325 Data Scientist jobs

Job Title: AWS Solution Architect Locations: Manchester Salary:?Competitive salary and package dependent on experience Career Level:Associate Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." -?Julie Sweet, Accenture CEO As a team: We are one of the world's leading providers of Cloud Solutions.?You'll work on innovative projects with colleagues?to drive collaboration from strategy through to implementation. You will be using the latest technologies with clients to help them get to the next level. You'll learn, grow and advance in an innovative culture that?thrives on shared success, diverse ways of thinking and enables boundary less opportunities?that can?drive your career in new and exciting ways If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you.?As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.? In our team you will: Work for tier-1 clients across industry sectors - helping them turn their cloud strategy into reality.? Help design and deliver transformative cloud solutions - from migrating legacy applications onto Cloud, to building innovative, new cloud-native applications. Continue to learn and grow - we actively encourage and support continuous learning and certification. Serve as a cloud evangelist, educating customers on the value Cloud computing can bring to transform their business. ? In your role, you will: Design, implement scalable, secure, and high-performing cloud solutions that power AI initiatives. Design and support cloud-native architectures Optimize cloud costs and performance for AI workloads, including GPU-based instances and serverless computing. Develop and maintain cloud infrastructure architecture, standards, and best practices. Provide technical guidance to the development team on cloud-related issues. Ensure optimal performance, security, and scalability of the cloud infrastructure. Lead and execute large end-to-end cloud migration projects. Implement and maintain cloud security measures to protect against unauthorized access and data breaches. Collaborate with data scientists, ML engineers, and software developers to deploy ML models and pipelines in production environments. Evaluate and recommend new Cloud services and features to improve the efficiency and effectiveness of the cloud infrastructure.

Senior Product Data Scientist - Up to £85k + Benefits London (Hybrid) A major consumer marketplace is hiring a Senior Product Data Scientist to lead analytics and experimentation across a high-impact product area. You'll work closely with Product, Engineering and ML teams, owning technical discovery, shaping strategy, and driving experimentation at scale. What you'll do Lead analytics for a core product vertical Own technical discovery and experimentation frameworks Design, run and deeply analyse A/B tests (3-5 per quarter) Mentor other analysts (no line management) Influence product & business strategy end-to-end Enable scalable, self-serve analytics What you'll bring Strong SQL (daily use) Python experience (nice to have) BI tools (Looker/PowerBI/Tableau) Experience with Optimizely or similar testing platforms Excellent communication + stakeholder influence Hands-on, highly technical, commercially minded Why apply? Up to £85k base 1 day a week in a modern London office Outstanding benefits Perfect for someone who wants technical depth, strategic influence and high ownership-without people management. Find out more and apply via the link below.

Robert Half Technology are assisting a market leading real estate organisation to recruit a Data Engineer on a contract basis - Hybrid Working - London based - Outside IR35 In this role, you will manage and optimise the data infrastructure, driving insights and supporting our decision-making processes. Your expertise will be crucial in contributing to our organisation's data-driven success. As a key member of our team, you will have the opportunity to work on exciting projects and make a significant impact on our business Role The Data Engineer will design, develop, and maintain data infrastructure to ensure reliability, scalability, and performance. Collaborate with data scientists and analysts to fulfil their data requirements and support their work. Collect and process datasets from various sources, ensuring data quality and integrity. Implement efficient data models and schemas for storage and retrieval. Optimise data processes for improved performance and efficiency. Troubleshoot and resolve data pipeline issues swiftly and effectively. Keep abreast of industry trends and emerging technologies in data engineering, and continuously improve your skills and knowledge. Profile The Data Engineer will demonstrated experience as a Data Engineer, with a strong track record of success. Mastery of data management and processing tools, including Power BI, Data Factory, Databricks, SQL Server, and Oracle. Proficient in SQL and experienced in database administration. Familiarity with cloud platforms such as Azure and AWS. Excellent problem-solving and analytical skills, with strong attention to detail. Strong communication and collaboration abilities, with the ability to work effectively in a team environment. Company Rapidly growing real estate organisation Hybrid working - 2/3 day per week onsite Outside IR35 Salary & Benefits The salary range/rates of pay is dependent upon your experience, qualifications or training . Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: gb/en/privacy-notice.

Data Engineer (Azure & Databricks) Location: London (Hybrid - 2 days in office) Salary: £65,000 + Benefits Level: Mid-Level About the Role: We're looking for a talented Data Engineer to join a leading consultancy and work on cutting-edge data solutions for global clients. You'll design and build scalable data pipelines using Azure and Databricks, ensuring high-quality, reliable data delivery for advanced analytics and AI initiatives. Key Responsibilities: Develop and optimize data pipelines on Azure and Databricks Collaborate with data scientists and analysts to deliver actionable insights Implement best practices for data governance and security Work in a hybrid setup (2 days per week in our London office) What We're Looking For: Strong experience with Azure Data Services (Data Factory, Synapse, etc.) Hands-on expertise with Databricks and Python Solid understanding of ETL processes and data modelling Excellent problem-solving and communication skills Benefits: Work on high-impact projects with top-tier clients Competitive salary of £65,000 plus benefits Hybrid flexibility and career development opportunities Upskilling opportunities through paid for certifications If you are a driven and skilled Data Engineer looking to make a significant impact, we encourage you to apply for this exciting opportunity. Your expertise will play a crucial role in shaping innovative data solutions within our team.

