170 jobs found

Product Owner (Jira/Confluence) Experience within the Insurance or Reinsurance industry is highly desirable Bristol (Hybrid 2- 3 days a week in the office) £50,000 - £60,000 + 10% pension, private medical, life assurance, plus much more! I'm currently working with a highly innovative, tech-led analytics business operating within the insurance and risk space. They are looking to appoint an experienced Product Owner to join their growing team in Bristol. This is a unique opportunity for someone who enjoys working at the intersection of technology, data and business operations within a fast-paced, collaborative environment. The role sits across multiple teams and stakeholders, offering the chance to make a genuine impact on product delivery, operational efficiency and data-driven decision making. Unlike a traditional Product Owner role focused purely on software development, this position involves working closely with Data Scientists, Software Engineers, Underwriters and senior leadership teams to oversee complex data flows and business-critical processes end-to-end. The Role You will be responsible for coordinating and managing multiple workstreams across technical and operational teams, ensuring delivery priorities are aligned with wider business objectives. The successful candidate will be comfortable operating autonomously, managing stakeholder expectations and driving collaboration across a broad and diverse group of teams. Key Responsibilities Manage and coordinate cross-functional teams of up to 50 people across Data Science, Engineering and Underwriting Oversee end-to-end product and data pipeline workflows Work closely with senior stakeholders and business leadership teams Drive delivery priorities, sprint planning and workflow management Produce and interpret analytical and operational reports using tools such as Excel and Tableau Ensure effective collaboration between technical and non-technical teams Support process improvement and operational efficiency initiatives Skills & Experience Required 5+ years' experience working as a Product Owner Strong experience working with Jira and Confluence Experience managing cross-functional technical teams Good understanding of data flows, analytics and stakeholder management Comfortable working within fast-paced, evolving environments Strong communication and organisational skills Highly Desirable Experience within the Insurance or Reinsurance industry Experience working with Data Scientists and Software Engineers Technical background or strong technical understanding Exposure to analytics, modelling or data-led environments This is an excellent opportunity to join a growing and highly respected business that is investing heavily in technology, analytics and innovation. The environment is collaborative, entrepreneurial and ideal for someone who enjoys solving complex operational and technical challenges. For more information or a confidential discussion, please get in touch with me (see below)

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. About the Role We are looking for a Backend Developer with strong foundations in algorithms and data structures, ideally shaped by a background in competitive programming. You'll work on building scalable Back End systems while integrating AI/ML capabilities into real-world products. Key Responsibilities Design, develop, and maintain high-performance Back End services and APIs Build scalable systems capable of handling large datasets and Real Time processing Integrate AI/ML models into Back End pipelines (inference, optimization, deployment) Write efficient, optimized code with strong attention to time and space complexity Collaborate with data scientists and Front End engineers to deliver end-to-end solutions Optimize system performance, reliability, and scalability Participate in system design, code reviews, and technical discussions Required Skills Strong programming skills in C++/Python/Java Solid understanding of Data Structures & Algorithms (CP-level proficiency preferred) Experience with Back End frameworks like FastAPI/Flask/Node.js/Spring Boot Knowledge of REST APIs , microservices architecture, and distributed systems Familiarity with databases : SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/Redis) Experience with Git , CI/CD pipelines, and version control workflows AI/ML Requirements Basic to intermediate understanding of Machine Learning/Deep Learning concepts Experience using frameworks like TensorFlow/PyTorch/scikit-learn Ability to integrate pretrained models into Back End systems Familiarity with model deployment tools (eg, Docker, APIs, model serving) Preferred Qualifications Competitive programming experience (eg, Codeforces, LeetCode, AtCoder ) Experience with system design and scalable architecture Knowledge of cloud platforms like Amazon Web Services, Google Cloud, or Microsoft Azure Familiarity with message queues (Kafka, RabbitMQ) Exposure to Real Time systems or high-frequency data processing Nice to Have Experience with LLM APIs (eg, OpenAI, open-source LLMs) Knowledge of vector databases (FAISS, Pinecone) Experience with Kubernetes and container orchestration Contributions to open-source or strong GitHub profile

