23 Data Scientist jobs

Data Engineer Location: Remote with requirement to visit London based office twice a month Hours: 37.5 Hours a week (Monday Friday 9:00am 17:00pm) Salary Range: £40,000 - £80,000 per annum (Depending on Experience) Contract Type: Permanent, Full-Time About the Opportunity An outstanding opportunity has arisen for a Data Engineer with various levels of experience to join an innovative, forward-thinking Data division within a UK-leading, award-winning corporate organisation. In this role, you will become part of a highly collaborative team comprising data and AI engineers, data scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support advanced analytics and directly improve products across the entire business. This is a fantastic opportunity to work on a highly modern technology stack and learn from an exceptional team, offering immense scope for technical growth and career development. Key Responsibilities Data Product Development: Build and support robust data products within a modern, cloud-based data platform. Collaborative Design: Design and deliver innovative data solutions alongside data engineers, scientists, and product teams. Pipeline Optimisation: Develop, maintain, and optimize scalable data pipelines across the analytics platform. Data Integration: Integrate large, diverse datasets from various sources while maintaining exceptionally high quality and governance standards. Platform Orchestration: Maintain the orchestration, proactive monitoring, and general performance of data platform components. Engineering Excellence: Champion high coding and data practice standards, helping to improve engineering processes across the wider data community. Innovation: Experiment with emerging data, machine learning (ML), and generative AI technologies to drive business value. Architectural Partnership: Partner with data architects on the high-level design of data products. Agile Squads: Work collaboratively within multi-functional agile squads. AI Infrastructure : Support machine learning and GenAI infrastructure and end-to-end workflows. What We Are Looking For To be successful in this role, you will have a genuine passion for building scalable, resilient cloud data platforms alongside the following technical expertise: Platform Experience: Strong, hands-on experience with Databricks or Snowflake on AWS. Programming & Orchestration: Proven Python skills, including deep expertise in PySpark (or Spark) and Airflow. Data Modelling: Advanced SQL skills and extensive experience with end-to-end data modelling. Data Integration: Proven experience building both batch and real-time data integrations. CI/CD & Infrastructure: Hands-on CI/CD experience with Git, Jenkins, or similar tools, along with knowledge of Terraform or equivalent Infrastructure as Code (IaC) tools. Data Ingestion: The ability to successfully ingest, cleanse, and structure large, complex datasets. Desirable Skills: Prior experience with Docker and Kubernetes, or exposure to production-level Generative AI, is highly beneficial. Collaboration: Strong communication and collaboration skills, coupled with a proactive, inquisitive attitude. Salary, Benefits & Culture This organisation has been officially recognised as a leading UK employer, offering an inclusive, supportive, and modern environment where your development is fully supported. Alongside a highly competitive salary, you will receive a comprehensive and flexible rewards package: Flexible & Hybrid Working: Modern hybrid working options designed to support work-life balance, with flexibility around working hours and genuine part-time or job-share arrangements available. Generous Annual Leave: A highly competitive annual leave allowance with options to customise your holiday balance through buying and selling schemes. Health & Wellbeing: Comprehensive healthcare options, including dental plans, health cash plans, screening services, and dedicated mental health and wellness support. Financial Benefits: Highly competitive corporate pension plans, regular salary reviews, discretionary bonus schemes, and exclusive employee savings and loan initiatives. Family-Friendly Policies: Enhanced paid parental and partner leave schemes, alongside structured return-to-work programmes to support family life. Perks & Lifestyle: Tech saving schemes, cycle-to-work programs, vehicle scheme options, and a variety of corporate lifestyle discounts and social club events. How to Apply If you are an ambitious Data Engineer looking to work with cutting-edge technologies within a highly collaborative and rewarding environment, please submit your CV for consideration.

JOB TITLE: Machine Learning Engineer LOCATION: North London WAY OF WORKING: Full Time Hybrid 6-month contract THE MACHINE LEARNING ENGINEER OPPORTUNITY: Design, build, and deploy machine learning models into production environments Develop and optimise recommendation systems (e.g. personalised product recommendations, ranking, search optimisation) Collaborate with data scientists, engineers, and product stakeholders to translate business requirements into ML solutions Implement and maintain MLOps pipelines to support continuous integration, delivery, and monitoring of models Ensure scalability, performance, and reliability of ML systems within Azure cloud infrastructure Work with large-scale datasets to extract insights and improve model accuracy Monitor model performance and retrain models to maintain effectiveness over time Contribute to best practices in ML engineering, deployment, and governance YOUR KEY SKILLS: Strong experience as an ML Engineer in a production environment Proven expertise with Azure Hands-on experience implementing MLOps frameworks (CI/CD, model versioning, monitoring, automation) Demonstrable experience building recommendation systems (collaborative filtering, content-based, hybrid approaches) Strong proficiency in Python and common ML libraries (TensorFlow, PyTorch) Experience working with large-scale data processing tools If you are interested in the Machine Learning Engineer role, please send an application detailing proof of the above or contact Shona in our office.

Director of Financial Crime Redefine how financial crime is prevented - through data, automation, and AI. A high-growth digital banking platform undergoing a multi-million-pound technology transformation is seeking a Director of Financial Crime & Innovation. This is a unique opportunity to build and lead a next-generation, tech-enabled financial crime framework at the forefront of FinTech innovation. You ll work closely with the senior leadership team, and cross-functional teams-including AI, engineering, and product-to embed scalable controls that strengthen trust, meet regulatory standards, and enhance customer experience. What You ll Do: Lead the 1st Line Financial Crime function with a vision for smart, scalable prevention and detection. Translate regulation and risk into efficient, automated, and customer-focused controls. Partner with AI and technology teams to integrate machine learning, data analytics, and automation into onboarding, monitoring, and investigations. Deliver clear, strategic insights to executive and board-level forums. Drive consistent control ownership and assurance across all lines of defence. Champion continuous improvement across KYC, transaction monitoring, fraud, and investigations. What You Bring: Strong leadership experience in financial crime within regulated environments digital banking, payments, lending, insurance, or gaming. Deep subject matter expertise in AML, CTF, sanctions, and fraud. High technical fluency; confident working with engineers, data scientists, and product owners. Experience delivering transformation or operating model change in risk or compliance. Gravitas to influence at senior levels and collaborate cross-functionally. What s On Offer: Hybrid working Generous holiday allowance, birthday leave, and well-being days Access to cutting-edge tools and a passionate, mission-driven team If you're ready to shape the future of financial crime prevention driving innovation while protecting customers at scale apply now to take the next step in your leadership journey. Director of Financial Crime