Tableau Developer/Engineer £500/day Outside IR-35 Contract until the end of the financial year (March 26) Start ASAP Active SC required Key Responsibilities Dashboard Development: Design and build interactive Tableau dashboards and reports to provide actionable insights for stakeholders. Data Engineering: Develop and maintain robust data pipelines, ensuring data integrity, scalability, and performance across multiple sources. Data Integration: Work with structured and unstructured data from various internal and external systems, applying ETL best practices. Collaboration: Partner with analysts, data scientists, and business teams to understand requirements and deliver high-quality solutions. Performance Optimisation: Monitor and tune Tableau Server performance, ensuring efficient query execution and user experience. Governance & Security: Implement data governance standards and ensure compliance with Home Office security protocols. Essential Skills & Experience Proven experience in Tableau development (Desktop and Server) with strong visualisation and storytelling skills. Solid background in data engineering, including ETL processes and data pipeline development. Proficiency in SQL and experience with relational databases (e.g., Oracle, PostgreSQL, SQL Server). Familiarity with cloud platforms (AWS, Azure, or GCP) and data warehousing solutions. Strong understanding of data modelling, performance tuning, and best practices. Excellent communication skills and ability to work in a fast-paced, collaborative environment. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

Job Description: Data Engineer (with Tableau Specialism) Responsibilities: Design, develop, and manage data models, schemas, and metadata to support advanced analytics and reporting requirements. Work closely with Data Analysts, Data Scientists, and Business Analysts to ensure data availability, accessibility, and usability across the organisation. Implement data quality checks, validation routines, and monitoring processes to maintain data integrity and reliability. Optimise data workflows for performance, cost-efficiency, and maintainability using tools such as Azure Data Factory, AWS Data Pipeline, Databricks, or Apache Spark . Integrate and prepare data for Tableau dashboards and reports , ensuring optimal performance and alignment with business needs. Collaborate with visualisation teams to develop, maintain, and enhance Tableau data sources (including Extracts, Hyper files, and live connections) and to support self-service analytics. Ensure compliance with data governance, security, and privacy policies , maintaining adherence to organisational standards. Document data architecture, pipelines, and Tableau data models to promote transparency, maintainability, and knowledge sharing. Contribute to the development of a modern, scalable data platform that supports both real-time and batch data processing. Champion best practices in Tableau data design , including performance tuning, data source optimisation, and dashboard scalability. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

Data Scientist (Networking Focus) Salary: £70,000 - £75,000 Fully remote We're looking for a Data Scientist who truly understands how the internet works - not just someone who can analyse data, but someone who knows what's happening under the hood. You'll be joining a Join a pioneering start-up turning raw network data into real insight - mapping how the internet behaves in the wild and using that knowledge to build the next generation of secure, intelligent connectivity. If you can talk confidently about IPs, DNS, routing, and browsers - and you're just as comfortable writing complex SQL queries or Python scripts - this is the role for you. About the Role You'll be working with terabytes of raw network intelligence data - IP addresses, browser metadata, connection logs, and more - to uncover insights that help build out our products in new and detailed ways. This role sits at the intersection of data science and network research. You'll be responsible for: Working with massive, complex datasets using BigQuery in GCP . Writing efficient SQL and Python to clean, join and analyse data. Understanding how internet traffic, protocols, and data flows translate into meaningful patterns. Collaborating with researchers to make sense of raw network data and identify trends or anomalies. This is not a standard data science position. You'll need to understand how the internet actually functions - from the 7-layer OSI model through to how browsers and IP routing behave in the real world. What We're Looking For Essential: Strong background in Python and SQL (BigQuery experience ideal). Solid understanding of networking fundamentals - TCP/IP, DNS, HTTP, routing, IP addressing, etc. Experience handling and analysing large-scale datasets . Background in network engineering , cyber security , or computer science . A genuine interest in how the internet works at a deep technical level. You'll have access to vast datasets and the freedom to explore them - finding patterns and building insights that no one else has seen before. If you're excited by the scale and complexity of the internet, and love making sense of huge amounts of data, we'd love to hear from you. Apply now if this sounds like you! Data Science, Data Scientist, Python, SQL, Network, Data Scientist, Networks, Internet, Data Scientist, BigQuery, 7 layer OSI, Computer Science, Data Scientist, Network Engineer, Network Engineering, Network Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter and LinkedIn - Circle Recruitment.

Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support financial and strategic planning.This role combines technical expertise with leadership responsibilities, including mentoring analysts and engineers, translating insights into actionable recommendations, and ensuring data science practices align with organisational goals. Key Responsibilities Customer Insights: Build churn prediction models, apply clustering and segmentation, and use NLP for sentiment analysis to improve service quality and retention strategies. Operational Performance: Develop forecasting models for network demand, implement anomaly detection for outages and latency, and create predictive maintenance solutions to reduce downtime. Efficiency & Planning: Optimise field operations through predictive scheduling and route planning, support inventory forecasting, and identify fraudulent or abusive usage patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support network planning, operational assessments, and customer analysis. Data Science Leadership: Mentor team members, present insights clearly to technical and non-technical audiences, and ensure best practices in analytical workflows. Technical Delivery: Engineer and optimise analytical and spatial SQL, build feature enrichment pipelines, develop and evaluate ML models, and package outputs for deployment. What You'll Need to Succeed Strong experience in applied machine learning (regression, tree ensembles, experiment design). Advanced proficiency in Python and SQL, with experience in spatial SQL and PostGIS. Familiarity with spatial tools and libraries (GeoPandas, QGIS) and feature engineering concepts. Experience with data modelling, dbt, and version control (Git). Knowledge of spatial datasets (MasterMap, AddressBase, Land Registry). Desired: Experience with WMS/WFS services, graph theory (NetworkX), GDAL, and Snowflake. Nice to have: CI/CD and orchestration tools (Airflow, Argo CD), Mapbox/MapLibre, Scala, Streamlit, DuckDB, and Power BI. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Head of Data - Data Architecture, Data Strategy/Governance, Data Science/Analysis/Engineering; frameworks, data operating model (TOM), compliance, risk, automation; management information (MI) reporting, PowerBI, SQL, ADF, Azure Data Warehousing / Data Lakes. Permanent, London / Hybrid (3/2) c.£150k (Negotiable) +Bonus +Benefits Global organisation seeks Head of Data to lead strategy around data architecture, data governance, platform enhancement and MI reporting development across all systems which support business decisions and improve operations. Working in a senior level capacity, initially within an individual contributors role (initially) the Head of Data will undertake a number of strategic and tactical duties including: Developing data initiatives in line with wider business strategy Engage with senior business leaders and technology management to design a Target Data Operating Model Develop the firms AI / NLP strategy, roadmap and capability utilising emerging data science approaches where applicable Optimise existing technology to support / develop the ongoing data architecture roadmap in relation to business operations Enhance the Management Information Reporting Dashboard / DV landscape defining standards and improving output in a variety of products, albeit with a strong focus on PowerBI / Power Automate and the broader Microsoft stack Lead governance processes for data access and stewardship (inc regulatory compliance aspects) and build out the function collaborating with IT security teams / CISO where appropriate Build out and lead a multi-disciplinary team of data focussed personnel We seek a senior level Data Manager with significant experience engaging with C-Level execs who possess a range of hands-on, tactical and strategic skills and experience including: Extensive experience in developing data strategy, governance, architecture and data integration Enhancement of data orchestration across all relevant systems (Sharepoint/MSFT Stack, CRM, Finance, HRIS, various industry specific Commercial/Business Systems - relevant to your background) in order to meet the needs of the strategic data roadmap Experience of identifying and selecting appropriate reporting platforms and tools and background in hands-on development of platforms/dashboards inc SQL, ADF, PowerBI etc Management and leadership of multi-disciplinary teams within data - Data Science, Data Analysis, Engineering/ETL, Data Visualisation Experience of developing and, critically, delivering AI / NLP / ML and predictive analytics capability within commercial environments. Experience of ensuring that all data-related activities comply with regulatory industry standards An ability to influence across all departments at the most senior level of a global organisation We are open to receiving applications from across a broad range of industries including Professional Services, Legal Services, Financial Services or Consultancy inc Deloitte, PwC, KMPG, Accenture, EY, McKinsey & Company etc albeit with significant experience gained inhouse developing, implementing and delivering a data strategy over a number of years. You may have been working as a Head of Data, Lead Data Scientist, Chief Data Officer, Data Engineering Manager or Lead (Senior) Data Analyst but we are open to discussion based on experience. You will possess exceptional communication skills and have the commercial acumen to be able to influence at the most senior level of this global organisation utilising experience working in similar inhouse / clientside environments (experience previously in consulting would be valuable in addition to this inhouse experience). Excellent opportunity to develop data strategy combining advanced analytics with business intelligence, and lead the enhancement of enterprise-wide data solutions across a global organisation.

Econometrician / Statistician - Global Research & Insights - 3 Month FTC Use data to tell the story of global wealth. We're looking for an econometrician or statistician with a curious mind and a passion for uncovering patterns in complex data to join a market-leading global research team . This is a unique chance to work on a flagship international project that shapes how the world understands wealth, opportunity, and economic change. In this role, you'll take the lead on building, refining, and maintaining a proprietary global wealth model -the foundation for one of the world's most respected research publications. You'll apply your expertise in econometrics and statistical analysis to bring data to life, identifying trends that influence major decisions in business, policy, and investment. You'll be part of a collaborative, forward-thinking analytics team that values creativity, rigour, and independence. Every day, you'll work with global datasets, perform in-depth econometric modelling, and create clear, compelling outputs that help audiences make sense of an ever-changing world. What you'll be doing Lead the development and enhancement of a proprietary wealth sizing model. Conduct sophisticated econometric analysis using international datasets. Source, clean, and validate large, complex data from multiple countries. Turn analysis into clear insights through reports, dashboards, and visualisations. Collaborate with data scientists, engineers, and researchers to deliver impactful, data-driven projects. What we're looking for Strong background in econometrics, applied statistics, or quantitative economics. Solid experience in regression-based modelling and statistical distributions. Confidence working independently with minimal supervision. Skilled in identifying and sourcing data from global and national sources. Excellent communication skills with the ability to translate analysis into clear narratives. A proactive, curious mindset and a passion for problem-solving with data. The details Contract: Short-term Location: Central London Team: Global Research & Analytics, reporting to the Head of Data Science Why this role? This is more than a data role - it's a chance to shape global understanding . You'll be working at the cutting edge of economic insight, contributing to a project read by leaders and influencers around the world. If you're passionate about data, storytelling, and impact, this is your opportunity to make your mark.