Python Senior Engineer - 12 Months - London - Hybrid You will join the Recommendations team, contributing to the AI Stylist experience, an AI-powered product that combines conversational interfaces with recommendation capabilities. The work sits at the intersection of engineering and AI, focused on improving relevance, quality, and reliability in a live, customer-facing system. You will collaborate closely with engineers, data scientists, and product stakeholders to evolve the system and support its rapid growth Your responsibilities: Building and evolving AI-powered services using Python Designing and implementing evaluation frameworks for LLM-based systems Improving output quality through structured evals rather than purely code changes Applying techniques such as LLM-as-a-Judge to assess response and recommendation quality Working with non-deterministic systems and iterating based on real-world behaviour Integrating AI services into a broader platform and API ecosystem Contributing to production readiness including reliability, observability, and performance Partnering with data scientists on prompts, model usage, and evaluation strategies Essential skills/knowledge/experience: Strong Python engineering experience in production environments Experience building AI-enabled applications, particularly in recommendation or conversational systems Hands-on experience with evaluation frameworks for LLM or AI systems Clear understanding of how AI systems differ from traditional deterministic systems Ability to design meaningful evals and improve system quality over time Experience working in cross-functional teams with engineering, data, and product Desirable skills/knowledge/experience: Experience with Azure AI services or similar platforms Familiarity with OpenAI or similar SDKs Exposure to infrastructure and distributed systems Experience with tools such as Terraform or Kafka The Offer Day Rate: £450/day (inside IR35) Length: 12 Months (Extenstion Potential) Mode: Hybrid (2x p/w in London) Start: ASAP

Applied AI Scientist Location: London Contract type: Contract Rate / Salary: 600- 800 Clearance: Eligible AI: Complex data. Clear thinking. It's knowing what matters. That makes a real difference. The Opportunity We are looking for an Applied AI Scientist to join our client's growing Data Science profession. This is a senior, hands-on technical role for someone who enjoys deep technical delivery and influencing through credibility rather than hierarchy. The role focuses on applying modern AI techniques to real-world problems in complex, constrained environments. You will work closely with users, stakeholders and fellow data scientists to translate real operational needs into effective AI solutions that deliver tangible outcomes. You will often be working in settings where model behaviour, system constraints and human use interact in non-obvious ways. This is not AI experimentation for its own sake. It is about building solutions that work in practice. This environment is far from ordinary - and we're not looking for ordinary. Working Environment You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. What You'll Be Doing - Design, build and deploy applied AI and data science solutions that deliver measurable impact - Own projects end-to-end, including problem definition, technical delivery and stakeholder engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services - Consider performance, scalability and resilience when deploying AI into operational systems - Influence technical direction through evidence, communication and delivery results - Share knowledge and support learning across the wider data science community Your Experience To be successful in this role, you will bring: - Strong, demonstrable experience as an Applied AI Scientist, Data Scientist or similar hands-on technical role - Excellent Python skills, with the ability to write clean, efficient, production-quality code - Experience developing and deploying AI solutions outside of fully managed cloud services - Solid understanding of modern AI and machine learning techniques - Experience working with imperfect, real-world data and operational constraints - Confidence owning work end-to-end and managing your own delivery - The ability to influence technical decisions without formal authority In Return You'll join an experienced and collaborative team working on meaningful, production-focused AI problems rather than isolated experimentation. This is an opportunity to apply your skills where judgement, pragmatism and technical quality genuinely matter, and to grow your influence through delivery rather than management responsibility. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Lead AI & Data Scientist London/ Hybrid up to 140k + Benefits Most data leadership roles sit at one end of the spectrum. Either highly technical, buried in models and architecture, or heavily stakeholder-focused with little involvement in the actual delivery. This role sits in the middle (or both). They need your skills in a client and stakeholder facing, upwards and downwards management and technical understanding. You'll lead a growing Data science function responsible for delivering real-world AI, machine learning and data science solutions across a complex professional services environment. The challenge is not simply building models. It's understanding business problems, translating them into practical solutions, and helping senior stakeholders understand exactly how technology can create value. The team is already delivering across machine learning, GenAI, document intelligence, search, retrieval, automation and knowledge management. The next phase involves expanding AI capability, shaping a longer-term roadmap around emerging technologies such as Agentic AI, and driving adoption across the wider business. Key responsibilities include: Leading a team of Data Scientists and AI specialists Defining Data & AI strategy and technical direction Designing and delivering Machine Learning, NLP, GenAI and RAG-based solutions Working directly with senior business stakeholders and clients Translating complex technical concepts into clear business language Driving delivery of AI products from concept through to production Establishing governance, evaluation frameworks and responsible AI controls Coaching and mentoring technical teams while remaining hands-on when required To be successful, you'll need a strong background in Data Science, Machine Learning and modern AI technologies, combined with the communication skills to operate confidently from technical workshops through to executive-level discussions. If you can articulate complex AI concepts in 30 seconds, influence stakeholders at every level, and lead a team focused on solving difficult business problems with data - please apply. An opportunity to help shape the future direction of AI within a business that is investing heavily in the technology, in a disruptive industry and determined to stay ahead of the curve.