About Us Forsyth Barnes is partnering with a market-leading technology business undertaking a major Analytics & AI transformation programme. As part of a strategic move from a large on-premise estate to a modern AWS-based analytics platform, our client is investing heavily in cloud-native data capabilities that will power enterprise reporting, customer analytics, AI initiatives and future data products. This is an opportunity to join a high-impact programme and help shape the future of data architecture across the organisation. Job Description We are looking for a Senior AWS Data Engineer to play a key role in designing, building and scaling a modern AWS data platform. This is a hands-on engineering position requiring someone who has previously delivered cloud data platform initiatives and can combine technical leadership with practical delivery. You'll be responsible for helping move data from a large on-premise environment into AWS whilst establishing scalable ingestion frameworks, reusable data products and event-driven data capabilities. The successful candidate will be comfortable mentoring engineers, challenging technical decisions and contributing directly to the build and ongoing evolution of the platform. Key Responsibilities Design, build and optimise AWS-native data pipelines and cloud data platform capabilities. Deliver ingestion solutions using CDC, event-driven and batch processing patterns. Build scalable ETL/ELT frameworks and reusable data products using Python and SQL. Support migration of data from a large on-premise estate into AWS. Design and implement robust data models supporting analytics and reporting requirements. Develop data quality, observability, governance and monitoring frameworks. Collaborate closely with Architects, Engineers, Data Scientists and Product teams. Provide technical leadership and mentoring whilst remaining hands-on. Support performance optimisation, cloud cost management and operational excellence initiatives. Requirements Proven commercial experience as an AWS Data Engineer or Data Platform Engineer. Strong experience working with AWS services including S3, Glue, Athena, EMR and Lambda. Advanced SQL and Python skills. Strong data modelling expertise, including dimensional modelling and analytics-ready data design. Experience delivering end-to-end cloud data platforms from ingestion through to consumption. Ability to lead and mentor engineers whilst remaining hands-on technically. Strong understanding of modern Data Engineering principles and best practices. Benefits Meaningful ownership of cloud data engineering work that supports transportation, logistics and digitally enabled services. Technical scope across ingestion, lakehouse design, governance, data products and AWS platform optimisation rather than a narrowly defined pipeline remit. Exposure to analytics, machine learning and emerging AI initiatives as the organisation expands its data capabilities. Opportunity to influence reusable engineering standards, delivery patterns and the practical adoption of data-product principles. Collaboration with architecture, platform, software, product and analytical professionals across a varied technology landscape. Access to a role where strong engineering decisions can improve reliability, insight and operational performance at scale. Professional growth through hands-on work with modern AWS services, contemporary data practices and complex integration challenges. A competitive package aligned with the responsibilities and experience required for this position. Other The position is based in Nottingham, England, and is suited to an engineer who combines strong AWS delivery skills with an interest in platform design and business outcomes. Experience from transportation, logistics, software, telecommunications or another data-intensive sector will transfer well. Applicants should be prepared to demonstrate how they have improved the reliability, usability or governance of production data platforms. The successful candidate will bring curiosity, practical judgement and the ability to turn evolving requirements into robust engineering outcomes.

Data Analyst Location - Northern Hub Marston Holdings Limited is a parent company formed of eight brand entities that each specialise in key areas of our overarching business. In a nutshell, we are the UK's largest judicial services company and pioneers in clean air technology, offering services that support local and central government, utilities, and private sectors through the delivery of market leading integrated technology-enabled solutions from design and implementation to management and recovery. Help turn data into decisions that make a real difference. If you enjoy solving problems finding patterns in data and helping people, make better decisions this could be a great opportunity for you. We are looking for a commercially aware and curious Data Analyst to join our Data Team. You will create accurate engaging reporting for internal teams and clients turning complex information into clear insight practical recommendations and meaningful action. What you will be doing: Work with colleagues and stakeholders to understand what they need from data then help turn those requirements into clear reliable reports and insight. Explore new datasets understand how they are structured and use them to build reporting that is accurate insightful and easy to understand. Spot trends highlight improvement opportunities and explain what the data is telling us in a way that helps the business take action. Collaborate with operational managers and service teams to understand performance challenges identify where insight can add value and develop plans to achieve. Share findings clearly and confidently with different audiences from operational colleagues through to senior leaders. Build your understanding of the key operational financial and performance measures that matter to the business. Identify opportunities for automation and efficiency and work with colleagues to deliver. Manage your workload and projects effectively with support from senior colleagues when priorities change or deadlines are tight. What we are looking for: You do not need to know everything from day one, but you should enjoy working with data asking good questions and finding practical ways to solve problems. We are looking for someone who can bring: Around 3 years' experience in a Data Analyst or similar analytical role. Experience creating reports dashboards or analysis that help people understand performance and make decisions. Confidence working with numbers and interpreting data accurately. The ability to explain insight clearly to both technical and non-technical audiences. A proactive positive approach and a genuine interest in continuous improvement. Good problem-solving skills and the curiosity to investigate issues through to resolution. Confidence to ask questions challenge assumptions and suggest better ways of working. Flexibility to adapt as business operational or client priorities change. Technical skills we are looking for Advanced Microsoft Excel skills. Advanced Microsoft Power BI skills. Strong working knowledge of:- SQL Power Query M-DAX Skills and experience that would be useful Experience within enforcement compliance or other regulated services. Familiarity with case management systems or operational performance metrics in a field-based workforce. Degree-level education in mathematics statistics economics or a similar subject and nbsp Why join us? You will join an established Data Team made up of Analysts Data Scientists and Data Engineers with the opportunity to work on reporting and insight that is used across the business. You will have space to take ownership develop your technical skills and see the impact of your work in real decisions operational improvements and client conversations. What you will get in return: 25 annual leave days plus bank holidays Enhanced Maternity and Paternity Package NB subject to eligibility criteria. Health Cash Back Plan Staff benefits designed to suit you, from discounts on high street and online shopping to travel, socialising and wellbeing. Pension Scheme If this sounds like the job for you, please apply . New starters will be subject to clearance through the Disclosure and Barring Service and a County Court Judgment check. In addition, the post holder is expected to keep the Company updated if their personal circumstances change. We are an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and their passion for creating better outcomes, and we're committed to creating an inclusive environment for all employees

Senior Data Scientist, Marketing Remote (UK) £70,000 - £90,000An exciting opportunity to join a fast-growing, data-driven business where marketing measurement sits at the heart of commercial decision-making. This role offers the chance to own advanced modelling initiatives, influence budget allocation, and shape how marketing performance is measured across the organisation. The Company They are a digitally-focused consumer business operating at scale, with a strong commitment to data-led decision making. Their collaborative culture empowers employees to take ownership of high-impact projects and influence business strategy. With a modern data stack and a growing analytics function, they offer an environment where experimentation and innovation are actively encouraged. The Role Own and develop the organisation's Marketing Mix Modelling (MMM) framework using modern modelling techniques. Deliver actionable insights on marketing effectiveness, media performance, and budget allocation. Design and evaluate incrementality testing programmes, including lift studies and geo-based experiments. Partner with Marketing teams to improve attribution, measurement, and channel performance. Build and maintain Lifetime Value (LTV) models to support acquisition and retention strategies. Apply statistical and causal inference techniques to identify growth opportunities and optimise investment decisions. Translate complex modelling outputs into clear recommendations for stakeholders. Your Skills & Experience Strong commercial experience in Marketing Mix Modelling, marketing measurement, or advanced marketing analytics. Excellent understanding of experimentation, incrementality testing, and causal inference methodologies. Strong statistical knowledge, including hypothesis testing, regression analysis, and experimental design. Advanced SQL skills and experience working with Python for analytics and modelling. Experience using modern data platforms and cloud-based analytics environments. Ability to communicate technical findings effectively to non-technical stakeholders. Comfortable working in a fast-paced environment with a high degree of ownership. What They Offer Salary of £70,000 - £90,000 depending on experience. Annual performance-related bonus. Flexible working and fully remote UK-based working arrangements. Private healthcare and enhanced pension contribution. Generous annual leave allowance. Opportunities to work on complex data science challenges with direct commercial impact. Clear scope for professional growth and progression within a growing data team. How to Apply If you're a Senior Data Scientist with expertise in marketing measurement, MMM, and experimentation, apply today to learn more about this opportunity.

