills: Comfort in partnering with various stakeholders, including product, engineering, and legal teams. AI Awareness: Familiarity with generative AI and conversational design principles is a plus. Structured Content Knowledge: Experience with content models, taxonomies, and metadata. Data-Driven Mindset: Ability to work effectively with data teams on content pipelines and quality checks. Quality and Risk Awareness: Understanding the importance of accuracy and compliance in regulated environments. What We Offer: Flexible Working Arrangements: Enjoy a hybrid working model, with the option to work from home and collaborate in the office two days a week. Professional Development: Opportunities for growth and support to optimize your potential. Inclusive Culture: Join a team that values diversity and encourages everyone to contribute their unique perspectives. If you're a go-getter ready to embrace the exciting world of agentic design in banking, we want to hear from you! This is your opportunity to make a real impact and drive innovation in customer experiences. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Job title: Data Scientist Locations: Manchester or Haywards Heath (hybrid working) Markerstudy Group are looking for a Data Scientist to join a quickly growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. The majority of business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. Role overview As a Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing and machine learning teams to provide insight across the business Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market Identify and create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability Be the technical lead in the development of predictive models that solve business challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other teams to analyse and identify improvements to risk modelling and wider business challenges Use a wide range of data science and statistical techniques Research and leverage new and existing internal and/or external data sources Communicate results to key decision makers across the business Assist in the deployment and monitoring effort to ensure efficient implementation of the solutions created Key Skills and Experience: PhD. or masters in statistics, data science or equivalent field or Degree with number of years of relevant experience Previous experience within data science Experience in insurance pricing and modelling Experience and detailed technical knowledge of GLMs /Elastic Nets, GBMs, GAMs, Random Forests, Neural Networks and clustering techniques Knowledge of statistics and distributions commonly used in insurance Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by technical excellence Driven to deliver iterative improvements in a timely fashion Team player Self-motivated with a drive to learn and develop Logical thinker with a professional and positive attitude
Jun 30, 2026
Full time
Job title: Data Scientist Locations: Manchester or Haywards Heath (hybrid working) Markerstudy Group are looking for a Data Scientist to join a quickly growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. The majority of business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. Role overview As a Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing and machine learning teams to provide insight across the business Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market Identify and create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability Be the technical lead in the development of predictive models that solve business challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other teams to analyse and identify improvements to risk modelling and wider business challenges Use a wide range of data science and statistical techniques Research and leverage new and existing internal and/or external data sources Communicate results to key decision makers across the business Assist in the deployment and monitoring effort to ensure efficient implementation of the solutions created Key Skills and Experience: PhD. or masters in statistics, data science or equivalent field or Degree with number of years of relevant experience Previous experience within data science Experience in insurance pricing and modelling Experience and detailed technical knowledge of GLMs /Elastic Nets, GBMs, GAMs, Random Forests, Neural Networks and clustering techniques Knowledge of statistics and distributions commonly used in insurance Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by technical excellence Driven to deliver iterative improvements in a timely fashion Team player Self-motivated with a drive to learn and develop Logical thinker with a professional and positive attitude
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of more than 40 million UK citizens. We are committed to user-centred design, agile delivery, and driving innovation in digital services that truly matter. Role Overview We are seeking an experienced Data Engineer to design, build, and maintain data products and a modern Strategic Data Platform. You will work within multi-functional Agile delivery teams, ensuring operational stability, ongoing support, and continuous enhancement of data solutions. This role is ideal for someone with strong Azure data engineering experience, excellent SQL and Python capability, and a passion for building scalable, reliable data platforms in complex environments. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure Synapse Manage the full data development life cycle within Agile delivery teams Integrate and automate workflows using Azure DevOps pipelines Develop dimension data models and semantic models to support Power BI analytics Create advanced dashboards, visualisations, and reporting solutions in Power BI Implement robust data governance, profiling, and quality checks to ensure accuracy and compliance Lead the migration of Legacy data systems to modern Azure-based platforms Apply dbt (with SQL databases) for data transformation, modelling, and workflow optimisation Collaborate with business stakeholders to translate requirements into scalable technical solutions Coach and mentor team members to strengthen data engineering best practices Essential Skills & Experience Active SC Clearance (must be valid at time of application) Proven expertise with: Azure Data Factory & Azure Synapse Microsoft Azure & Azure DevOps Power BI (including semantic modelling) Python (including PySpark) and advanced SQL dbt for SQL-based data transformation and modelling Dimension data modelling Terraform (Infrastructure as Code) Experience working with structured and unstructured data Strong background in Agile delivery environments Ability to translate business needs into effective technical solutions Proven experience delivering Legacy migration projects within complex organisations Excellent communication and stakeholder engagement skills Desirable Azure certifications (Data Engineer, Data Scientist, or related) Knowledge of GDPR, data security, and governance best practices Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements . As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout the recruitment process and employment to ensure equal opportunity for all.
Jun 30, 2026
Contractor
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of more than 40 million UK citizens. We are committed to user-centred design, agile delivery, and driving innovation in digital services that truly matter. Role Overview We are seeking an experienced Data Engineer to design, build, and maintain data products and a modern Strategic Data Platform. You will work within multi-functional Agile delivery teams, ensuring operational stability, ongoing support, and continuous enhancement of data solutions. This role is ideal for someone with strong Azure data engineering experience, excellent SQL and Python capability, and a passion for building scalable, reliable data platforms in complex environments. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure Synapse Manage the full data development life cycle within Agile delivery teams Integrate and automate workflows using Azure DevOps pipelines Develop dimension data models and semantic models to support Power BI analytics Create advanced dashboards, visualisations, and reporting solutions in Power BI Implement robust data governance, profiling, and quality checks to ensure accuracy and compliance Lead the migration of Legacy data systems to modern Azure-based platforms Apply dbt (with SQL databases) for data transformation, modelling, and workflow optimisation Collaborate with business stakeholders to translate requirements into scalable technical solutions Coach and mentor team members to strengthen data engineering best practices Essential Skills & Experience Active SC Clearance (must be valid at time of application) Proven expertise with: Azure Data Factory & Azure Synapse Microsoft Azure & Azure DevOps Power BI (including semantic modelling) Python (including PySpark) and advanced SQL dbt for SQL-based data transformation and modelling Dimension data modelling Terraform (Infrastructure as Code) Experience working with structured and unstructured data Strong background in Agile delivery environments Ability to translate business needs into effective technical solutions Proven experience delivering Legacy migration projects within complex organisations Excellent communication and stakeholder engagement skills Desirable Azure certifications (Data Engineer, Data Scientist, or related) Knowledge of GDPR, data security, and governance best practices Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements . As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout the recruitment process and employment to ensure equal opportunity for all.