Senior Data Scientist - Asset Risk Modelling London - Hybrid, 3 days in office£85,000 - £90,000 + Bonus + Great Pension + Private Healthcare + 28 days Holiday + Hybrid Working This is a brilliant opportunity for a Senior Data Scientist with strong experience in model risk management, pricing, and insurance to join a market-leading organisation during a key period of growth and innovation.The Asset Risk function is responsible for forecasting key financial risks such as Residual Value, SMR, Insurance Lease Pricing, Economic Capital, and Customer Pricing. As part of their continued expansion, they are now seeking a talented Senior Data Scientist to join the Asset Risk Modelling Team and help shape the future of their modelling capabilities.In this role, you will take ownership of developing, maintaining, and enhancing advanced forecasting and pricing models that underpin critical business decisions. Working closely with the Modelling Manager and wider stakeholders, you'll ensure the robustness and transparency of all models, while continuously improving methodologies, data use, and analytical processes. You will also play a key role in delivering the model risk management framework across the Asset Risk function.The ideal candidate will be an experienced Data Scientist/Quantitative Modeller with a strong technical background in Python, R, or similar tools, and proven experience in model development within pricing, insurance, or financial risk. You'll combine deep technical expertise with strong business understanding, communicating insights effectively to both technical and non-technical audiences.A fantastic opportunity to join a forward-thinking organisation where you'll have genuine influence, work on high-impact projects, and develop your career within a collaborative and progressive environment. The Role: Develop, implement, and maintain advanced statistical and machine learning models for pricing and risk forecasting Support the delivery and enhancement of the model risk management framework within the Asset Risk function Collaborate with business SMEs to align model outputs with strategic objectives and ensure transparency in assumptions and methodologies Provide technical guidance on data, modelling techniques, and analytical best practices Lead the continuous improvement of modelling tools, documentation, and governance standards Work closely with cross-functional teams across Asset Risk, Product, and Data to ensure consistent and efficient delivery The Person: Proven experience as a Senior Data Scientist, Risk Modeller, or similar role Strong technical skills in Python, R, or equivalent for statistical modelling and forecasting Experience within insurance, pricing, or financial risk environments Excellent understanding of model risk management principles and governance Strong communication skills with the ability to explain technical outputs to senior stakeholders Comfortable working in a hybrid model, 3 days per week in the London office

Senior Data Engineer - Burton on Trent £64-67k x1 day per week on-site (Sponsorship is not provided for this opportunity) As a Senior Data Engineer, you will lead the development and optimisation of our customers Azure-based data platform, ensuring efficient, secure, and high-performing data services. You'll design scalable pipelines and data models, champion data governance and best practices, and drive continuous improvement to enhance data quality and accessibility across the business. Key Responsibilities Data Engineering: Design, build, and maintain Azure data pipelines using Data Factory, Databricks, and related services. Data Architecture: Develop and optimise scalable data models, warehouses, and lakes (Azure Synapse, Data Lake Storage). Governance & Security: Enforce compliance and data protection standards (GDPR, DPA) through robust security and governance practices. Automation: Implement CI/CD pipelines and Infrastructure as Code (Terraform, Bicep, ARM) via Azure DevOps. Performance & Monitoring: Optimise data systems for cost, performance, and reliability; proactively resolve platform issues. Collaboration: Work closely with analysts and data scientists, mentoring junior engineers and promoting best practices. Innovation: Explore new Azure technologies to enhance platform capabilities and analytics. Documentation: Maintain clear technical documentation and share knowledge across teams. Skills & Experience Expert in Azure Databricks (Unity Catalog, DLT, cluster management). Strong experience with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, Event Hubs. Proficient in Python, Scala, C#, .NET, and SQL (T-SQL). Skilled in data modelling, quality, and metadata management. Experience with CI/CD and Infrastructure as Code using Azure DevOps and Terraform. Strong analytical, communication, and stakeholder engagement skills. Exposure to machine learning engineering is desirable. Interested? Please submit your updated CV to for consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy

Data Engineering Manager - Central Manchester - Salary £90,000 + Bonus The Company: Lorien are working with a client who put technology is at the heart of operations. As they continue to invest heavily in data capabilities, we're looking for a Data Engineering Manager to lead a high-performing team and shape the future of their data platform. The Role: This is a strategic leadership role responsible for driving the design, development, and delivery of a scalable and robust data platform. You'll manage and mentor a team of data engineers, ensuring the platform supports business intelligence, analytics, and machine learning initiatives across the organisation.You'll work closely with product managers, data scientists, and senior stakeholders to translate business needs into technical solutions, while championing best practices in data governance, security, and performance. The Skill Requirements: We're looking for candidates with a blend of the following: Proven experience in data engineering, with 2+ years in a technical leadership or management role Strong technical proficiency in data modelling, data warehousing, and distributed systems Hands-on experience with cloud data services (AWS Redshift, Glue, EMR or equivalent) Solid programming skills in Python and SQL Familiarity with DevOps practices (CI/CD, Infrastructure as Code - e.g., Terraform) Excellent communication skills with both technical and non-technical audiences Experience with Agile/Scrum methodologies and managing engineering project lifecycles The Benefits: Salary up to £90,000 Company bonus scheme Hybrid working from central Manchester (2 days in the office per week) Flexible working hours 25 days annual leave plus bank holidays This is a fantastic opportunity to join a company investing heavily in its data transformation journey. Interviews will be taking place over the coming weeks - submit your CV to be considered. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