The Opportunity We're supporting a specialist data and analytics company that develops and licenses a proprietary customer intelligence platform used by enterprise clients. Their platform sits within client environments and leverages first-party customer data, transactions and behavioural events to identify where value is created, forecast future outcomes and drive customer growth through advanced analytics. They are looking for an experienced Contract Data Scientist to join a critical insurance-focused project and take ownership of model development from day one. The Project Working within the insurance sector, you'll build scalable customer analytics solutions focused on: Customer segmentation and clustering Propensity modelling Forecasting models Insurance customer behaviour analysis Large-scale model development and delivery A key deliverable will be the creation of a primary customer segmentation framework, including multiple sub-segmentations, alongside propensity models that support commercial decision-making. The project specifically focuses on motor and home insurance quote behaviour , so experience understanding insurance products, quote journeys and customer purchasing behaviour is essential. What You'll Be Doing Developing customer segmentation and clustering models Building propensity and predictive models Creating forecasting solutions using customer and transactional data Working within notebook-based analytics environments Packaging models for deployment and handing over to engineering teams Collaborating closely with Product, Data Science and Engineering leadership Essential Skills Strong commercial Data Science experience Proven background delivering segmentation and clustering projects Hands-on propensity modelling experience Advanced Python Experience working in Databricks and/or Microsoft Fabric Experience developing models within notebook environments Ability to quickly understand business problems and deliver at pace Insurance sector experience Highly Desirable Experience within motor or home insurance Understanding of insurance quote journeys and buying behaviour Experience delivering customer analytics projects using first-party customer data Previous contractor experience in fast-paced delivery environments

MORELA Application Developer AI Applications & Power BI Holborn, London Morela is proud to be supporting a London-based AI analytics business in the search for an Application Developer. This is a permanent role based at the client's office in Holborn, Central London, four days a week (Monday to Thursday), with a salary of £75,000 plus benefits. Candidates must have the right to work in the UK. About the Client Our client runs an AI customer growth platform that helps some of the UK's best-known consumer brands get far more value from their first-party customer data. Their clients include household-name retailers and financial services businesses with customer bases running into the millions. The platform shows where growth in a customer base is coming from, where it is going, where it is leaking and which behaviours drive it, then projects that forward. Boards get a forward-looking view of their customers instead of a historic one, and can test interventions against it. It has grown into a management system for customer value growth, sitting in the gap between high-level strategy consultancies and marketing-led CRM firms. The business is founder-funded and has built its platform with a deliberately lean, senior team. It is now investing in the people and practices to scale, including a move to forward-deployed implementation teams from next year. It is a genuine chance to join early and shape how the business grows. The Role This is a priority hire. The client is moving its product from Power BI dashboards to AI-enabled web applications, and this role sits right at the centre of that shift. You will keep existing Power BI deployments running smoothly for current clients while building the new application layer that replaces them, then help migrate those clients across. Alongside the build work, you will work directly with client technical and security teams to get the platform deployed in their environments. Responsibilities Maintain and enhance existing Power BI reports and models, including DAX, for current clients during the migration. Design and build the new web application presentation layer for the platform. Use modern AI tooling and integrate with the agents the business is building into its product. Plan and deliver client migrations from Power BI to the new applications. Work with client IT and security teams on infrastructure requirements, security reviews and DPIA sign-off to deploy the platform in their environment. Get client data flowing into the platform so insight can be presented back to them. Work closely with the data scientists and engineers to turn models and data into applications clients use every day. Essential Requirements Strong hands-on Power BI experience, including DAX and data modelling. Commercial experience building web applications (front end and back end). Practical experience with current AI and LLM tooling, and an interest in agent-based applications. Comfortable in client-facing technical conversations, including with IT and security stakeholders. Able to balance supporting live clients with building new product. Desirable Experience Experience migrating clients or users from BI tools to bespoke applications. Experience deploying software into client-hosted or enterprise cloud environments. Knowledge of data security, privacy and DPIA processes. Experience in a forward-deployed, consultancy or solutions engineering role. Experience with customer, marketing or CRM data. Working Environment You will be based in Holborn four days a week, Monday to Thursday, as part of a small, senior team with direct access to leadership. Clients are currently supported mainly remotely, with on-site visits when needed, and the business plans to move to forward-deployed implementation teams from next year. It is a hands-on role where your work is visible and shapes the product.

Job Title Data Scientist Job Description Job purpose: Our IT mission is to transform how data and AI are delivered to customers and colleagues around the world, with a focus on simplicity, trust, and measurable value. AI is central to this mission, providing tools and platforms for creating and operating secure, scalable data and AI solutions. Reporting to the BI and Analytics Manager, the Data Scientist is a valued member of the Enterprise Analytics & AI Hub. This role develops and evaluates advanced analytics, machine learning, and generative AI solutions that help us understand business challenges, improve decisions, and create better customer and colleague experiences. Using modern data science techniques and scalable AWS technologies, the Data Scientist connects business needs with reliable technical solutions. This role works closely with product, data engineering, software and platform engineering, security, governance, and domain experts to move ideas from discovery and experimentation into monitored production services. The Data Scientist plays a vital role within the Enterprise Analytics & AI Hub, contributing to the team's core objectives: • Turn ambiguous business questions into measurable data science problems, clear success measures, and evidence-based recommendations. • Build trusted models, data products, and AI capabilities in Nexus (our internal platform) that colleagues can use safely and effectively. • Improve the quality and usability of structured and unstructured data by making definitions, lineage, assumptions, and limitations clear. • Establish evaluation, observability, and feedback practices that improve accuracy, reliability, latency, and cost over time. • Foster a culture of responsible, data-informed experimentation by sharing insights, reusable approaches, and emerging techniques across the team. Key Responsibilities Key Responsibilities: Partner with product owners, domain experts, and stakeholders to translate business challenges into measurable analytical or AI outcomes, data requirements, and evaluation plans. Explore, prepare, and validate structured and unstructured data, establishing appropriate quality checks, feature definitions, lineage, and documented limitations. Design, develop, and validate statistical and machine learning solutions for tasks such as classification, regression, clustering, forecasting, segmentation, and optimization. Design experiments and apply statistical analysis, including A/B testing where appropriate, to measure impact, interpret uncertainty, and support sound decisions. Build and evaluate generative AI capabilities within Nexus (AWS stack), including prompt and context design, embeddings, retrieval-augmented generation, knowledge bases, and agent or tool behaviours. Write production-quality Python and SQL, and work with engineers to integrate successful solutions into scalable AWS services, data pipelines, and APIs. Apply MLOps and LLMOps practices, including version control, automated tests, CI/CD, reproducible deployment, monitoring, drift detection, and rollback. Define and maintain offline and live evaluation measures, using traces, token usage, cost, performance, and user feedback to improve solutions over time. Apply responsible AI, privacy, security, and data governance principles, with appropriate access controls, explainability, safety checks, and human oversight. Communicate insights, trade-offs, and recommendations clearly to technical and business audiences, and contribute reusable patterns, documentation, and learning across the team. Function IT Country United Kingdom Office Location Newcastle Work Place type Hybrid Advert Working at Sage means you're supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions. Our colleagues are the best of the best. It's why we were awarded 2024 Best Places to Work by Glassdoor. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential. Learn more about working at Sage: Watch a video about our culture: v=qIoiCpZH-QE We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out at . Learn more about DEI at Sage:

Location: Crawley, United Kingdom Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services. 2027 Data Science Apprentice - Level 6 Data Scientist Start Date: 06 September 2027 Salary: £24,000 per annum Employee type: Permanent Location: Crawley Working Schedule: Monday - Friday, 37 hours a week (8 hours Monday - Thursday, 5 hours Friday) Are you looking for an exciting opportunity to develop cutting-edge data science skills and solve real-world business challenges? Do you enjoy working with data, uncovering patterns, and using evidence to influence decisions? Are you curious about how artificial intelligence, machine learning, and advanced analytics can help businesses innovate and improve performance? Our Data Scientist Apprenticeship provides an excellent opportunity to launch your career in data science while learning from industry experts within a leading technology company. Benefits of the programme: Earn while you learn with a competitive salary. Gain hands-on, job-specific training and real-world experience. Achieve a recognised professional qualification. Secure a permanent role from the start of your apprenticeship Enjoy fully funded tuition fees on approved training programmes. Learn from experienced professionals and develop skills that will support your long-term career growth. Build valuable experience and develop your career in data science About the Role As a Data Scientist Apprentice, you will be valued for your curiosity, analytical mindset, and passion for solving problems using data. You will work with a variety of datasets, tools, and technologies to identify trends, build predictive models, and generate insights that support business decision-making. Working alongside experienced data professionals, you will learn how to transform raw data into valuable business intelligence and help develop data-driven solutions that create measurable impact . Your responsibilities may include: Identifying business challenges and using data science techniques to recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing of predictive models and analytical solutions. Working with data teams to create data products, dashboards, and insights used across the business. Evaluating model performance and supporting continuous improvement of analytical solutions. What You Will Learn Throughout the apprenticeship, you will gain experience and knowledge in: Data collection, preparation, and management techniques. Statistical methods and hypothesis testing. Programming languages such as Python and SQL. Machine learning concepts and model development. Data visualisation and storytelling techniques. Exploratory and predictive analytics. Artificial Intelligence fundamentals and responsible AI practices. Data governance, ethics, and compliance. Cloud-based analytics and data science platforms. Business and stakeholder engagement skills. Communicating technical findings to both technical and non-technical audiences. Project management and agile ways of working. Apprenticeship Programme You will study towards a Level 6 Data Scientist Apprenticeship with The University of Nottingham. The programme is delivered over 42 months through a blend of: On-campus learning Online study Workplace-based learning You will typically attend university for a minimum of 4 weeks each academic year, delivered in 1-week blocks. On successful completion of the programme and End Point Assessment, you will achieve: A fully funded BSc (Hons) Data Science degree A Level 6 Data Scientist Degree Apprenticeship qualification Entry Requirements To apply, you will need: 3 A levels (BBC) including Maths (Citizenship Skills, General Studies and Critical Thinking are not accepted) Or a Level 4 Data Analyst qualification will be considered on a case-by-case basis GCSEs • Minimum of five GCSEs at Grade 4/C or above (Maths at Grade 5/C or above) Must include English Language and Mathematics Please note that those with a relevant degree will not be eligible for this programme. Benefits Competitive salary of £24,000 per annum Performance-related pay uplifts Holiday entitlement of 201 hours a year (plus a company day and bank holidays) Contributory Company Pension Health Care Cash Plan Hybrid/flexible working options Employee assistance programme Learning and development support Employee discounts and wellbeing initiatives Life Cover 80 Hours Volunteering per year (first two years) Thales Apprentice Recruitment Process 1. Apply Online - submit your application online to register your interest. You only need to register for one role as you will have the opportunity to apply for additional roles at the full application stage. 2. Upload Your CV 3. Check your emails for the invitation to apply - this will comefrom 4. Complete Your Application - follow the link provided in the email to complete your application. You can apply for one primary role and up to 3 additional roles. 5. Complete Online Tests - undertake the online assessments designed to evaluate your suitability for the role. 6. Virtual Assessment Centre - candidates who progress from the online assessment stage will attend a virtual assessment centre, which will include group exercises, and competency-based interviews. 7. Job Offer - successful candidates who perform well throughout the recruitment process will receive a job offer from Thales.undefined For further information about our Future Talent recruitment process, including hints and tips, or to connect with a member of the Future Talent Team, a Graduate, or an Apprentice, please visit Thales Future Talent - Connectr . Please note, assessment centres for shortlisted candidates will be held between February - May 2027. Induction week for all Graduate and Apprentices will take place from Monday 6 September - Friday 10 September 2027. Closing date: Our applications will close at 11.59pm on Wednesday 17 February 2027, this is the only time we will be accepting applications this year. Please note, we will be in contact by the end of February 2027 with details of next steps. PLEASE NOTE THAT ROLES MAY CLOSE EARLIER THAN THE ADVERTISED DEADLINE IF WE RECEIVE A HIGH NUMER OF APPLICATIONS. WE ENCOURAGE YOU TO APPLY AS SOON AS POSSIBLE TO AVOID MISSING OUT ON THIS OPPORTUNITY. Because of the work we do at Thales, all roles are subject to security requirements. To be considered for this position, you must have the permanent right to work in the UK and be able to successfully complete and maintain UK Government security checks, including Baseline Personnel Security Standard (BPSS) screening and Security Clearance (SC), which is a government background check, before starting employment.To be eligible for SC clearance, you will typically need to have lived in the UK continuously for the last five years. As part of the vetting process, you will be asked to provide evidence of your identity, right to work in the UK, any time spent overseas during the last five years, and your employment and/or education history. For further details of the evidence required to apply for security clearance please follow this link - At Thales, we ensure equal opportunities, pay and working conditions for all. The benefits we offer include private medical insurance, buying or selling annual leave, cycle to work schemes, employee discounts, paid volunteering day, stocks and shares, annual bonus and much more depending on the role. Read more about our benefits here. We are committed to creating a workplace where everyone feels valued for who they are and the unique strengths they bring. Discover more about our programmes, employee networks, wellbeing policies, and inclusive features here. If this role isn't quite right for you, we encourage you to join our talent community where your details will be shared with our recruitment teams for other potential opportunities. Join the Talent Community here. Join Thales in the UK - Innovate with us and shape the future!

This is an opportunity to take ownership of some of the most commercially important marketing measurement challenges in a growing, data-driven business. You will shape how marketing investment is allocated, influence acquisition strategy, and build the models that drive long-term growth. The Company They are a digital business investing heavily in customer acquisition and marketing analytics. With ambitious growth plans and a commitment to data-led decision making, they are looking to significantly increase marketing spend while ensuring every investment is measurable and effective.Their analytics and data science function plays a role in strategic decision making, partnering closely with marketing leadership to optimise performance and identify scalable growth opportunities. The business embraces modern technologies and AI-enabled ways of working to maximise impact across the organisation. The Role As a Senior Data Scientist, you will work closely with the Head of Performance Marketing to evaluate marketing effectiveness, improve acquisition efficiency, and support significant budget growth.Key responsibilities include: Own and develop the Marketing Mix Modelling (MMM) framework to guide marketing investment decisions Analyse channel effectiveness and identify diminishing returns across paid media channels Build and maintain Lifetime Value (LTV) models that support acquisition and budgeting decisions Measure marketing incrementality through experimentation, lift studies, geo-testing and causal inference techniques Translate modelling outputs into clear budget recommendations and commercial actions Partner with marketing stakeholders to optimise customer acquisition performance as marketing investment scales Develop predictive models and advanced analytics solutions using Python and SQL Leverage AI tools to accelerate coding, experimentation and analytical workflows Drive best practice across marketing measurement, attribution and performance analytics Your Skills & Experience Strong commercial experience in Marketing Mix Modelling (MMM) Experience measuring incrementality and designing marketing experiments Expertise in customer lifetime value (LTV) modelling Strong understanding of marketing performance, attribution and channel effectiveness Advanced SQL and Python skills Experience working with Snowflake and dbt Strong statistical and causal inference knowledge Ability to communicate complex analytical findings to non-technical stakeholders Experience partnering closely with performance marketing teams What They Offer Salary up to £90,000 Fully remote working within the UK

Data Scientist - Insurance, Machine Learning & Pricing Analytics Our client, a leading London Market insurer, is seeking a Data Scientist to join their growing Data Science function. Following significant investment and increased adoption of data science across the business, this role offers the opportunity to work on a range of high-impact machine learning and analytics initiatives that are influencing business strategy and underwriting performance. Reporting directly to the Data Science Manager, you will join a close-knit team of data science professionals and play a key role in shaping and delivering advanced analytical solutions across the organisation. This is a permanent role paying up to £75,000 and requires 3 days per week in the London office. Experience Required: Demonstratable years' experience in a Data Scientist position Strong Python development skills with experience building and deploying machine learning solutions Experience working with MLOps frameworks and best practices Strong understanding of CI/CD principles and deployment processes Experience developing, tuning, testing, and optimising machine learning models Good understanding of model validation, experimentation, and performance measurement techniques Insurance industry experience is essential Exposure to actuarial modelling and pricing optimisation within insurance is highly desirable and close to essential Excellent communication and stakeholder management skills with the ability to engage effectively with both technical and non-technical audiences A collaborative, hardworking, and pragmatic approach to problem-solving Desirable Skills: Experience with Databricks or similar modern data platforms Exposure to pricing, underwriting, or actuarial analytics within the insurance sector If you feel you have the right skill set to take on this opportunity, please apply. Successful candidates will be contacted within 2 working days. The processing and use by us of your personal data is in accordance with our Privacy Notice which can be found on our website. William Alexander Diversity & Inclusion Policy actively promotes the principles of equality, diversity, and inclusion in all its dealings with employees, workers, job applicants, clients, customers, suppliers, contractors, and the public. We fully believe an inclusive work culture where people of different backgrounds are valued equally will ensure better outcomes for us all, and we approach recruitment for our clients with the same perspective and qualities. Data Scientist - Insurance, Machine Learning & Pricing Analytics