Lead Data Scientist - Farnborough - Outside IR35 £550 - £650 P/Day - Hybrid A growing technology organisation operating within highly secure environments is looking to hire a Lead Data Scientist to lead Data Science processes and GenAI deployment across complex programmes. As a Lead Data Scientist, you'll play a key role in designing, developing, and deploying advanced AI systems, with a particular click apply for full job details
Jun 30, 2026
Contractor
Lead Data Scientist - Farnborough - Outside IR35 £550 - £650 P/Day - Hybrid A growing technology organisation operating within highly secure environments is looking to hire a Lead Data Scientist to lead Data Science processes and GenAI deployment across complex programmes. As a Lead Data Scientist, you'll play a key role in designing, developing, and deploying advanced AI systems, with a particular click apply for full job details
Lead Data Scientist - Credit Modelling & Data Products My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. As Lead Data Scientist, you will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. Strong understanding of data pipelines, data quality, and analytics engineering principles. Credit Modelling & Predictive Analytics Proven experience conducting rigorous exploratory data analysis and feature engineering. Experience building predictive models in regulated financial services environments, ideally within: Retail banking Commercial banking Asset securitisation Credit management Expertise developing and deploying credit risk models, including: Probability of Default (PD) models Scorecards Risk segmentation models Experience evaluating and implementing challenger models such as XGBoost while balancing explainability and regulatory requirements. Strong understanding of model performance metrics including AUC, Gini, KS, calibration, and business impact measurement. Experience deploying production-ready models with monitoring, retraining triggers, and controls against issues such as target leakage. Governance & Regulatory Knowledge Experience operating within model risk governance frameworks, including documentation, validation, and audit requirements. Strong understanding of GDPR and automated decision-making considerations. Awareness of emerging AI regulations, including the EU AI Act and related governance requirements. Knowledge of security-by-design principles when working with sensitive financial and personal data. Why Join Us? Opportunity to shape and build a new data products capability from the ground up. Direct exposure to senior leadership and strategic decision-making. Work on complex, high-value datasets and industry-leading predictive analytics challenges. Join a collaborative environment that values innovation, ownership, and impact. Competitive salary and benefits package with flexible hybrid working. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Jun 30, 2026
Full time
Lead Data Scientist - Credit Modelling & Data Products My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. As Lead Data Scientist, you will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. Strong understanding of data pipelines, data quality, and analytics engineering principles. Credit Modelling & Predictive Analytics Proven experience conducting rigorous exploratory data analysis and feature engineering. Experience building predictive models in regulated financial services environments, ideally within: Retail banking Commercial banking Asset securitisation Credit management Expertise developing and deploying credit risk models, including: Probability of Default (PD) models Scorecards Risk segmentation models Experience evaluating and implementing challenger models such as XGBoost while balancing explainability and regulatory requirements. Strong understanding of model performance metrics including AUC, Gini, KS, calibration, and business impact measurement. Experience deploying production-ready models with monitoring, retraining triggers, and controls against issues such as target leakage. Governance & Regulatory Knowledge Experience operating within model risk governance frameworks, including documentation, validation, and audit requirements. Strong understanding of GDPR and automated decision-making considerations. Awareness of emerging AI regulations, including the EU AI Act and related governance requirements. Knowledge of security-by-design principles when working with sensitive financial and personal data. Why Join Us? Opportunity to shape and build a new data products capability from the ground up. Direct exposure to senior leadership and strategic decision-making. Work on complex, high-value datasets and industry-leading predictive analytics challenges. Join a collaborative environment that values innovation, ownership, and impact. Competitive salary and benefits package with flexible hybrid working. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
Jun 30, 2026
Full time
Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning
Lead Data Engineer Location: London, City (Hybrid) £ Highly competitive base with bonus and benefits Lead Data Engineer is sought by expanding central data platform team within a prestigious global wealth management organisation. This role offers the opportunity to help shape enterprise-wide data engineering standards, contribute to platform strategy, and build modern, scalable data solutions that support business-critical decision-making. Essential to this role are strong python skills, expertise in MS Fabric, SQL, data warehousing, Data Lake and Azure technologies. The Role As the Lead Data Engineer, you will be responsible for designing, developing, and maintaining modern data solutions using Microsoft Fabric and Azure technologies. You will contribute to the development of engineering standards, optimise platform performance, and support the adoption of secure, scalable, and observable data architectures. Working closely with stakeholders, product owners, analysts, data scientists, and platform specialists, you will play a key role in delivering high-quality data products and promoting best practices across federated data teams. Key Responsibilities Define and implement data engineering standards, frameworks, and best practices. Design, build, and maintain secure, scalable, and observable data pipelines. Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures. Implement and manage Medallion Architecture patterns for data ingestion and transformation. Ensure data quality, completeness, integrity, and governance across the platform. Optimise data processing workflows, pipelines, and storage solutions for performance and cost efficiency. Collaborate with Data Scientists, Analysts, Product Owners, and business stakeholders to deliver high-value data products. Support CI/CD implementation and engineering automation practices. Contribute to platform roadmap planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud-based environments. Proven expertise with Microsoft Fabric and modern data platform technologies. Advanced Python and SQL development skills. Experience building and optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise reporting solutions. Experience implementing data governance, security, and quality frameworks. Strong understanding of modern data engineering practices, including observability and monitoring. Experience working with CI/CD pipelines and DevOps practices. Ability to engage effectively with both technical and non-technical stakeholders. What We're Looking For The successful candidate will be a proactive and commercially minded data engineering leader who combines strong technical capability with excellent communication skills. You will have experience delivering complex data platform initiatives, influencing stakeholders at all levels, and helping organisations realise the value of modern data technologies. If you are passionate about building scalable data platforms, driving engineering excellence, and shaping the future of enterprise data capabilities, we would love to hear from you.