Title: Data Scientist - AI Client: Home Office Rate: Up to £520 Contract: Inside IR35 Clearance: Active SC Clearance required (minimum 5 years' UK residency) We're seeking a skilled Data Scientist with AI experience to join a high-profile rogramme within a Central Government agency, working on advanced data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, Natural Language Processing, and Large Language Models (LLMs) within a secure environment. Key Skills & Experience: Proven experience as a Data Scientist , ideally in a government or large-scale enterprise environment. Strong Python programming skills, including experience with data science and AI/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI services). Ability to handle, process, and analyse large, complex datasets. Strong understanding of data ethics, governance, and responsible AI principles. Must have SC Clearance and 5 years' continuous UK residency . Desirable: Experience with MLOps or deploying ML models into production. Familiarity with data engineering workflows and pipelines. Knowledge of working in a secure or public sector environment. If you believe your experience is in line with the requirements for this role, get in touch with me to discuss further Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

Akkodis is partnering with a reputable client in Finance and they are looking for a Data Engineer with strong Databricks experience to expand their IT Team. They are currently improving their CX transformation programme and making changes to their institutional reporting suite. Job title: Data Engineer - Data BricksSTART :ASAPLocation: Liverpool Street - 3 days a eek (NON Negotiable), the rest WFHDuration: 3 months rolling contractType of contract : Freelance, Inside IR35Level: mid-Senior Duties and Tasks: Develop and optimize data pipelines using Databricks and Spark.Design and implement data models and ETL processes in Snowflake.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.Ensure data quality, integrity, and security across platforms.Monitor and troubleshoot data workflows and performance issues. Requirements: Proven experience with Databricks and Snowflake.Strong proficiency in SQL and Python.Extract Load Transform procedures, Data Lineage & Analysis.Familiarity with cloud platforms (e.g., Azure, AWS, or GCP).Experience with CI/CD and version control tools (e.g., Git).Excellent problem-solving and communication skills. Nice to have: Financial data knowledge on funds, securities, positions, trades and background in Asset Management. This opportunity is for a 3 months rolling contract (with possibilty to extend) and it is inside IR35. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Build models across credit, insurance, pricing, and more. Leading model development from the ground up to drive business impact. A great next step for a data scientist who thrives in the modelling space. We're looking for a commercially minded Senior Data Scientist with a passion for building risk models. If you're the kind of data scientist who doesn't just tweak existing models but creates them from scratch, this is your chance to make a real impact! What you'll be doing This role is all about risk (we can't stress that enough!). We're looking for someone technically strong (likely a data scientist or similar) with a proven background in modelling risk across different environments.As part of a specialist Risk Modelling Team, you'll operate in a collaborative, matrix-style environment. Your work will include model development, enhancement, and forecasting, ensuring outputs are accurate, robust, and clearly communicated.This role is also a chance to work on variations of risk, you'll model across multiple areas and projects, outside of a highly regulated environment. They need someone adaptable, curious, and genuinely passionate about risk modelling. Your projects could include insurance risk, asset risk, financial risk, pricing risk, credit risk, climate risk and more.You'll thrive on building and enhancing models from the ground up, bridging the gap between complex statistical techniques and clear, actionable insights for stakeholders. You'll work closely with senior leaders, collaborate across functions, and play a key role in strategic projects. Sound like you? Apply now! What experience you'll need Strong background in risk modelling and using these insights to inform business decisions Proven experience building risk models from scratch and enhancing existing ones Excellent skills in R, Python, or SAS Experience leading complex model updates (both operational enhancements and full development projects) with clear communication of outcomes Ability to present to stakeholders and translate risk issues into business applications Exposure to multiple risk types (insurance, pricing, climate, asset, credit, etc.) Knowledge of model risk management Experience working outside regulated risk environments Desirable: Industry experience in finance, automotive, or similar sectors, plus exposure to advanced techniques like machine learning or predictive modelling What you'll get in return Up to £90,000 plus a 20%+ bonus, alongside a comprehensive benefits package. You'll work from the London office three days per week, with flexibility to work remotely the rest of the time. What's next? Apply with your CV, and we'll be in touch to arrange a conversation if it's a good fit! Got questions? Drop Tegan a message.