Data Scientist Location: London Contract type: Contract Rate / Salary: 600- 850 per day PAYE Clearance: Eligible AI: Complex data. Clear thinking. It's knowing what matters. That makes a real difference. The Opportunity We are looking for a Data Scientist to join our client's established and growing data science profession. This is a hands-on role suited to someone with a solid foundation in data science who wants to apply their skills to real problems, learn through delivery, and grow within a supportive professional community. You will work on meaningful, production-focused data science initiatives rather than abstract experimentation. The role offers exposure to multiple projects, access to experienced colleagues, and the opportunity to build depth and confidence by contributing to work that has tangible impact. This environment is far from ordinary - and we're not looking for ordinary. Working Environment You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively. Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more senior data scientists, learning through shared delivery - Communicate findings clearly to both technical and non-technical audiences - Contribute to shared documentation, standards and continuous improvement across the profession Your Experience To be successful in this role, you will bring: - Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical use - Awareness of ethical considerations and responsible data practices - Willingness to learn, accept feedback and engage constructively with challenge In Return You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery. This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

I'm hiring a Data Scientist for a large, well-known UK business investing heavily in its data, analytics, and AI capability . This is a brilliant opportunity for someone from an advanced analytics background who's started moving into modelling and wants to take the next step into a true data science role - working on real use cases like customer segmentation, forecasting, and personalisation. The company A major UK business with a strong national presence, currently building out its data and analytics function under a new leadership team. There's a big focus on using data to drive customer strategy and commercial performance , particularly with the launch of a new loyalty programme later this year - creating real demand for modelling and insight. Where you fit You'll sit within a growing Data Science & Analytics team , reporting into the Data Science Lead and working closely with the Head of Data & Analytics. This is an early hire in the data science journey, so you'll have: Real ownership Exposure to end-to-end projects The opportunity to help shape how modelling is applied across the business What you'll be doing Build and apply models across key retail use cases such as: Customer segmentation Customer lifetime value modelling Demand forecasting Work with stakeholders to define business problems and translate them into analytical solutions Develop models using Python + SQL Support moving models towards production (with guidance from the team) Contribute to the development of personalisation and loyalty analytics strategies Work across the full lifecycle: problem modelling insight business impact What you bring Must-haves 2-4 years' experience in analytics / data roles Strong SQL Experience using Python (preferred) or R for modelling Experience building models (e.g. regression, segmentation, forecasting) Ability to break down business problems and apply analytical thinking Strong communication skills - able to work with non-technical stakeholders Nice to have Exposure to loyalty programmes Any experience taking models toward deployment Strong academic background in a quantitative subject Why this role Step up into a true data science role from analytics Work on real, high-impact use cases tied to a major loyalty programme launch Join at an early stage of the data science journey Strong mentorship from experienced leaders Opportunity to grow with the team as it scales Working style Based in Knowsley 3 days per week onsite Collaborative, fast-growing team environment Interview process Initial call with Hiring Manager (CV walkthrough) Onsite technical interview with leadership team If you're an analyst who's started building models and wants to properly step into data science, this is a great opportunity to do it in a supportive but impactful environment.