Jun 30, 2026
Full time
Lead Data Engineer Location: London, City (Hybrid) £ Highly competitive base with bonus and benefits Lead Data Engineer is sought by expanding central data platform team within a prestigious global wealth management organisation. This role offers the opportunity to help shape enterprise-wide data engineering standards, contribute to platform strategy, and build modern, scalable data solutions that support business-critical decision-making. Essential to this role are strong python skills, expertise in MS Fabric, SQL, data warehousing, Data Lake and Azure technologies. The Role As the Lead Data Engineer, you will be responsible for designing, developing, and maintaining modern data solutions using Microsoft Fabric and Azure technologies. You will contribute to the development of engineering standards, optimise platform performance, and support the adoption of secure, scalable, and observable data architectures. Working closely with stakeholders, product owners, analysts, data scientists, and platform specialists, you will play a key role in delivering high-quality data products and promoting best practices across federated data teams. Key Responsibilities Define and implement data engineering standards, frameworks, and best practices. Design, build, and maintain secure, scalable, and observable data pipelines. Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures. Implement and manage Medallion Architecture patterns for data ingestion and transformation. Ensure data quality, completeness, integrity, and governance across the platform. Optimise data processing workflows, pipelines, and storage solutions for performance and cost efficiency. Collaborate with Data Scientists, Analysts, Product Owners, and business stakeholders to deliver high-value data products. Support CI/CD implementation and engineering automation practices. Contribute to platform roadmap planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud-based environments. Proven expertise with Microsoft Fabric and modern data platform technologies. Advanced Python and SQL development skills. Experience building and optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise reporting solutions. Experience implementing data governance, security, and quality frameworks. Strong understanding of modern data engineering practices, including observability and monitoring. Experience working with CI/CD pipelines and DevOps practices. Ability to engage effectively with both technical and non-technical stakeholders. What We're Looking For The successful candidate will be a proactive and commercially minded data engineering leader who combines strong technical capability with excellent communication skills. You will have experience delivering complex data platform initiatives, influencing stakeholders at all levels, and helping organisations realise the value of modern data technologies. If you are passionate about building scalable data platforms, driving engineering excellence, and shaping the future of enterprise data capabilities, we would love to hear from you.
Data Scientist Knowsley - 3 days a week The Company They are a well established UK retail business undergoing a broader data and AI transformation. The organisation is investing in building a modern Data Science capability to support decision making across commercial and customer functions. Their culture is practical, collaborative and delivery focused, with an emphasis on creating value quickly rather than over engineering solutions. Data is increasingly central to their strategy, particularly with the launch of a new customer loyalty programme. The Role You will work closely with the Data Science Lead and a small but growing team to develop and productionise machine learning solutions. Build and deploy models that support customer and commercial decision making Work on use cases such as customer segmentation, lifetime value modelling and demand forecasting Contribute to the development of a scalable Data Science platform Collaborate with data engineers, analysts and business stakeholders Translate business problems into data science solutions and clearly communicate outputs Support the expansion of existing models into broader production use Your Skills and Experience Strong commercial experience in Data Science using Python Solid SQL skills and experience working with large datasets End to end experience delivering Data Science solutions from problem definition through to deployment Experience building and validating machine learning models Ability to communicate insights clearly to non technical audiences A practical, business focused approach to problem solving What They Offer Hybrid working with three days per week in Knowsley Opportunity to shape and influence a growing Data Science function Exposure to end to end project work with real business impact A collaborative environment focused on learning and delivery How to Apply Apply now to learn more about this Data Scientist opportunity and the impact you can make within a growing data driven environment.
Jun 30, 2026
Full time
Data Scientist Knowsley - 3 days a week The Company They are a well established UK retail business undergoing a broader data and AI transformation. The organisation is investing in building a modern Data Science capability to support decision making across commercial and customer functions. Their culture is practical, collaborative and delivery focused, with an emphasis on creating value quickly rather than over engineering solutions. Data is increasingly central to their strategy, particularly with the launch of a new customer loyalty programme. The Role You will work closely with the Data Science Lead and a small but growing team to develop and productionise machine learning solutions. Build and deploy models that support customer and commercial decision making Work on use cases such as customer segmentation, lifetime value modelling and demand forecasting Contribute to the development of a scalable Data Science platform Collaborate with data engineers, analysts and business stakeholders Translate business problems into data science solutions and clearly communicate outputs Support the expansion of existing models into broader production use Your Skills and Experience Strong commercial experience in Data Science using Python Solid SQL skills and experience working with large datasets End to end experience delivering Data Science solutions from problem definition through to deployment Experience building and validating machine learning models Ability to communicate insights clearly to non technical audiences A practical, business focused approach to problem solving What They Offer Hybrid working with three days per week in Knowsley Opportunity to shape and influence a growing Data Science function Exposure to end to end project work with real business impact A collaborative environment focused on learning and delivery How to Apply Apply now to learn more about this Data Scientist opportunity and the impact you can make within a growing data driven environment.