Data Scientist (Fixed Term Contract) Contract Details: Contract Type: Fixed Term Contract Contract Length: 12 months Working Pattern: Full Time Daily Rate: 600 to 750 Our client, a leading player in the retail industry, is seeking a talented Data Scientist to join their dynamic team on a fixed-term contract basis for 12 months. This is an exceptional opportunity to leverage your expertise in machine learning and statistics to drive impactful data science solutions that enhance customer experiences and optimise business operations. Role Overview: As a Data Scientist, you will be at the forefront of developing and deploying machine learning models that directly influence decision-making processes, customer service, and overall business performance. Your work will involve: Designing and implementing robust machine learning models and data pipelines. Experimenting with innovative approaches to translate complex business challenges into actionable data science solutions. Evaluating model performance through rigorous statistical analysis and assessing business impact. Collaborating closely with Machine Learning Engineers and Software Engineers to ensure seamless integration and adherence to best coding practises. Engaging with stakeholders across the organisation to communicate complex ideas in a clear and compelling manner, highlighting how data science can drive significant improvements. What Our Client Is Looking For: The ideal candidate will possess: A solid foundation in machine learning, statistics, and programming. A curious intellect, critical thinking skills, and a scientific mindset focused on achieving business impact. Proven experience in translating challenging business problems into effective data science solutions while communicating findings to both technical and non-technical audiences. Extensive proficiency in Python and experience working with large-scale data in distributed computing environments. Strong knowledge of coding practises, including version control and testing. The ability to thrive in an ambiguous environment, taking ownership from problem scoping through to delivery while effectively engaging stakeholders. Experience in marketing, personalisation, recommendation systems, optimisation, or adaptive experimentation would be advantageous. This is an exciting opportunity to make a significant impact within a vibrant team that is dedicated to pushing the boundaries of data science in the retail sector. If you are passionate about using data to transform customer experiences and drive business success, this role is perfect for you. How to Apply: Interested candidates are encouraged to apply promptly, as this role is expected to attract high interest. Please ensure your application highlights your relevant experience and showcases your passion for data science. Take the next step in your career and contribute to meaningful change in the retail landscape with our client! 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 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. Are you ready to be at the forefront of innovation? Join our client's mission to empower innovators and pioneer groundbreaking ideas through their Data Connect Innovation (DCI) Lab! With a focus on rapid proof of concepts (POCs), this role offers the unique opportunity to experiment with novel technologies, accelerate value, and collaborate to create data-driven products that can reshape the organisation and enhance customer experiences. Role: Data Innovation Business Analyst Duration: 6 Months (Perm options) Location: Warwick (2 Days a week in the Office) Rate: 500 pd (umbrella) Your Role As a Data Innovation Business Analyst, you will: Identify, prioritise, and execute successful POCs that uncover valuable opportunities for our client. Guide innovative ideas from initial discussions through to delivery, working closely with business owners and partners. Engage with multidisciplinary teams, including Product Owners, Data Scientists, and Engineers, to drive meaningful outcomes. What You'll Do Build trusted relationships with stakeholders at all organisational levels. Interpret and scope innovative ideas into clear, testable hypotheses. Manage the end-to-end journey of multiple POCs, ensuring successful delivery and momentum. Lead the partner selection process and prepare request-for-proposal materials. Actively participate in POC delivery teams, aligning on initiative needs and reporting progress. Support onboarding of partners and team members for seamless delivery. Attend DCI lab meetings, presenting findings and executing elements of the DCI communication strategy. Stay updated on the latest trends in data-driven technologies and AI to identify new business opportunities. What You'll Bring An innovation and growth mindset, with experience driving outcomes in multidisciplinary teams. A knack for interpreting complex business challenges and scoping these into hypotheses for testing. Strong stakeholder management skills, with the ability to engage, excite, and inspire. Hands-on experience in delivering innovation and rapid prototypes. Exceptional storytelling skills, with a passion for creating impactful content (e.g., video editing, insight visualisation). A proactive, strategic thinker with a bias for execution. A commercial mindset, understanding value identification and business opportunities. Are you naturally curious? Do you thrive in fast-paced environments and embrace the unknown? If you have a passion for new technologies and a commitment to driving innovation, we want to hear from you! Why Join Us? Be part of a dynamic team that is leading the charge in data innovation. Engage with diverse teams and enhance your professional growth. Contribute to projects that have a real impact on the organisation and its customers. Ready to embark on this exciting journey? Apply now to join our client as a Data Innovation Business Analyst! Your next adventure awaits! How to Apply: If you're excited about this opportunity and believe you're a great fit, please answer screening questions during application and submit your CV. Candidates will ideally show evidence of the above in their CV 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. 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.