Contract Data Engineer - Global Bank Location: Hybrid (London or Edinburgh preferred) Duration: 6-12 months Day Rate: Competitive via Umbrella A leading global bank is seeking a skilled Data Engineer to join its next-generation data and AI transformation programme. This contract role offers the chance to work on high-impact initiatives, including powering intelligent chatbots and AI-driven analytics across the organisation. Key Responsibilities: Design, build, and maintain scalable ETL data pipelines to support AI, chatbot, and analytics use cases. Collaborate with data scientists, ML engineers, and product teams to deliver clean, reliable data for model training and real-time inference. Enable chatbot platforms by integrating structured and unstructured data sources for conversational AI applications. Develop and maintain Tableau dashboards to support data storytelling and operational insights. Optimise data workflows across cloud and on-prem environments, ensuring performance and reliability. Skills & Experience: Strong experience in ETL pipeline development using tools like Apache Airflow, Informatica, or similar. Advanced SQL skills and experience with large-scale relational and cloud-based databases. Hands-on experience with Tableau for data visualisation and dashboarding. Exposure to AI/ML environments , including data preparation for chatbot training and deployment. Familiarity with chatbot frameworks is a plus Experience with cloud platforms (AWS, GCP, or Azure) and modern data architectures (e.g. data lakes, lakehouses). Financial services or banking experience is highly desirable. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

- Security Cleared Senior AI Data Scientist - 1-2 days onsite per week in London / Cardiff / Glasgow - Security Clearance Required - £700 - £750 per day inside IR35 Our client a public sector regulator are looking for a Senior AI Data Scientist to join on a contract bases. You will design, develop, test, and deploy data science models to answer strategic business questions and turn data into actionable insights for the organisation. You will be responsible for developing advanced analytics products using Microsoft Azure ML Studio, Python, and Power BI. You will be involved in business conversations to understand requirements, analyse datasets, estimate and productionise machine learning models, and communicate insights to the business using dashboards and storytelling. Key Responsibilities To support the team deliverables, that utilise your expertise to ensure successful outcomes across team members and collaborating teams Understand strategic business initiatives and analytical questions to answer. Design, develop, test, and deploy data science workflows using Microsoft Azure ML Studio with a Python data science stack. Ensure high-quality delivery of accurate data science models, and review that proposed solutions meet security, compliance, and governance requirements. Monitor model performance, identify drift and implement model retraining when appropriate. Use data visualisation and storytelling techniques to share analytic conclusions and their strategic impact. Collaborate closely with other teams to manage interdependencies, risks and resourcing to support portfolio delivery. Develop AI/ML proof-of-concepts and assist the business with evaluations to measure success and estimate value proposition. Essential Criteria: Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc) Understanding of data science concepts, AI / ML models, evaluation approaches, and data science applications to enhance business processes Proven hands-on experience in Microsoft Azure ML Studio Experience using business intelligence tools, preferably Power BI Experience applying Generative AI and prompting techniques Strong understanding of data governance, model observability, and compliance frameworks Proven ability to deliver secure, scalable, and responsible data science solutions If this sounds like you and you are available on short notice, apply now!

Product Analyst East Midlands (Hybrid - 2x Days a Week in Office) £75,000-£85,000 The Company Are you a commercially-minded Product Analyst or Product Data Scientist looking to make an impact in a fast-growing, PE-backed consumer tech business? This is a unique opportunity to join a company in an exciting growth phase, working alongside an experienced and data-driven leadership team! The Role You'll sit within a highly collaborative Data team and act as a key partner to Product, Engineering, and Commercial teams, using data to shape strategy, improve personalisation, and create a best-in-class experience for millions of users. This role is ideal for someone who is curious, commercially focused, and passionate about understanding user behaviour to drive measurable outcomes You'll be responsible for: Analysing user behaviour, spotting trends, and telling compelling data stories to influence product strategy Designing, running, and evaluating experiments to optimise product performance and improve conversion Defining and aligning key metrics across teams, ensuring consistent measurement and insight delivery Building and maintaining dashboards and self-serve tools for quick access to core insights Conducting deep-dive analysis to inform strategic decisions and drive measurable product improvements Your Skills & Experience I'm looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings: Strong SQL Python/R experience preferrable Experience with dbt and modern data stacks a bonus A proven ability to turn data into actionable insights and communicate them clearly to stakeholders Experience in a B2C or consumer tech environment, ideally with a focus on product analytics or experimentation The Benefits Salary up to £75,000 - £85,000 Bonus How to Apply Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

Data Scientist Location: Hybrid (Greater Bristol Area) Salary: £54,000 Python - PySpark - Azure - Pandas - Scikit-learn - TensorFlow - PyStats - Data Science - Power BI We're supporting a growing, forward-thinking organisation in their search for an experienced Data Specialist. This is an exciting opportunity to join a dynamic team at a pivotal point in its growth, helping shape data strategy, deliver insightful analytics, and drive intelligent decision-making across the business. You'll work closely with stakeholders to uncover challenges, identify opportunities, and deliver actionable, measurable solutions through advanced machine learning models, statistical methods, and high-performance data pipelines. Skills & Experience Required To be considered, you will need: Strong proficiency in Python and key libraries (pandas, scikit-learn, TensorFlow, PyStats). A solid understanding of machine learning techniques and real-world performance trade-offs. Experience building and maintaining end-to-end machine learning applications. Hands-on experience with Azure cloud technologies: Synapse, Fabric, AzureML, ADX, ADF, Azure Data Lake Storage, Event Hubs. Experience with visualisation tools such as Power BI and Streamlit. Familiarity with Parquet and Delta Parquet formats. Strong data modelling and architecture knowledge across SQL and NoSQL databases. Understanding of the software development lifecycle and ML-Ops. Knowledge of advanced statistical techniques and their commercial application. Excellent communication skills with the ability to present findings clearly. A collaborative mindset and ability to thrive in a fast-paced environment. MSc in AI/ML, Data Science, Mathematics, Computer Science or similar discipline. IoT Data Scientist (Data Science & Data Engineering) Location: Hybrid (Greater Bristol Area) Salary: £54,000 Python - PySpark - Azure - Pandas - Scikit-learn - TensorFlow - PyStats - Data Science - Power BI