Join a leading global insurer undergoing a major data and analytics transformation. This is an opportunity to play a pivotal role in modernising data science capabilities, influencing strategic business decisions, and delivering high-impact analytical solutions across a large-scale enterprise environment. Data Science Lead Upto £1,000/day PAYE Initial 6-Month Contract Join a leading global insurer undergoing a major data and analytics transformation. This is an opportunity to play a pivotal role in modernising data science capabilities, influencing strategic business decisions, and delivering high-impact analytical solutions across a large-scale enterprise environment. The Role We're looking for a Data Science Lead to drive the development and deployment of advanced analytics and predictive models that support business growth, pricing, fraud detection, customer retention, and operational efficiency. You'll work closely with senior stakeholders, analytics teams, and offshore delivery partners to identify opportunities, shape data science strategy, and ensure the successful delivery of business-critical initiatives. Key Responsibilities Lead the design, development, and deployment of advanced analytical and machine learning models. Partner with business and technology stakeholders to translate complex challenges into data-driven solutions. Drive the modernisation of data science practices, tools, and methodologies. Oversee model performance, governance, documentation, and regulatory compliance. Manage and mentor data scientists while collaborating with offshore analytics teams. Present insights and recommendations to senior business audiences. Essential Experience Proven experience leading data science projects in large, complex organisations. Strong Python and/or HX modelling experience. Track record of delivering models that drive measurable commercial outcomes. Expertise in predictive modelling, machine learning, and statistical analysis. Experience working with large-scale structured and unstructured datasets. Strong stakeholder management and communication skills. Desirable Insurance or financial services experience, ideally within pricing, underwriting, fraud, or claims. Experience with Spark, Hadoop, NoSQL, or modern big data platforms. Agile delivery experience and collaborative software development practices. Experience leading analytics teams and driving organisational change. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Jun 30, 2026
Seasonal
Join a leading global insurer undergoing a major data and analytics transformation. This is an opportunity to play a pivotal role in modernising data science capabilities, influencing strategic business decisions, and delivering high-impact analytical solutions across a large-scale enterprise environment. Data Science Lead Upto £1,000/day PAYE Initial 6-Month Contract Join a leading global insurer undergoing a major data and analytics transformation. This is an opportunity to play a pivotal role in modernising data science capabilities, influencing strategic business decisions, and delivering high-impact analytical solutions across a large-scale enterprise environment. The Role We're looking for a Data Science Lead to drive the development and deployment of advanced analytics and predictive models that support business growth, pricing, fraud detection, customer retention, and operational efficiency. You'll work closely with senior stakeholders, analytics teams, and offshore delivery partners to identify opportunities, shape data science strategy, and ensure the successful delivery of business-critical initiatives. Key Responsibilities Lead the design, development, and deployment of advanced analytical and machine learning models. Partner with business and technology stakeholders to translate complex challenges into data-driven solutions. Drive the modernisation of data science practices, tools, and methodologies. Oversee model performance, governance, documentation, and regulatory compliance. Manage and mentor data scientists while collaborating with offshore analytics teams. Present insights and recommendations to senior business audiences. Essential Experience Proven experience leading data science projects in large, complex organisations. Strong Python and/or HX modelling experience. Track record of delivering models that drive measurable commercial outcomes. Expertise in predictive modelling, machine learning, and statistical analysis. Experience working with large-scale structured and unstructured datasets. Strong stakeholder management and communication skills. Desirable Insurance or financial services experience, ideally within pricing, underwriting, fraud, or claims. Experience with Spark, Hadoop, NoSQL, or modern big data platforms. Agile delivery experience and collaborative software development practices. Experience leading analytics teams and driving organisational change. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Data Science Technical Project Lead Utilities Hybrid: 1-2 days per week in Warwick 6 months+ Contract day rate In short: We're seeking a technically competent Data Science Project Lead to oversee the work of 2-3 Data Science teams while also being able to add technical input when necessary. This role requires someone who has lived within the Data Science world and would not suit a generalist IT Project Lead / PM . In full: As a Data Science Technical Project Lead, you lead the delivery of multiple simultaneous projects from beginning to end. You will work in a dynamic organisation to turn data into actionable intelligence. The variety and complexity of challenges you will solve is second to none, but most important is the real world impact your work will have on the lives of millions of people. About the Position: The Data Science teams provide insights and conclusions from multiple sources of information in a variety of different formats using analysis techniques that range from the simple to the advanced. An ability to work cross-functionally and on agile teams is critical. In addition to broad technical knowledge, you need to have exemplary expertise in project management, change management, and stakeholder management. You should have a strong knowledge of: Project management and change management frameworks Effective visualisation and presentation Statistical & probabilistic analyses Machine learning methodologies, including GenAI Programming/software development Position responsibilities (including but not limited to): Fully own and lead the delivery of 2-3 data science projects concurrently Define the project's direction, scope, timelines, and deliverables in close collaboration with business stakeholders Ensure that the insights delivered are actionable Collaborate and liaise with technical and non-technical teams across all of the business and, occasionally, externally Staff project pods with a combination of internal data scientists and external contractors/consultants When projects require - be able to contribute hands to the keyboard (Python) Be intellectually curious and enjoy learning Requirements: Exceptional project management, change management, and stakeholder management skills Fluency in AI/ML tools and techniques, including GenAI/Agentic AI Experience with cloud computing (Azure is a plus) Master's degree in a quantitative discipline, exceptional candidates considered with Bachelor's degree or Master's degree in progress Preferred skills: Energy or utility experience Active github repository and stackoverflow account Data Science competition entries (kaggle, kdnuggets, etc.) GIS knowledge (ArcGIS is a plus) Interactive visualisation tools (PowerBI is a plus) Knowledge of Agile frameworks Candidates will ideally show evidence of the above in their CV in order to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunities employer. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Jun 30, 2026
Contractor
Data Science Technical Project Lead Utilities Hybrid: 1-2 days per week in Warwick 6 months+ Contract day rate In short: We're seeking a technically competent Data Science Project Lead to oversee the work of 2-3 Data Science teams while also being able to add technical input when necessary. This role requires someone who has lived within the Data Science world and would not suit a generalist IT Project Lead / PM . In full: As a Data Science Technical Project Lead, you lead the delivery of multiple simultaneous projects from beginning to end. You will work in a dynamic organisation to turn data into actionable intelligence. The variety and complexity of challenges you will solve is second to none, but most important is the real world impact your work will have on the lives of millions of people. About the Position: The Data Science teams provide insights and conclusions from multiple sources of information in a variety of different formats using analysis techniques that range from the simple to the advanced. An ability to work cross-functionally and on agile teams is critical. In addition to broad technical knowledge, you need to have exemplary expertise in project management, change management, and stakeholder management. You should have a strong knowledge of: Project management and change management frameworks Effective visualisation and presentation Statistical & probabilistic analyses Machine learning methodologies, including GenAI Programming/software development Position responsibilities (including but not limited to): Fully own and lead the delivery of 2-3 data science projects concurrently Define the project's direction, scope, timelines, and deliverables in close collaboration with business stakeholders Ensure that the insights delivered are actionable Collaborate and liaise with technical and non-technical teams across all of the business and, occasionally, externally Staff project pods with a combination of internal data scientists and external contractors/consultants When projects require - be able to contribute hands to the keyboard (Python) Be intellectually curious and enjoy learning Requirements: Exceptional project management, change management, and stakeholder management skills Fluency in AI/ML tools and techniques, including GenAI/Agentic AI Experience with cloud computing (Azure is a plus) Master's degree in a quantitative discipline, exceptional candidates considered with Bachelor's degree or Master's degree in progress Preferred skills: Energy or utility experience Active github repository and stackoverflow account Data Science competition entries (kaggle, kdnuggets, etc.) GIS knowledge (ArcGIS is a plus) Interactive visualisation tools (PowerBI is a plus) Knowledge of Agile frameworks Candidates will ideally show evidence of the above in their CV in order to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunities employer. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
Jun 30, 2026
Full time
Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
Lead Data Scientist Cardiff / Remote AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data Scientist to step into a high-impact leadership role, helping to build and shape a growing Data Science function while remaining hands-on with cutting-edge AI and machine learning initiatives. You'll work closely with senior leadership to define the technical direction of Data Science, influence product innovation and lead the development of production-grade machine learning solutions that deliver measurable business value. Why this role stands out: Lead and grow a newly expanding Data Science capability Shape the future AI strategy within a business heavily investing in machine learning and generative AI Drive innovation across predictive analytics, NLP and LLM-powered products Enjoy genuine influence over technical direction, tooling and best practice Work on highly visible projects with direct commercial impact Remote-first environment with strong backing from leadership What you'll be doing: Leading technical decision making across the Data Science function Designing, building and deploying machine learning models into production Driving NLP, Generative AI and LLM initiatives Partnering with Engineering, Product and Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python SQL TensorFlow PyTorch AWS Azure SageMaker NLP LLMs MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. It's a chance to join at a pivotal stage of growth and play a key role in building the next generation of AI capability within a global technology business. If you're excited by the prospect of leading a team, influencing AI strategy and working on innovative machine learning and LLM projects that make a real difference, we'd love to hear from you.