About Ricoh A global leader in digital services, recognised for innovation, sustainability and a people-first culture. We feature in the Gartner Magic Quadrant , are listed in the Global 100 Most Sustainable Companies , and have been named one of Forbes' World's Best Employers 2025 . At Ricoh, we believe people do their best work when they feel valued and supported. We create inclusive workplaces where you can grow, contribute, and make a positive impact while helping to build a more sustainable future. Find your place. Transform your future Our purpose is centred on understanding and improving how people work. By focusing on real working experiences, we support individuals to develop their skills, realise their potential and do work that feels meaningful. People transform when they Love What They Do This belief sits at the heart of The Ricoh Promise. It guides how we recruit, how we support our people, and how we work together every day, creating an environment where you can grow, feel valued and make a difference. When you join us, you are encouraged to share your ideas, challenge the way things are done, and work with others to build something better. If you are looking for a place where your voice is heard, your development is supported, and your work feels meaningful, you will feel at home at Ricoh. Are you a DevOps or Cloud Engineer looking to take your experience into the rapidly evolving world of Enterprise AI? We're looking for a DevOps Engineer - Enterprise AI to help build, configure and operate the platforms and services that enable AI solutions to move from evaluation into secure, scalable and reliable production use. Working as part of our Enterprise AI team, you'll sit at the intersection of DevOps, cloud engineering, AI and MLOps , helping us create the technical foundations that allow AI solutions to be deployed effectively across the organisation. This is a great opportunity for someone with a strong DevOps, cloud, platform or service operations background who wants to develop their expertise within AI and help shape how enterprise AI services are delivered. What you will be doing As our DevOps Engineer for Enterprise AI, you'll work closely with AI specialists, data scientists, software engineers, architects, cyber security teams and technology partners to configure, integrate and operate our AI platforms and services. You'll help establish reusable environments, integrations and deployment processes while ensuring our AI services remain secure, resilient, observable and cost-effective. The role covers both managed and off-the-shelf AI capabilities across cloud and hybrid environments, giving you the opportunity to work with a broad range of technologies while developing expertise in AI platforms, MLOps and responsible AI delivery . What you will be doing Configuring and maintaining secure, scalable environments and services for AI workloads. Building repeatable deployment processes for applications, AI services, models, prompts and configuration. Supporting the integration of cloud, AI and automation services with enterprise systems. Applying DevOps and MLOps principles across testing, release management and controlled deployment. Using automation and scripting to improve deployment, integration and operational processes. Monitoring service performance, availability, reliability, quality, usage and cost. Implementing appropriate identity, access, secrets management and security controls. Supporting incident resolution, troubleshooting and root-cause analysis. Helping establish monitoring, alerting, backup, recovery and service operating procedures. Optimising cloud consumption, platform subscriptions, licensing and capacity. Creating reusable templates, documentation and self-service capabilities for technical teams. Working with security, privacy, risk and compliance colleagues to support responsible and governed use of AI. Collaborating with technology providers and delivery partners to continuously improve our platforms and services. You will ideally have We're looking for someone who brings a strong foundation in DevOps, cloud engineering, platform administration, automation, service operations or MLOps , with an interest in applying those skills to Enterprise AI. Ideally, you'll have: Good knowledge of DevOps principles including source control, testing, release management and deployment processes. Hands-on experience configuring or administering a major cloud or AI platform. Experience working with cloud services including identity, networking, storage, access and managed services. Experience configuring managed or packaged technology services and integrating them with enterprise systems. Knowledge of CI/CD, configuration management and controlled promotion between environments. Scripting or automation experience using Python, shell or equivalent technologies . An understanding of APIs, secrets management, vulnerability management and secure configuration. Experience monitoring production services using logs, metrics and operational data. Strong troubleshooting and root-cause analysis skills. Experience working within multidisciplinary agile, product or engineering teams. Strong communication skills with the ability to explain technical issues, risks and recommendations clearly. Experience with containers, infrastructure as code, MLOps, generative AI services or AI platforms would be particularly beneficial, alongside an understanding of data protection, responsible AI and model governance. A relevant degree or equivalent practical experience is welcomed, while cloud, DevOps, security, service management or platform certifications would be advantageous. In return for your commitment, you can expect At Ricoh, work should feel meaningful, supportive and fulfilling. The Ricoh Promise shapes your experience through four pillars that bring our culture to life. Love to Connect You become part of a global community built on openness, inclusion and genuine collaboration. Across teams, countries and roles, you'll find people who listen, involve and encourage you - helping you feel valued and able to be yourself every day. Love to Grow Your development truly matters to us. With access to learning pathways, mentoring and career opportunities across functions and countries, you'll be supported to stretch your skills, explore new directions and stay future-ready in a changing world. Love to Give Back Purpose is part of how we work. You'll have opportunities to make a difference through volunteering, sustainability initiatives and community programmes that reflect our shared values and commitment to positive impact. Love to Succeed Success at Ricoh is something we pursue together. You'll benefit from fair rewards, flexible working, wellbeing resources and real recognition - including programmes such as the Imagine. Change. Awards, where colleagues celebrate each other's achievements. We are an equal opportunities employer We believe that diverse perspectives make us stronger, and we welcome applications from people of all backgrounds, identities, and experiences. Our hiring decisions are based on skills, experience and potential, and we are committed to creating a fair and inclusive recruitment process. If you require any reasonable adjustments at any stage of the recruitment journey, please let us know and we will support you to bring your best self forward. Ready to love what you do? Apply now and help us shape what comes next.

Location: Crawley, United Kingdom Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services. 2027 Data Science Apprentice - Level 6 Data Scientist Start Date: 06 September 2027 Salary: £24,000 per annum Employee type: Permanent Location: Crawley Working Schedule: Monday - Friday, 37 hours a week (8 hours Monday - Thursday, 5 hours Friday) Are you looking for an exciting opportunity to develop cutting-edge data science skills and solve real-world business challenges? Do you enjoy working with data, uncovering patterns, and using evidence to influence decisions? Are you curious about how artificial intelligence, machine learning, and advanced analytics can help businesses innovate and improve performance? Our Data Scientist Apprenticeship provides an excellent opportunity to launch your career in data science while learning from industry experts within a leading technology company. Benefits of the programme: Earn while you learn with a competitive salary. Gain hands-on, job-specific training and real-world experience. Achieve a recognised professional qualification. Secure a permanent role from the start of your apprenticeship Enjoy fully funded tuition fees on approved training programmes. Learn from experienced professionals and develop skills that will support your long-term career growth. Build valuable experience and develop your career in data science About the Role As a Data Scientist Apprentice, you will be valued for your curiosity, analytical mindset, and passion for solving problems using data. You will work with a variety of datasets, tools, and technologies to identify trends, build predictive models, and generate insights that support business decision-making. Working alongside experienced data professionals, you will learn how to transform raw data into valuable business intelligence and help develop data-driven solutions that create measurable impact . Your responsibilities may include: Identifying business challenges and using data science techniques to recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing of predictive models and analytical solutions. Working with data teams to create data products, dashboards, and insights used across the business. Evaluating model performance and supporting continuous improvement of analytical solutions. What You Will Learn Throughout the apprenticeship, you will gain experience and knowledge in: Data collection, preparation, and management techniques. Statistical methods and hypothesis testing. Programming languages such as Python and SQL. Machine learning concepts and model development. Data visualisation and storytelling techniques. Exploratory and predictive analytics. Artificial Intelligence fundamentals and responsible AI practices. Data governance, ethics, and compliance. Cloud-based analytics and data science platforms. Business and stakeholder engagement skills. Communicating technical findings to both technical and non-technical audiences. Project management and agile ways of working. Apprenticeship Programme You will study towards a Level 6 Data Scientist Apprenticeship with The University of Nottingham. The programme is delivered over 42 months through a blend of: On-campus learning Online study Workplace-based learning You will typically attend university for a minimum of 4 weeks each academic year, delivered in 1-week blocks. On successful completion of the programme and End Point Assessment, you will achieve: A fully funded BSc (Hons) Data Science degree A Level 6 Data Scientist Degree Apprenticeship qualification Entry Requirements To apply, you will need: 3 A levels (BBC) including Maths (Citizenship Skills, General Studies and Critical Thinking are not accepted) Or a Level 4 Data Analyst qualification will be considered on a case-by-case basis GCSEs • Minimum of five GCSEs at Grade 4/C or above (Maths at Grade 5/C or above) Must include English Language and Mathematics Please note that those with a relevant degree will not be eligible for this programme. Benefits Competitive salary of £24,000 per annum Performance-related pay uplifts Holiday entitlement of 201 hours a year (plus a company day and bank holidays) Contributory Company Pension Health Care Cash Plan Hybrid/flexible working options Employee assistance programme Learning and development support Employee discounts and wellbeing initiatives Life Cover 80 Hours Volunteering per year (first two years) Thales Apprentice Recruitment Process 1. Apply Online - submit your application online to register your interest. You only need to register for one role as you will have the opportunity to apply for additional roles at the full application stage. 2. Upload Your CV 3. Check your emails for the invitation to apply - this will comefrom 4. Complete Your Application - follow the link provided in the email to complete your application. You can apply for one primary role and up to 3 additional roles. 5. Complete Online Tests - undertake the online assessments designed to evaluate your suitability for the role. 6. Virtual Assessment Centre - candidates who progress from the online assessment stage will attend a virtual assessment centre, which will include group exercises, and competency-based interviews. 7. Job Offer - successful candidates who perform well throughout the recruitment process will receive a job offer from Thales.undefined For further information about our Future Talent recruitment process, including hints and tips, or to connect with a member of the Future Talent Team, a Graduate, or an Apprentice, please visit Thales Future Talent - Connectr . Please note, assessment centres for shortlisted candidates will be held between February - May 2027. Induction week for all Graduate and Apprentices will take place from Monday 6 September - Friday 10 September 2027. Closing date: Our applications will close at 11.59pm on Wednesday 17 February 2027, this is the only time we will be accepting applications this year. Please note, we will be in contact by the end of February 2027 with details of next steps. PLEASE NOTE THAT ROLES MAY CLOSE EARLIER THAN THE ADVERTISED DEADLINE IF WE RECEIVE A HIGH NUMER OF APPLICATIONS. WE ENCOURAGE YOU TO APPLY AS SOON AS POSSIBLE TO AVOID MISSING OUT ON THIS OPPORTUNITY. Because of the work we do at Thales, all roles are subject to security requirements. To be considered for this position, you must have the permanent right to work in the UK and be able to successfully complete and maintain UK Government security checks, including Baseline Personnel Security Standard (BPSS) screening and Security Clearance (SC), which is a government background check, before starting employment.To be eligible for SC clearance, you will typically need to have lived in the UK continuously for the last five years. As part of the vetting process, you will be asked to provide evidence of your identity, right to work in the UK, any time spent overseas during the last five years, and your employment and/or education history. For further details of the evidence required to apply for security clearance please follow this link - At Thales, we ensure equal opportunities, pay and working conditions for all. The benefits we offer include private medical insurance, buying or selling annual leave, cycle to work schemes, employee discounts, paid volunteering day, stocks and shares, annual bonus and much more depending on the role. Read more about our benefits here. We are committed to creating a workplace where everyone feels valued for who they are and the unique strengths they bring. Discover more about our programmes, employee networks, wellbeing policies, and inclusive features here. If this role isn't quite right for you, we encourage you to join our talent community where your details will be shared with our recruitment teams for other potential opportunities. Join the Talent Community here. Join Thales in the UK - Innovate with us and shape the future!