Business Analyst - Ad Tech London £65,000 + benefits 2 days per week in office Drive data-led decision making in one of the most innovative ad tech environments in London. If you're a commercially minded Business Analyst who thrives at the intersection of data, digital products and technology, this is your chance to make a real impact in a fast-paced, data-driven organisation at the forefront of AI, analytics, and personalisation. THE COMPANY This global business is redefining how brands connect with audiences through smarter data. With a culture that values innovation, collaboration and agility, they're scaling quickly they need someone who can turn complex data into actionable insights that drive product and business strategy. THE ROLE As a Business Analyst, you'll be the crucial bridge between business and technology teams, translating ideas into solutions and helping to shape the next generation of data-driven products. You'll work closely with engineers, data scientists, and product managers to scope and deliver projects across analytics, recommendation engines, and personalisation tools, ensuring every decision is backed by insight. Key responsibilities: Partner with stakeholders to understand and validate business needs, balancing cost-benefit, feasibility, and prioritisation. Collaborate across tech and product teams to define requirements and shape solutions. Support delivery from concept through to release - bringing structure, clarity, and communication to complex data projects. Champion best practice in agile delivery and data-driven decision-making. YOUR SKILLS& EXPERIENCE You'll bring: Experience in analytics, AI/data science, or data product environments - ideally within ad tech, media, or digital. Strong grasp of data warehousing concepts - data flows, ETL, dimensional modelling, and data quality. Solid SQL skills and the ability to interrogate complex data from diverse sources. Hands-on understanding of cloud-based data architectures A proven ability to build and maintain relationships with stakeholders across business and technology. Experience delivering within agile/iterative frameworks such as Scrum or Kanban. Confidence in presenting technical and non-technical material to mixed audiences. SALARY & BENEFITS: Up to £65,000 base salary Hybrid working - 2 days per week in a vibrant central London office Work with cutting-edge data and AI technologies in a collaborative, growth-focused environment A genuine opportunity to shape how data powers product and marketing innovation

Data Business Analyst - MetaData, Cloud, Healthcare £Market Rate - Inside IR35 London / Hybrid - 2 days per week on site 3-6 months My client is an instantly recognisable Healthcare Insurer who urgently require a Data Business Analyst to join a business-critical programme. Key Requirements: Proven commercial experience working as a Data Business Analyst within large, complex organisations (Healthcare / Insurance preferred). Experience working on large-scale Data programmes. The ability to analyse and document business processes to gather and define requirements. The ability to develop and maintain detailed project documentation, including business requirements, process flows, and Data models. Working knowledge of structured, unstructured and MetaData. Familiarity with Data pipelines for cloud environments (Azure, GCP, AWS, Snowflake). Awareness of medallion architecture (Gold, Silver, Bronze). Previous experience creating Data requirements for Data Engineers / Data Scientists. Proficiency in Data Analysis tools such as SQL, Python and R and the ability to write simple SQL scripts. Strong understanding of LLM. The ability to understand the difference between functional and non-functional requirements. The ability to work with technical teams to translate business needs into technical solutions. Excellent communication and stakeholder management skills. Nice to have: Experience working in a Product Operating Model. Knowledge of AI ethics or responsible AI. Strong knowledge of Healthcare & Insurance industry regulations and Data privacy standards. Previous experience implementing and managing Data governance frameworks and processes. An understanding of healthcare models. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Senior Java Developer - Leeds City Centre (Hybrid) Up to £60,000 4 Days in Office, Friday WFH AI & Machine Learning I'm recruiting for a forward-thinking tech company based in Leeds City Centre that's transforming how retailers harness AI and machine learning to boost profitability and stay competitive in a rapidly evolving market. They're looking for an experienced Senior Java Developer to join their talented team of 7 engineers, reporting directly to the Engineering Manager. You'll play a pivotal role in developing intelligent, data-driven software used by major retail clients across the UK, Europe, North America, and Australia. The Opportunity This is a hands-on senior role - ideal for someone who thrives on technical challenges, loves solving complex problems, and wants to build systems that make a tangible business impact. You'll be working closely with data scientists and product specialists to deliver scalable, high-performance software solutions that integrate the latest AI and ML technologies. Tech Stack & Tools Essential Skills: 8+ years' experience in Java development (commercial) Strong expertise in Spring / Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS / Azure DevOps: Git, CI/CD, Docker, Kubernetes Agile, collaborative environment with code reviews and shared ownership What You'll Be Doing Designing and developing enterprise-grade Java applications using Spring and Hibernate Collaborating with data scientists to embed AI/ML insights into real-world systems Building scalable, high-availability solutions for global retail clients Driving code quality, performance, and architecture best practices Mentoring junior engineers and contributing to continuous improvement What We're Looking For 8+ years' experience in Java software development Proven background delivering complex, scalable backend systems Deep understanding of Spring Boot and Hibernate Familiarity with cloud-based environments (AWS or Azure) Strong communicator and team player Able to work 4 days on-site in Leeds City Centre, with Friday working from home What's on Offer Up to £60,000 Hybrid working - 4 days in the office, Friday from home Global exposure - clients across the UK, Europe, North America & Australia Work with cutting-edge AI and machine learning technologies Collaborative, supportive team of 7 developers Career growth opportunities with direct access to the Engineering Manager Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Product Analyst London (Hybrid - 2x Days a Week in Office) £75,000-£85,000 The Company Are you a commercially-minded Product Analyst or Product Data Scientist looking to make an impact in a fast-growing, PE-backed consumer tech business? This is a unique opportunity to join a company in an exciting growth phase, working alongside an experienced and data-driven leadership team! The Role You'll sit within a highly collaborative Data team and act as a key partner to Product, Engineering, and Commercial teams, using data to shape strategy, improve personalisation, and create a best-in-class experience for millions of users. This role is ideal for someone who is curious, commercially focused, and passionate about understanding user behaviour to drive measurable outcomes You'll be responsible for: Analysing user behaviour, spotting trends, and telling compelling data stories to influence product strategy Designing, running, and evaluating experiments to optimise product performance and improve conversion Defining and aligning key metrics across teams, ensuring consistent measurement and insight delivery Building and maintaining dashboards and self-serve tools for quick access to core insights Conducting deep-dive analysis to inform strategic decisions and drive measurable product improvements Your Skills & Experience I'm looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings: Strong SQL Python/R experience preferrable Experience with dbt and modern data stacks a bonus A proven ability to turn data into actionable insights and communicate them clearly to stakeholders Experience in a B2C or consumer tech environment, ideally with a focus on product analytics or experimentation The Benefits Salary up to £75,000 - £85,000 Bonus How to Apply Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They've invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they're scaling globally - and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They've invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they're scaling globally - and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