Jun 30, 2026
Full time
Lead Data Scientist Cardiff / Remote AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data Scientist to step into a high-impact leadership role, helping to build and shape a growing Data Science function while remaining hands-on with cutting-edge AI and machine learning initiatives. You'll work closely with senior leadership to define the technical direction of Data Science, influence product innovation and lead the development of production-grade machine learning solutions that deliver measurable business value. Why this role stands out: Lead and grow a newly expanding Data Science capability Shape the future AI strategy within a business heavily investing in machine learning and generative AI Drive innovation across predictive analytics, NLP and LLM-powered products Enjoy genuine influence over technical direction, tooling and best practice Work on highly visible projects with direct commercial impact Remote-first environment with strong backing from leadership What you'll be doing: Leading technical decision making across the Data Science function Designing, building and deploying machine learning models into production Driving NLP, Generative AI and LLM initiatives Partnering with Engineering, Product and Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python SQL TensorFlow PyTorch AWS Azure SageMaker NLP LLMs MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. It's a chance to join at a pivotal stage of growth and play a key role in building the next generation of AI capability within a global technology business. If you're excited by the prospect of leading a team, influencing AI strategy and working on innovative machine learning and LLM projects that make a real difference, we'd love to hear from you.
Your new company A leading engineering and environmental consultancy is seeking an experienced Flood Risk Consultant to join their growing Water Management team. This organisation works across a diverse portfolio of sectors including Aviation, Defence, Energy, Cities & Development, Education, Rail, and Water, delivering innovative and sustainable solutions to complex challenges.With a strong focus on collaboration, flexibility, and professional development, the company offers a supportive and inclusive environment where employees are empowered to progress their careers. Your new role As a Senior or Principal Flood Risk Consultant, you will play a key role in delivering high-quality flood risk projects while leading and mentoring junior team members. Working closely with multidisciplinary teams and clients across the UK, you will take ownership of technical delivery and contribute to project success. Key responsibilities include: Leading flood risk assessments and hydraulic modelling projects Undertaking data analysis, hydrology, GIS and technical reporting Managing and mentoring junior staff and reviewing their work Developing and testing flood mitigation solutions Supporting project management activities, including programme and financial control Collaborating with environmental scientists, engineers, and planners Supporting business development, including tendering and client engagement What you'll need to succeed To be successful in this role, you will bring strong technical expertise alongside leadership capability and a collaborative mindset. You will demonstrate: Proven experience delivering flood risk management projects Strong hydraulic modelling experience (1D-2D modelling such as Infoworks ICM, Flood Modeller, TUFLOW/ESTRY) Experience with GIS tools (ArcGIS, QGIS, or MapInfo) Knowledge of UK hydrology, including FEH methods (desirable) Ability to lead technical work and mentor junior colleagues Strong project delivery experience, meeting client requirements Excellent communication and stakeholder engagement skills Ability to manage multiple projects and workloads effectively A proactive, motivated and detail-oriented approach What you'll get in return In return, you will receive: Competitive salary and comprehensive benefits packageFlexible and hybrid working arrangementsOpportunities for career progression and technical developmentAccess to training and professional development programmesSupportive, inclusive and collaborative working cultureThe opportunity to work on high-profile projects across multiple sectors What you need to do now If you're interested in this Principal Flood Risk Management Consultant role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Jun 30, 2026
Full time
Your new company A leading engineering and environmental consultancy is seeking an experienced Flood Risk Consultant to join their growing Water Management team. This organisation works across a diverse portfolio of sectors including Aviation, Defence, Energy, Cities & Development, Education, Rail, and Water, delivering innovative and sustainable solutions to complex challenges.With a strong focus on collaboration, flexibility, and professional development, the company offers a supportive and inclusive environment where employees are empowered to progress their careers. Your new role As a Senior or Principal Flood Risk Consultant, you will play a key role in delivering high-quality flood risk projects while leading and mentoring junior team members. Working closely with multidisciplinary teams and clients across the UK, you will take ownership of technical delivery and contribute to project success. Key responsibilities include: Leading flood risk assessments and hydraulic modelling projects Undertaking data analysis, hydrology, GIS and technical reporting Managing and mentoring junior staff and reviewing their work Developing and testing flood mitigation solutions Supporting project management activities, including programme and financial control Collaborating with environmental scientists, engineers, and planners Supporting business development, including tendering and client engagement What you'll need to succeed To be successful in this role, you will bring strong technical expertise alongside leadership capability and a collaborative mindset. You will demonstrate: Proven experience delivering flood risk management projects Strong hydraulic modelling experience (1D-2D modelling such as Infoworks ICM, Flood Modeller, TUFLOW/ESTRY) Experience with GIS tools (ArcGIS, QGIS, or MapInfo) Knowledge of UK hydrology, including FEH methods (desirable) Ability to lead technical work and mentor junior colleagues Strong project delivery experience, meeting client requirements Excellent communication and stakeholder engagement skills Ability to manage multiple projects and workloads effectively A proactive, motivated and detail-oriented approach What you'll get in return In return, you will receive: Competitive salary and comprehensive benefits packageFlexible and hybrid working arrangementsOpportunities for career progression and technical developmentAccess to training and professional development programmesSupportive, inclusive and collaborative working cultureThe opportunity to work on high-profile projects across multiple sectors What you need to do now If you're interested in this Principal Flood Risk Management Consultant role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Account Manager - Pharma Client (Randstad) Employer: Randstad (Based permanently on-site with our client) Location: Ideally based near Witney, Abingdon, or Maidenhead Travel: Full UK Account Network (Includes occasional travel to Dundee, Sittingbourne, and London) Hours: Monday - Friday, 08:30 - 17:30 (with a bit of flexibility) Flexibility: 4 days on-site, 1 day working from home Perks: Company car or car allowance provided The Reality of the Role Let's be honest from the start: this isn't a hands-off, sit-at-home account management job. We are looking for someone who loves being visible, building real relationships, and driving operational excellence from the ground up. In this role, you will be a permanent Randstad employee, but you'll be based directly on-site with our client , managing a dedicated white-collar workforce solution for a major Pharma business . Their footprint is vast-you could be walking the floor of a bustling warehouse one day and presenting data to research scientists the next. Because presence and partnership are everything here, you'll be embedded on-site 4 days a week, keeping your finger on the pulse of the account. While you'll ideally live within an hour of our