Description We're looking for a highly skilled Forward Deployed Agentic AI Engineer to join our Health, Wealth & Career (HWC) segment-where you'll design and deliver cutting-edge Agentic AI solutions that solve complex, real-world business challenges and shape the future of work. This is a hands-on, high-impact role where you'll move beyond traditional development-partnering closely with stakeholders to translate ambiguous needs into scalable, AI-powered solutions that drive measurable value. You'll own the full lifecycle-from architecture and build through to deployment and adoption-embedding AI into real workflows, integrating enterprise systems, and ensuring solutions are secure, reliable, and truly user-centric. Sitting close to the business, you'll continuously refine solutions to maximise impact, efficiency, and adoption. Why join us? At WTW, you'll be part of our Health, Wealth & Career (HWC) segment-where we use data, technology, and deep expertise to shape the future of work. You'll collaborate across multiple lines of business-such as Retirement, Health & Benefits, and Workforce Strategy-gaining exposure to diverse challenges and opportunities. As the role evolves, you'll also help deliver innovative, AI-driven solutions directly to external clients, turning complex problems into scalable outcomes. Together, we're creating more resilient, high-performing organizations-enhancing wellbeing, enabling better decisions, and driving sustainable business success at scale. This is a hybrid role, with the flexibility of remote working alongside occasional time in the office to build strong relationships and collaborate effectively with stakeholders. The Role We are looking an experienced Lead Engineer or Technical Lead with a strong enterprise engineering background and a passion for building and deploying agentic AI solutions that solve real-world business challenges. You will bring deep expertise across modern full-stack technologies, distributed systems, cloud-native architectures, and observability, combined with hands-on experience developing enterprise-grade AI applications. You will design, build, and deploy intelligent AI agents, copilots, and automation solutions using Anthropic Claude, large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP), and agent orchestration frameworks. Experience developing multi-agent workflows, integrating AI solutions with enterprise systems, and taking solutions from proof of concept to production at scale will be highly valued. Acting as a bridge between business and technology, you will work closely with product, data science, architecture, and engineering teams to identify opportunities, solve complex challenges, and deliver measurable business outcomes. As a technical leader, you will mentor engineers, influence architecture decisions, resolve production challenges, and help shape how agentic AI is adopted and scaled across the organisation, transforming innovative prototypes into secure, reliable, and enterprise-grade solutions. AI solution delivery: Design and build AI-enabled applications, copilots, agents, extraction pipelines, prediction interfaces, and decision-support tools using foundation models, retrieval-augmented generation, structured outputs, and orchestration frameworks. Forward deployed problem solving : Work directly with business teams, product owners, clients, or operational users to understand real workflows, constraints, data quality issues, and adoption barriers, then translate these into working technical solutions. LLM and agent engineering: Build and tune LLM workflows, prompt strategies, schema-driven extraction, tool-calling patterns, agent orchestration, evaluation loops, and human-in-the-loop controls. Enterprise integration: Integrate AI solutions with enterprise systems, APIs, data platforms, document repositories, workflow tools, observability platforms, and identity and access management services. Production engineering: Ensure AI solutions meet enterprise standards for reliability, scalability, latency, maintainability, cost control, logging, monitoring, and operational support. Evaluation and quality assurance: Create evaluation datasets, test harnesses, validation tools, regression checks, and quality review workflows to measure accuracy, extraction quality, hallucination risk, and business usefulness. Architecture and technical leadership: Define solution architecture, engineering standards, reusable patterns, and implementation approaches for AI-enabled platforms and services. Data and knowledge readiness: Work with engineering, data, and business teams to prepare structured and unstructured data, improve metadata, design retrieval strategies, and identify gaps in source content. Security, privacy, and governance: Embed access controls, audit logging, data protection, responsible AI controls, security review, and compliance requirements into the AI delivery lifecycle. Adoption and enablement: Support users through demos, pilots, training, feedback loops, documentation, and iterative improvement so that deployed AI solutions create measurable business value. Qualifications What you'll bring Significant professional experience in software engineering, technical leadership, solutions architecture, or platform engineering, ideally in enterprise-scale environments. Proven ability to design and deliver production applications using modern engineering practices, including APIs, distributed systems, microservices, automated testing, CI/CD, observability, and cloud platforms. Must have experience building and deploying agentic AI solutions using platforms such as Anthropic Claude, including AI agents, tool orchestration, reasoning workflows, Model Context Protocol (MCP), and enterprise-scale automation use cases. Hands-on experience building AI-enabled systems, such as LLM pipelines, document extraction, structured output generation, AI-assisted analytics, prediction interfaces, or agentic workflows. Experience working with business-critical systems where reliability, maintainability, operational support, and measurable business impact are essential. Experience collaborating with data scientists, product managers, QA teams, architects, security teams, and senior stakeholders. Track record of mentoring engineers, leading technical delivery, establishing engineering standards, and influencing teams beyond direct line management. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email

MORELA Application Developer AI Applications & Power BI Holborn, London Morela is proud to be supporting a London-based AI analytics business in the search for an Application Developer. This is a permanent role based at the client s office in Holborn, Central London, four days a week (Monday to Thursday), with a salary of £75,000 plus benefits. Candidates must have the right to work in the UK. About the Client Our client runs an AI customer growth platform that helps some of the UK s best-known consumer brands get far more value from their first-party customer data. Their clients include household-name retailers and financial services businesses with customer bases running into the millions. The platform shows where growth in a customer base is coming from, where it is going, where it is leaking and which behaviours drive it, then projects that forward. Boards get a forward-looking view of their customers instead of a historic one, and can test interventions against it. It has grown into a management system for customer value growth, sitting in the gap between high-level strategy consultancies and marketing-led CRM firms. The business is founder-funded and has built its platform with a deliberately lean, senior team. It is now investing in the people and practices to scale, including a move to forward-deployed implementation teams from next year. It is a genuine chance to join early and shape how the business grows. The Role This is a priority hire. The client is moving its product from Power BI dashboards to AI-enabled web applications, and this role sits right at the centre of that shift. You will keep existing Power BI deployments running smoothly for current clients while building the new application layer that replaces them, then help migrate those clients across. Alongside the build work, you will work directly with client technical and security teams to get the platform deployed in their environments. Responsibilities Maintain and enhance existing Power BI reports and models, including DAX, for current clients during the migration. Design and build the new web application presentation layer for the platform. Use modern AI tooling and integrate with the agents the business is building into its product. Plan and deliver client migrations from Power BI to the new applications. Work with client IT and security teams on infrastructure requirements, security reviews and DPIA sign-off to deploy the platform in their environment. Get client data flowing into the platform so insight can be presented back to them. Work closely with the data scientists and engineers to turn models and data into applications clients use every day. Essential Requirements Strong hands-on Power BI experience, including DAX and data modelling. Commercial experience building web applications (front end and back end). Practical experience with current AI and LLM tooling, and an interest in agent-based applications. Comfortable in client-facing technical conversations, including with IT and security stakeholders. Able to balance supporting live clients with building new product. Desirable Experience Experience migrating clients or users from BI tools to bespoke applications. Experience deploying software into client-hosted or enterprise cloud environments. Knowledge of data security, privacy and DPIA processes. Experience in a forward-deployed, consultancy or solutions engineering role. Experience with customer, marketing or CRM data. Working Environment You will be based in Holborn four days a week, Monday to Thursday, as part of a small, senior team with direct access to leadership. Clients are currently supported mainly remotely, with on-site visits when needed, and the business plans to move to forward-deployed implementation teams from next year. It is a hands-on role where your work is visible and shapes the product.