We're working with an engineering-led technology business developing complex sensor-based products used in highly regulated environments across healthcare, security and critical infrastructure. This is a hands-on senior engineering role where you'll work across firmware development, embedded architecture, RTOS environments, IoT connectivity and emerging Edge AI applications. You'll be joining a collaborative product development team with significant investment in R&D and the freedom to influence technical direction. What You'll Be Doing Developing embedded software in C and C++ Working with STM32 microcontrollers Designing and implementing firmware for commercial products Developing software within FreeRTOS environments Working with I2C, SPI, CAN, UART and Ethernet communications Supporting connected IoT devices and cloud integration Collaborating with hardware engineers and data scientists Contributing to architecture, design reviews and technical decision making Supporting product development from concept through to release What We're Looking For Essential 5+ years' embedded software development experience Strong Embedded C and C++ Commercial product development experience STM32 experience RTOS experience, ideally FreeRTOS Experience with embedded communications protocols Strong debugging and problem-solving skills Nice To Have Nvidia Jetson Embedded Linux Edge AI / Machine Learning TouchGFX IoT connectivity Embedded cybersecurity

Lead Data Scientist - Financial Crime Salary: 95,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 95,000 - 120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.

Data Solution Architect - Databricks Location: UK Wide (Hybrid) Salary: Up to 110,000 + Bonus + Excellent Benefits Security Clearance: Must be eligible for SC Clearance The Opportunity We're recruiting for an experienced Data Solution Architect with strong Databricks expertise to join a leading technology consultancy delivering large-scale data, analytics, AI and cloud transformation programmes. This role will see you designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives across the business. Key Responsibilities Design and architect Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution design activities. Support pre-sales engagements, proposals and client presentations. Drive best practice across Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience designing secure, scalable and governed data solutions. Excellent stakeholder management and communication skills. Experience supporting pre-sales, bids or solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. What's on Offer? Up to 110,000 base salary Performance bonus Private healthcare Pension scheme Flexible hybrid working Ongoing training and certification support Exposure to enterprise-scale cloud, data and AI projects Clear progression opportunities Security Clearance Candidates must be eligible for SC Clearance , which typically requires continuous UK residency for the past 5 years. Apply If you're an experienced Data Solution Architect with strong Databricks expertise and are looking to work on large-scale cloud and data transformation programmes, we'd love to hear from you.

Join Our Dynamic Client as a Scientific Writer in Pharma! Are you passionate about scientific communication and eager to make a difference in the pharmaceutical industry? We are looking for a talented and enthusiastic Scientific Writer to join our innovative team on a temporary contract! This is your chance to contribute to groundbreaking research and make an impact in the world of healthcare. Location: Remote however you must be based in the UK Contract Length : 12 months Daily Rate : .00 Why Work With Us? At our company, we believe in the power of science and the importance of clear communication. As a Scientific Writer, you will play a vital role in translating complex scientific data into compelling narratives that resonate with diverse audiences. What You'll Do: Collaborate with scientists and researchers to create high-quality scientific documents, including clinical study reports, regulatory submissions, and scientific publications. Craft engaging content that adheres to industry standards and guidelines. Ensure clarity, accuracy, and consistency in all written materials. Stay updated on the latest scientific developments and regulatory requirements. Who You Are: A degree in a relevant scientific field (e.g., Life Sciences, Pharmacy, or a related discipline). Proven experience in scientific writing, preferably within the pharmaceutical industry. Exceptional writing, editing, and proofreading skills. Strong attention to detail and the ability to convey complex information clearly and concisely. A proactive and enthusiastic team player who thrives in a fast-paced environment. Ready to Make an Impact? If you're excited about the opportunity to contribute your skills in scientific writing to a leading pharmaceutical company, we want to hear from you! Join us in our mission to advance healthcare through clear and effective communication. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. 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.