main client hubs ( Witney, Abingdon, or Maidenhead ) to keep your daily commute manageable, you will need a full UK driver's license. Our client's network spans from Kent up to Dundee, so you must be ready to hit the road when the business needs you. What You'll Be Doing You will lead an on-site team of 3 Randstad professionals, acting as the critical bridge between the client, your team, and Randstad's backend supporting functions (Compliance, Payroll, Billing, and Recruitment Delivery). Relationship & Vacancy Management: You'll partner closely with the client's hiring managers to maximize vacancy capture, managing and tracking up to 70 open white-collar requisitions at any given time alongside our delivery team. When bottlenecks happen, you'll be the one to step in, smooth things over, and find solutions. Data & Tech: You will live and breathe VMS data (ideally B-Line ). You will conduct monthly compliance audits, oversee invoicing, resolve queries, and track actions rigorously. Strategic Growth: You won't just execute; you'll improve. You'll analyze account data, build compelling presentations, and deliver strategic reviews that align Randstad's commercial priorities with the client's vision. What We Need From You We need a proactive problem-solver who can handle the fast-paced nature of a major pharmaceutical account without losing an eye for detail. Recruitment Account Management: You have a proven track record managing large-scale, outsourced white-collar recruitment solutions (onsite or managed service provider experience is ideal). VMS Expertise: Heavy experience navigating VMS systems (B-Line experience is a massive plus). Data Literacy: You can look at a spreadsheet, spot the narrative, and turn it into a polished presentation for senior stakeholders. Leadership & Escalation Skills: You know how to motivate a small team and confidently manage tough conversations with client stakeholders or internal HR when issues arise. Strong Communication: You can seamlessly shift your style whether you are speaking with a warehouse manager, a lab researcher, or a corporate executive. Ready to apply? If you want the backing, progression, and benefits of working for a global leader like Randstad , combined with the fast-paced autonomy of managing a major client account directly on-site, we want to hear from you. Apply today. Inclusivity Statement: We are an inclusive employer. Should you require any reasonable adjustments in order to complete any aspect of the recruitment process, please reach out to our Internal Talent Acquisition team, and we will be happy to support you. Randstad is committed to equal opportunities for all and will not discriminate based on an individual's sex, race, disability, gender reassignment, pregnancy and maternity, marriage and civil partnership, religion or belief, sexual orientation or age. We are an inclusive employer and should you require any reasonable adjustments in order to complete any aspect of the recruitment process, please contact us on (url removed)
Jun 30, 2026
Full time
Account Manager - Pharma Client (Randstad) Employer: Randstad (Based permanently on-site with our client) Location: Ideally based near Witney, Abingdon, or Maidenhead Travel: Full UK Account Network (Includes occasional travel to Dundee, Sittingbourne, and London) Hours: Monday - Friday, 08:30 - 17:30 (with a bit of flexibility) Flexibility: 4 days on-site, 1 day working from home Perks: Company car or car allowance provided The Reality of the Role Let's be honest from the start: this isn't a hands-off, sit-at-home account management job. We are looking for someone who loves being visible, building real relationships, and driving operational excellence from the ground up. In this role, you will be a permanent Randstad employee, but you'll be based directly on-site with our client , managing a dedicated white-collar workforce solution for a major Pharma business . Their footprint is vast-you could be walking the floor of a bustling warehouse one day and presenting data to research scientists the next. Because presence and partnership are everything here, you'll be embedded on-site 4 days a week, keeping your finger on the pulse of the account. While you'll ideally live within an hour of our main client hubs ( Witney, Abingdon, or Maidenhead ) to keep your daily commute manageable, you will need a full UK driver's license. Our client's network spans from Kent up to Dundee, so you must be ready to hit the road when the business needs you. What You'll Be Doing You will lead an on-site team of 3 Randstad professionals, acting as the critical bridge between the client, your team, and Randstad's backend supporting functions (Compliance, Payroll, Billing, and Recruitment Delivery). Relationship & Vacancy Management: You'll partner closely with the client's hiring managers to maximize vacancy capture, managing and tracking up to 70 open white-collar requisitions at any given time alongside our delivery team. When bottlenecks happen, you'll be the one to step in, smooth things over, and find solutions. Data & Tech: You will live and breathe VMS data (ideally B-Line ). You will conduct monthly compliance audits, oversee invoicing, resolve queries, and track actions rigorously. Strategic Growth: You won't just execute; you'll improve. You'll analyze account data, build compelling presentations, and deliver strategic reviews that align Randstad's commercial priorities with the client's vision. What We Need From You We need a proactive problem-solver who can handle the fast-paced nature of a major pharmaceutical account without losing an eye for detail. Recruitment Account Management: You have a proven track record managing large-scale, outsourced white-collar recruitment solutions (onsite or managed service provider experience is ideal). VMS Expertise: Heavy experience navigating VMS systems (B-Line experience is a massive plus). Data Literacy: You can look at a spreadsheet, spot the narrative, and turn it into a polished presentation for senior stakeholders. Leadership & Escalation Skills: You know how to motivate a small team and confidently manage tough conversations with client stakeholders or internal HR when issues arise. Strong Communication: You can seamlessly shift your style whether you are speaking with a warehouse manager, a lab researcher, or a corporate executive. Ready to apply? If you want the backing, progression, and benefits of working for a global leader like Randstad , combined with the fast-paced autonomy of managing a major client account directly on-site, we want to hear from you. Apply today. Inclusivity Statement: We are an inclusive employer. Should you require any reasonable adjustments in order to complete any aspect of the recruitment process, please reach out to our Internal Talent Acquisition team, and we will be happy to support you. Randstad is committed to equal opportunities for all and will not discriminate based on an individual's sex, race, disability, gender reassignment, pregnancy and maternity, marriage and civil partnership, religion or belief, sexual orientation or age. We are an inclusive employer and should you require any reasonable adjustments in order to complete any aspect of the recruitment process, please contact us on (url removed)
Data Science Manager London, Hybrid (2-3 days per week) 100,000 - 110,000 This is a Data Science Manager role within a global insurance business, sitting in a growing Strategic Analytics team focused on using predictive modelling and advanced analytics to drive better business decisions. The role is focused on identifying opportunities where data can improve performance, working closely with senior stakeholders to understand business challenges and developing analytics-led solutions that deliver real value. You'll oversee the development of predictive models and machine learning solutions, whilst providing leadership and support to a team of Data Scientists and acting as a key link between the business and analytics functions. It's a hands-on leadership role where you'll be expected to combine strong technical knowledge with stakeholder engagement, mentoring and project delivery. They're looking for somebody with experience across Data Science, Predictive Modelling and Advanced Analytics, ideally within Insurance, London Market or Claims environments, although broader Financial Services experience will also be considered.