Senior Energy Analyst - Integrated Modelling / Modelling Architecture Location: Warwickshire/ Hybrid Contract: Initial 6-Month Contract IR35: Inside IR35 (via Umbrella) Rate: Competitive Market Rates The Opportunity We're seeking an experienced Senior Analyst - Integrated Modelling / Modelling Architecture to play a key role in shaping and building the next generation of whole energy system forecasting capabilities. This is not a traditional modelling role focused solely on creating forecasts or running established models. Instead, you'll be responsible for helping design and implement the underlying architecture that enables multiple forecasting and simulation models to operate as an integrated system. You'll work at the intersection of energy systems modelling, software development, platform design, and technical architecture, helping establish a scalable modelling environment capable of supporting complex energy system decision-making. What You'll Be Doing Design and develop an integrated modelling architecture from the ground up. Connect multiple forecasting, simulation and analytical models into a cohesive ecosystem. Build frameworks that enable models to exchange data and interact effectively. Develop and maintain Python-based modelling solutions and workflows. Help define the technical platform and infrastructure required to support integrated modelling. Collaborate with analysts, data scientists, modellers and technical stakeholders. Drive best practice in model development, integration, automation and governance. Support the evolution of whole energy system forecasting capabilities. What We're Looking For We're particularly interested in candidates who have previously: Designed or implemented modelling architecture and frameworks. Built integrated modelling environments from scratch. Connected previously separate models into a unified platform. Developed solutions enabling data exchange and communication between models. Created modelling capability, infrastructure or tooling rather than simply operating existing models. Worked with complex forecasting, simulation or energy system models. Played a leading role in technical modelling transformation programmes. Written production-quality code as part of modelling solutions. Essential Skills & Experience Strong hands-on Python development experience. Experience designing and implementing integrated modelling solutions. Knowledge of model orchestration, workflow design and system integration. Experience building modelling platforms, frameworks or simulation environments. Understanding of software engineering principles within scientific or analytical environments. Ability to work across technical and non-technical stakeholder groups. Excellent problem-solving and architecture design skills. Highly Desirable Experience with Databricks. Energy systems, electricity, gas, utilities or renewables sector experience. Whole energy systems modelling experience. Scientific computing or simulation engineering background. Experience with cloud-based modelling environments. Forecasting, optimisation or decision-support modelling expertise. Why Apply? This is a unique opportunity to influence the design of a strategically important modelling capability at an early stage. You'll help define how multiple complex energy models are brought together, creating the architecture, tooling and integration layers that underpin future forecasting and planning activities.

Senior Software Engineer, C# .NET If building software that carries real-world monitoring data all the way from the sensor to the screen sounds like something that you would like to be a part of, then this might be your next position. A Senior Software Engineer vacancy has just opened at a company developing remote monitoring systems used in a number of sectors worldwide, including renewable energy. You will be working on a range of .NET applications, both standalone and web based, that securely transmit time-series data from acquisition devices to the cloud or directly to customer networks. There are also applications for processing and analysing that data, along with the user interfaces and data visualisations that sit on top. These are deployed across a range of operating systems, often as containers running in the cloud. You will be a core part of an agile development team, working closely with the Software Manager, test and systems engineers and data scientists, taking ownership of the software platform and mentoring other developers as needed. The ideal candidate will have strong C# experience in a .NET environment using WPF, in addition to ASP.NET Core front and back-end web development using Razor, Blazor or similar. Experience of implementing REST API client and server interfaces is a must, along with a basic understanding of TCP/IP networking and some familiarity with Docker. This is a full time, permanent position based at their site in Wokingham. Required: Strong C# .NET, including WPF ASP.NET Core web development (Razor, Blazor or similar) REST APIs, TCP/IP networking and some Docker Desirable: MQTT, OPC-UA or Modbus Position: Senior Software Engineer Location: Wokingham Skills: C#, .NET, WPF, ASP.NET Core, Blazor, REST API, Docker

Are you passionate about using data science to solve complex pricing challenges? A well-established global insurance provider is looking for a Senior Pricing Analyst or Pricing Lead to join its supportive Risk Pricing team, where you will directly influence pricing decisions, growth and profitability. It's a role with real scope to use modern techniques, and the team will invest in your development from day one. Location: Based in central London, this hybrid role only needs you in the office one day a month, so it's commutable from a wide area including Milton Keynes, Northampton, Reading, Oxford and even Bristol ! Salary: up to £60,000 at Senior Analyst level or up to £75,000 at Pricing Lead level Benefits: Private Medical Cover, Life Assurance x 4 base salary, Income Protection, 24 Days holiday, increasing with length of service, plus birthday off plus the option to buy extra holiday What you'll be doing • Building and improving risk pricing models using GLMs and more advanced machine learning techniques • Driving R&D and feature engineering to keep raising the sophistication of the team's models • Monitoring expected loss ratios, risk mix and pricing assumptions, and turning findings into clear, actionable insight for the market pricing team • Helping shape the processes and documentation that keep pricing outputs accurate and transparent What you need to bring • Experience in general insurance pricing, ideally personal lines • Strong analytical skills with large, complex datasets, using tools such as Python, R, SQL or SAS • Great attention to detail and a track record of hitting deadlines • Confident stakeholder management and the ability to explain technical work clearly Experience with Emblem, Radar, Excel VBA or similar pricing software would be advantageous, as would knowledge of machine learning techniques and pricing optimisation. Why you'll love this job • A team of experienced pricing specialists who make training and supporting new joiners a priority • Genuine room to experiment with new modelling techniques and see your work influence real business decisions • A competitive salary plus 24 days holiday plus your birthday off, private health cover, life assurance and a range of other benefits If you're an experienced Senior Pricing Analyst, Insurance Pricing Analyst, Pricing Data Scientist, Pricing Modelling Analyst or Insurance Pricing Specialist looking to make a real impact, apply today!

The Data Scientist will help transform manufacturing and product data into meaningful insights that improve quality, performance and decision-making. Working closely with engineering, manufacturing and digital teams, you will apply analytics, statistical modelling and machine learning techniques to solve complex engineering challenges. The Data Scientist will: Analyse manufacturing, quality and product performance data to identify trends and improvement opportunities. Develop analytical models, dashboards and reporting tools. Apply statistical and machine learning techniques to support engineering decisions. Define data and reporting requirements with engineering and digital teams. Support simulation and modelling activities using real-world data. Present findings and recommendations to technical and non-technical stakeholders. The Data Scientist will have: An MSc, MEng or equivalent qualification in an Engineering, Science or Data-related discipline. Experience analysing manufacturing, operational or quality datasets. Strong programming skills in Python, Java or similar. Experience with SQL databases and data visualisation tools. Knowledge of statistical analysis, data modelling and machine learning. Strong communication and problem-solving skills. This is an excellent opportunity for someone who enjoys turning complex data into practical engineering solutions, helping drive product and manufacturing performance within an innovative environment. Apply with a copy of your up-to-date CV and we will be in touch to provide more details shortly!