Product Owner Insurance Bristol (Hybrid 2- 3 days a week in the office) £50,000 - £60,000 + 10% pension, private medical, life assurance, plus much more!I'm currently working with a highly innovative, tech-led analytics business operating within the insurance and risk space. They are looking to appoint an experienced Product Owner to join their growing team in Bristol.This is a unique opportunity for someone who enjoys working at the intersection of technology, data and business operations within a fast-paced, collaborative environment. The role sits across multiple teams and stakeholders, offering the chance to make a genuine impact on product delivery, operational efficiency and data-driven decision making.Unlike a traditional Product Owner role focused purely on software development, this position involves working closely with Data Scientists, Software Engineers, Underwriters and senior leadership teams to oversee complex data flows and business-critical processes end-to-end.The RoleYou will be responsible for coordinating and managing multiple workstreams across technical and operational teams, ensuring delivery priorities are aligned with wider business objectives.The successful candidate will be comfortable operating autonomously, managing stakeholder expectations and driving collaboration across a broad and diverse group of teams.Key ResponsibilitiesManage and coordinate cross-functional teams of up to 50 people across Data Science, Engineering and UnderwritingOversee end-to-end product and data pipeline workflowsWork closely with senior stakeholders and business leadership teamsDrive delivery priorities, sprint planning and workflow managementProduce and interpret analytical and operational reports using tools such as Excel and TableauEnsure effective collaboration between technical and non-technical teamsSupport process improvement and operational efficiency initiativesSkills & Experience Required5+ years' experience working as a Product OwnerStrong experience working with Jira and ConfluenceExperience managing cross-functional technical teamsGood understanding of data flows, analytics and stakeholder managementComfortable working within fast-paced, evolving environmentsStrong communication and organisational skillsHighly DesirableExperience within the Insurance or Reinsurance industryExperience working with Data Scientists and Software EngineersTechnical background or strong technical understandingExposure to analytics, modelling or data-led environmentsThis is an excellent opportunity to join a growing and highly respected business that is investing heavily in technology, analytics and innovation. The environment is collaborative, entrepreneurial and ideal for someone who enjoys solving complex operational and technical challenges.For more information or a confidential discussion, please get in touch with me

ABOUT BG AUTOMOTIVE BG Automotive (BGA) is a leader in the Automotive Aftermarket spares industry, catering to both UK and export markets. At BGA, you will join a dynamic environment where innovation and data-driven decision-making are at the core of our success. As a Data Scientist, you will work on impactful projects that range from advanced analytics and predictive modelling to business intelligence and process optimization. Collaborate with cross-functional teams to extract insights from data and develop solutions that enhance efficiency and drive growth. We are looking for a curious and creative individual with a strong analytical mindset, technological fluency, and a passion for solving complex problems. If you thrive on uncovering insights through data and developing actionable solutions, BGA is the ideal place to advance your career. What you will do: Analyse large and complex datasets to uncover insights and inform decision-making. Design and implement machine learning models to address business challenges. Develop dashboards, reports, and visualizations to present data-driven insights. Collaborate with cross-functional teams to identify opportunities for data-driven improvements Assist with the implementation of Oracle ERP and WMS, contributing data expertise in replacing Legacy systems and helping shape data flows, reporting structures, and integrations from the ground up. Improve processes through predictive analytics and statistical modelling. Create data-driven systems in collaboration with our software development team. Communicate findings clearly and effectively to both technical and non-technical stakeholders. Required Skills: Proven experience (2+ years) in data science, machine learning, and statistical analysis Degree in Data Science, Computer Science, Mathematics, or a related field. Proficiency in Python for data analysis and machine learning. Strong knowledge of data visualization tools (Preferably Power BI). Strong SQL skills - comfortable with joins, subqueries, window functions, and query optimisation Experience with ETL processes and building/maintaining data pipelines. Excellent communication skills, with the ability to explain complex ideas simply. Ability to translate business problems into analytical solutions. Desirable Skills: Experience with Oracle ERP or exposure to large-scale ERP implementation projects. Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud). Exposure to Rust, C# or other object-oriented programming languages. Knowledge of frontend development (HTML, CSS, JavaScript) is a plus. What We Offer You: Competitive Salary: We re open to tailoring the job offer to fit your skills and experience. Environment: Work from our modern Swindon offices. Growth Opportunities: Be part of an ambitious, fast-growing company. Supportive Team: Join a close-knit group that values fresh ideas, innovation, and teamwork. Workplace pension On-site parking, Drinks & Fruit complimentary, Service gifts for 5,10,15 plus years, Increased holiday for long service.