Jun 30, 2026
Full time
Data Science Manager London, Hybrid (2-3 days per week) 100,000 - 110,000 This is a Data Science Manager role within a global insurance business, sitting in a growing Strategic Analytics team focused on using predictive modelling and advanced analytics to drive better business decisions. The role is focused on identifying opportunities where data can improve performance, working closely with senior stakeholders to understand business challenges and developing analytics-led solutions that deliver real value. You'll oversee the development of predictive models and machine learning solutions, whilst providing leadership and support to a team of Data Scientists and acting as a key link between the business and analytics functions. It's a hands-on leadership role where you'll be expected to combine strong technical knowledge with stakeholder engagement, mentoring and project delivery. They're looking for somebody with experience across Data Science, Predictive Modelling and Advanced Analytics, ideally within Insurance, London Market or Claims environments, although broader Financial Services experience will also be considered.
Data Scientist - London This is an exciting opportunity for a Data Science professional to join a leading Analytics department within the Financial Services industry. Based in London, you will play a key role in driving data-driven decision-making and developing innovative solutions. Client Details Data Scientist - London The company is a well-established organisation within the Financial Services sector, known for its robust expertise in analytics and data-driven insights. As a large organisation, it offers a structured and professional environment with opportunities to work on impactful projects. Description Data Scientist - London Build and deploy machine learning models used in real-world applications Work with both structured data and text (NLP) to generate insights Design and maintain data pipelines and production-ready systems Apply statistical methods to evaluate models and ensure reliability Collaborate with domain experts to solve complex analytical problems Communicate findings clearly to both technical and non-technical stakeholders Profile Data Scientist - London A successful Data Science professional should have: Hands-on and practical experience building models, and making them usable. Ability to think quantitatively and statistically, not just in terms of tools. Comfortable working across data, models, and production systems. Ability to clearly explain your work and translate complex ideas into simple insights. Strong Python skills, with the ability to write clean, production-quality code Solid grounding in statistics (not just surface-level understanding) Experience with machine learning, including classical models and some modern NLP approaches Experience building models that are actually used in production Comfortable working with real-world, messy datasets. Familiarity with data pipelines, deployment, and maintaining ML systems Experience with NLP / text modelling (e.g. classification, embeddings, transformers) Exposure to finance, economics, or risk-related data. Job Offer Data Scientist - London Competitive salary ranging from 75,000 to 90,000 per year + Company benefits. Standard benefits package to support your professional and personal growth. Permanent role offering stability and career progression opportunities. An opportunity to work in the heart of London within the Financial Services industry. Be part of a well-established organisation with a focus on analytics and innovation. If you are a motivated Data Science professional looking to advance your career in London, we encourage you to apply for this exciting opportunity!
Jun 30, 2026
Full time
Data Scientist - London This is an exciting opportunity for a Data Science professional to join a leading Analytics department within the Financial Services industry. Based in London, you will play a key role in driving data-driven decision-making and developing innovative solutions. Client Details Data Scientist - London The company is a well-established organisation within the Financial Services sector, known for its robust expertise in analytics and data-driven insights. As a large organisation, it offers a structured and professional environment with opportunities to work on impactful projects. Description Data Scientist - London Build and deploy machine learning models used in real-world applications Work with both structured data and text (NLP) to generate insights Design and maintain data pipelines and production-ready systems Apply statistical methods to evaluate models and ensure reliability Collaborate with domain experts to solve complex analytical problems Communicate findings clearly to both technical and non-technical stakeholders Profile Data Scientist - London A successful Data Science professional should have: Hands-on and practical experience building models, and making them usable. Ability to think quantitatively and statistically, not just in terms of tools. Comfortable working across data, models, and production systems. Ability to clearly explain your work and translate complex ideas into simple insights. Strong Python skills, with the ability to write clean, production-quality code Solid grounding in statistics (not just surface-level understanding) Experience with machine learning, including classical models and some modern NLP approaches Experience building models that are actually used in production Comfortable working with real-world, messy datasets. Familiarity with data pipelines, deployment, and maintaining ML systems Experience with NLP / text modelling (e.g. classification, embeddings, transformers) Exposure to finance, economics, or risk-related data. Job Offer Data Scientist - London Competitive salary ranging from 75,000 to 90,000 per year + Company benefits. Standard benefits package to support your professional and personal growth. Permanent role offering stability and career progression opportunities. An opportunity to work in the heart of London within the Financial Services industry. Be part of a well-established organisation with a focus on analytics and innovation. If you are a motivated Data Science professional looking to advance your career in London, we encourage you to apply for this exciting opportunity!
Data Scientist Hybrid Herne Hill, South London Full-Time £54,000 £58,000 P.A. D.O.E. Want to work on the kind of data science problems most companies can t solve? An innovative, fast-growing data science business is looking for a Data Scientist to join its highly technical team. Founded as a spin-out from a world-leading university research group, this is a rare opportunity to apply Bayesian statistics, machine learning and scientific computing to genuinely complex, real-world challenges across sustainable industry, molecular discovery, optimisation and predictive modelling. This is not a generic machine learning role and it s not another business building around off-the-shelf AI. This organisation has built its reputation on proprietary Bayesian tools and deep scientific capability, using advanced sampling methods and modern AI technologies to tackle problems that standard approaches can t. If you enjoy difficult technical challenges, rigorous thinking and working at the intersection of research and commercial impact, this is a role worth exploring. The Data Scientist Opportunity As a Data Scientist, you ll work on advanced modelling and scientific computing projects that combine Bayesian inference, probabilistic modelling and machine learning with practical commercial applications. You ll contribute to both client-facing work and the development of the company s core technology, collaborating with a team that values curiosity, experimentation and technical depth. You ll also have the chance to take part in regular research workshops with academic collaborators, helping shape the future direction of the company s science while working on projects with real-world value. What You ll Be Doing Develop and deliver advanced data science, sampling and machine learning solutions Apply Bayesian inference and statistical modelling to complex scientific and industrial challenges Build robust, well-tested code and clear technical documentation Work with proprietary Bayesian data science tools, while using modern LLM and GPT-based tools to enhance and accelerate your workflow Explore new models, methods and technologies, applying them where they add genuine value Contribute to the development of the company s core scientific and technical capabilities Collaborate with clients, research partners and internal technical teams Take part in regular research workshops with leading academic collaborators What We re Looking For We re looking for a technically strong, intellectually curious Data Scientist who enjoys solving difficult problems and working in a research-driven environment. Essential: PhD in Physics, Astrophysics, Mathematics, Statistics, Computer Science or another highly quantitative discipline Strong knowledge of Bayesian statistics and probabilistic modelling Advanced Python programming skills Experience with Git and software development best practice Excellent analytical, mathematical and problem-solving skills Desirable: 1 2 years industry experience in a relevant data science, research or modelling role Experience in machine learning, optimisation or scientific computing Knowledge of Fortran, C or C++ Experience working with large, complex or high-dimensional datasets Why Join? This is an opportunity to do meaningful, intellectually challenging work in a company that combines serious scientific depth with real commercial application. You ll join a collaborative, highly technical team where new ideas are welcomed, curiosity is encouraged and your work can directly influence both client outcomes and the future direction of the business. Benefits £54,000 £58,000 per annum depending on qualifications and experience Hybrid and flexible working with a minimum of 1 day per week in the office 25 days annual leave, plus 8 UK bank holidays 5% employer pension contribution Confidential Employee Assistance Programme, including 24/7 virtual GP access for you and your household Cycle to Work scheme Access to an employee discounts platform with retail, technology and lifestyle savings The chance to work on cutting-edge research and commercial data science projects A collaborative, research-driven environment with genuine scope to grow What s Next? To be considered, please submit your CV along with a link to your GitHub profile, coding portfolio, publications or other examples of technical work. Candidates with experience as a Data Scientist, Machine Learning Engineer, Quantitative Analyst, Statistician, Computational Scientist, Research Scientist or in a similar advanced technical role are encouraged to apply.
Jun 29, 2026
Full time
Data Scientist Hybrid Herne Hill, South London Full-Time £54,000 £58,000 P.A. D.O.E. Want to work on the kind of data science problems most companies can t solve? An innovative, fast-growing data science business is looking for a Data Scientist to join its highly technical team. Founded as a spin-out from a world-leading university research group, this is a rare opportunity to apply Bayesian statistics, machine learning and scientific computing to genuinely complex, real-world challenges across sustainable industry, molecular discovery, optimisation and predictive modelling. This is not a generic machine learning role and it s not another business building around off-the-shelf AI. This organisation has built its reputation on proprietary Bayesian tools and deep scientific capability, using advanced sampling methods and modern AI technologies to tackle problems that standard approaches can t. If you enjoy difficult technical challenges, rigorous thinking and working at the intersection of research and commercial impact, this is a role worth exploring. The Data Scientist Opportunity As a Data Scientist, you ll work on advanced modelling and scientific computing projects that combine Bayesian inference, probabilistic modelling and machine learning with practical commercial applications. You ll contribute to both client-facing work and the development of the company s core technology, collaborating with a team that values curiosity, experimentation and technical depth. You ll also have the chance to take part in regular research workshops with academic collaborators, helping shape the future direction of the company s science while working on projects with real-world value. What You ll Be Doing Develop and deliver advanced data science, sampling and machine learning solutions Apply Bayesian inference and statistical modelling to complex scientific and industrial challenges Build robust, well-tested code and clear technical documentation Work with proprietary Bayesian data science tools, while using modern LLM and GPT-based tools to enhance and accelerate your workflow Explore new models, methods and technologies, applying them where they add genuine value Contribute to the development of the company s core scientific and technical capabilities Collaborate with clients, research partners and internal technical teams Take part in regular research workshops with leading academic collaborators What We re Looking For We re looking for a technically strong, intellectually curious Data Scientist who enjoys solving difficult problems and working in a research-driven environment. Essential: PhD in Physics, Astrophysics, Mathematics, Statistics, Computer Science or another highly quantitative discipline Strong knowledge of Bayesian statistics and probabilistic modelling Advanced Python programming skills Experience with Git and software development best practice Excellent analytical, mathematical and problem-solving skills Desirable: 1 2 years industry experience in a relevant data science, research or modelling role Experience in machine learning, optimisation or scientific computing Knowledge of Fortran, C or C++ Experience working with large, complex or high-dimensional datasets Why Join? This is an opportunity to do meaningful, intellectually challenging work in a company that combines serious scientific depth with real commercial application. You ll join a collaborative, highly technical team where new ideas are welcomed, curiosity is encouraged and your work can directly influence both client outcomes and the future direction of the business. Benefits £54,000 £58,000 per annum depending on qualifications and experience Hybrid and flexible working with a minimum of 1 day per week in the office 25 days annual leave, plus 8 UK bank holidays 5% employer pension contribution Confidential Employee Assistance Programme, including 24/7 virtual GP access for you and your household Cycle to Work scheme Access to an employee discounts platform with retail, technology and lifestyle savings The chance to work on cutting-edge research and commercial data science projects A collaborative, research-driven environment with genuine scope to grow What s Next? To be considered, please submit your CV along with a link to your GitHub profile, coding portfolio, publications or other examples of technical work. Candidates with experience as a Data Scientist, Machine Learning Engineer, Quantitative Analyst, Statistician, Computational Scientist, Research Scientist or in a similar advanced technical role are encouraged to apply.