Join Our Dynamic Client as a Scientific Writer in Pharma! Are you passionate about scientific communication and eager to make a difference in the pharmaceutical industry? We are looking for a talented and enthusiastic Scientific Writer to join our innovative team on a temporary contract! This is your chance to contribute to groundbreaking research and make an impact in the world of healthcare. Location: Remote however you must be based in the UK Contract Length : 12 months Daily Rate : £560.00 - £675.00 Why Work With Us? At our company, we believe in the power of science and the importance of clear communication. As a Scientific Writer, you will play a vital role in translating complex scientific data into compelling narratives that resonate with diverse audiences. What You'll Do: Collaborate with scientists and researchers to create high-quality scientific documents, including clinical study reports, regulatory submissions, and scientific publications. Craft engaging content that adheres to industry standards and guidelines. Ensure clarity, accuracy, and consistency in all written materials. Stay updated on the latest scientific developments and regulatory requirements. Who You Are: A degree in a relevant scientific field (eg, Life Sciences, Pharmacy, or a related discipline). Proven experience in scientific writing, preferably within the pharmaceutical industry. Exceptional writing, editing, and proofreading skills. Strong attention to detail and the ability to convey complex information clearly and concisely. A proactive and enthusiastic team player who thrives in a fast-paced environment. Ready to Make an Impact? If you're excited about the opportunity to contribute your skills in scientific writing to a leading pharmaceutical company, we want to hear from you! Join us in our mission to advance healthcare through clear and effective communication. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. 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.

Data Scientist (ML Engineer) Salary: £49,387 - £56,515 per annum Location: Manchester Vacancy Type: Permanent Closing date: 18/06/2026 The National Institute for Health and Care Excellence (NICE) is the independent organisation responsible for providing national guidance and advice on promoting high quality health, public health and social care. We have modern offices in Manchester city centre and Stratford, London. Please take into consideration that you may be required to commute to one of our offices for business purposes if necessary. Job overview Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making. As an organisation we all collaborate to achieve this goal by empowering our workforce to do great things! Please note that this role may not be eligible for sponsorship under the Skilled Worker route. Please refer to the DirectGov website for more information on eligibility. We reserve the right to close the advert early should we receive sufficient applications, so please don t delay your submission. Main duties of the job We re looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team, you ll design, build and deploy robust machine learning solutions that support evidence based decision making, improve data practices, and enable the responsible use of AI across the organisation. You ll combine strong technical expertise with clear communication, ethical awareness and a collaborative mindset to turn complex data into meaningful insight. What you ll do and bring to the role Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production. Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities. Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI. Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions. Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches. Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues. Person specification Essential: Holds highly developed specialist knowledge and expertise acquired through a master s degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through relevant practical experience and training/development. Extensive hands on experience designing, building and deploying machine learning and AI solutions, with the ability to select appropriate techniques and evaluate model performance critically. Strong programming and data engineering capability, including writing complex code, working with large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical audiences and working effectively within multidisciplinary teams. Desirable: Artificial intelligence certification. Working for our organisation The Architecture & Data team sits at the heart of NICE s digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes. We can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment. We are passionate and proud of the work we do and the impact we make. NICE offer: Generous NHS Pension Secure your future with one of the most rewarding pension schemes in the UK Flexible working Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times Exclusive discounts Save on shopping, dining and more with a Blue Light Card Time to recharge Start with 27 days annual leave plus bank holidays Inclusive staff networks Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud we celebrate diversity Tailored development Grow your career with personalised learning and development opportunities If you feel this is the type of environment you will enjoy working in, apply today! To Apply If you feel you are a suitable candidate and would like to work for The National Institute for Health and Care Excellence (NICE), please click apply to be redirected to our website to complete your application.

SF Technology Partners are working with a Private Equity backed property operations business based in London who are looking to appoint a highly skilled Principal Data Scientist, focused on improving, automating and driving efficiency in the existing finance processes, as the business looks to modernise. You will be given the autonomy to partner with key business stakeholders and be expected to quickly understand the existing processes and procedures in place, before utilising a highly analytical data driven approach to design, plan and execute significant process upgrades across the Finance function in conjunction with the CFO. You will be expected to lean on demonstrable skills in API Integrations, automation scripting & RPA as well as to effectively use Python, SQL & other big data tools to optimize existing processes, ensuring more efficient working practices and resource allocation. In order to succeed in a role of this nature, you must have a strong Data Science background, however equally critical is to have the right mindset and approach. This role calls for a candidate who demonstrates exceptional forward & sometimes unconventional thinking, they need to have a genuine curiosity around process optimization and how a data background and can work to increase efficiencies in a Finance function. This person must be prepared for a role that will offer incredible autonomy and the chance for exceptional growth, but will come with a expectation of delivering these efficiencies effectively. In return you will receive a competitive salary, highly desirable wider benefits package, but most importantly, will offer the right candidate an opportunity to drive their career forward immeasurably by offering the opportunity and exposure to deliver meaningful change and process upgrades in a highly regarded Private Equity backed environment.

AWS Data Solution Architect Location: UK Wide (Hybrid Working - our clients has base offices UK-Wide) Salary: Up to 110,000 Base Salary + Bonus + Comprehensive Benefits Package Security Clearance: Must be eligible for SC Clearance Shape the Future of Data, Analytics & AI We're partnering with a leading global technology consultancy to recruit an experienced AWS Data Solution Architect . This is a fantastic opportunity to play a key role in designing and delivering modern, enterprise-scale data platforms that enable advanced analytics, AI, GenAI, and data-driven decision making across some of the UK's most complex and high-profile environments. You'll work alongside highly skilled architects, engineers, and data specialists, helping organisations transform their data capabilities using cutting-edge AWS technologies and modern cloud architectures. The Opportunity As an AWS Data Solution Architect, you will take ownership of end-to-end solution design, translating business requirements into scalable, secure, and governed cloud data platforms. You'll lead architecture decisions, shape delivery roadmaps, and provide technical leadership across large-scale transformation programmes. Key Responsibilities Design and architect modern AWS data platforms supporting analytics, AI/ML and GenAI initiatives. Build scalable data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment strategies. Drive platform performance, scalability, resilience and cost optimisation. Implement CI/CD pipelines and Infrastructure-as-Code using AWS CDK, CloudFormation or Terraform. Lead cloud migration and modernisation programmes from legacy data estates to modern AWS architectures. Collaborate with stakeholders, engineers, data scientists and delivery teams to ensure successful outcomes. Desirable Experience Public sector delivery experience. Experience supporting AI, Machine Learning and GenAI initiatives. AWS certifications such as: AWS Certified Solutions Architect AWS Certified Data Engineer - Associate AWS Certified Security - Speciality Experience with: Terraform AWS CDK CloudFormation AWS CodePipeline AWS CodeBuild Git-based CI/CD workflows Security Clearance Requirements To be considered for this opportunity, candidates must be eligible to obtain Security Check (SC) Clearance . This typically requires continuous UK residency for the previous five years, alongside meeting other government security clearance criteria. Apply Now If you're passionate about designing next-generation AWS data platforms and want to work on impactful programmes that leverage analytics, AI and cloud innovation at scale, we'd love to hear from you.

Job Title: Machine Learning Engineer (Computer Vision) Location: London 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.

Data Solution Architect - Databricks Location: UK Wide (Hybrid) Salary: Up to £110,000 + Bonus + Excellent Benefits Security Clearance: Must be eligible for SC Clearance The Opportunity We're recruiting for an experienced Data Solution Architect with strong Databricks expertise to join a leading technology consultancy delivering large-scale data, analytics, AI and cloud transformation programmes. This role will see you designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives across the business. Key Responsibilities Design and architect Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution design activities. Support pre-sales engagements, proposals and client presentations. Drive best practice across Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience designing secure, scalable and governed data solutions. Excellent stakeholder management and communication skills. Experience supporting pre-sales, bids or solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. What's on Offer? Up to £110,000 base salary Performance bonus Private healthcare Pension scheme Flexible hybrid working Ongoing training and certification support Exposure to enterprise-scale cloud, data and AI projects Clear progression opportunities Security Clearance Candidates must be eligible for SC Clearance , which typically requires continuous UK residency for the past 5 years. Apply If you're an experienced Data Solution Architect with strong Databricks expertise and are looking to work on large-scale cloud and data transformation programmes, we'd love to hear from you.

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.