Jot Title: Software Engineer x2 Positions: Senior Software Engineer, Team Lead Permanent Staff Positions Location: Abingdon, just outside London Hybrid working available, ideally 3 days based in the office Salary: please get in touch and I will reply straight away with salary details (highly negotiable) Must have skills: - Java, Eclipse RCP/SWT - Strong problem-solving abilities - Clear communication skills - Evidence of being able to solve algorithmic problems - Evidence of experience working on large monolithic thick-client applications and demonstrate how they are different than web-based applications from an engineering perspective Very nice to have: - Experience with using AI with development - Domain experience (Geophysics or another geoscience related field) Subsurface Senior Java Application developer Responsibilities include: â Collaborate closely with geophysicists, data scientists, and software engineers to translate scientific domain requirements into robust on-prem or Cloud software solutions. â Design, develop, and maintain high-performance applications for geophysical and geological data analysis, interpretation and visualization (e.g., seismic, horizon, fault, velocity model, etc.) â Present architectural designs and technical proposals to the architecture review board. â Ability to break down development tasks and lay out clear implementation roadmaps. â Implement and optimize computation algorithms â Design and develop both thin and thick client applications that interact with cloudbased microservices. â Ensure high code quality through unit testing, code reviews, security hardening and continuous integration with other domain tools â Provide technical support and lead user troubleshooting sessions to resolve issues and ensure smooth operation of DSG application. â Mentor junior developers and actively contribute to architectural and implementation decisions. â Embrace Agile/Scrum methodologies, delivering and demonstrating working solutions at the end of each sprint â Stay current with emerging technologies and trends in geophysical computing and software development. Required Education and Skills â BS or MS degree in computer science, Geoscience, Applied Mathematics, or a related engineering discipline. â Minimum of 10 years of experience in software development using Java â Ability to break down complex development tasks and define clear, actionable implementation of roadmaps. â Strong Java proficiency is required â C++ knowledge and experience a strong benefit â Proficiency with development tools and environments: o GitLab, Eclipse RCP/SWT, VS Code, CI/CD pipelines o Performance tools: VisualVM, JMC/JFR, Async o Operating systems: Windows and Linux â Hands-on experience using GitHub Copilot to accelerate code implementation and enhance development productivity. â Must be self-motivated but be able to work well in a team environment Desired Experience â Knowledge with geoscience software tools and formats: o SEG-Y, Landmark seismic BRICK, CMP, OpenVDS o DSG, Petrel, Kingdom, GeoFrame, or PaleoScan â Familiarity with cloud platforms and distributed computing: o Restful API design and implementation o AWS and Azure o Tools for scalable data processing: Kubernetes, Spark â Experience with Java 2D graphics and 3D OpenGL programming. â Experience with scientific computing libraries and frameworks: o Python: NumPy, SciPy, Pandas, TensorFlow (for ML/AI) o C++/Java: CUDA (for GPU acceleration) o Angular or React o Microservice: Quarkus, Spring Boot, AWS API Gateway o Docker, Kubernetes With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.

Senior Analyst & Analyst- Operational Analysis, Python, Modelling, Software Design Salary - £35K-£70K plus excellent benefits Location - Winchester Hants, Hybrid role Our client has an exciting opportunity to join our growing management consultancy, with an enviable reputation and senior level client base. They have a strong track record in UK MOD and government. You will have strong data analysis skills, Advanced Excel , including VBA They value their people and believe in building everyone's capabilities and strengths to help them reach their full potential. The Opportunity - Operational Analyst/Consultant Our client is looking for a positive, flexible self-starter to join their team as a Senior Analyst. This is an exciting opportunity to play a leading role in delivering operational analysis capability as an integral part of a small, agile, and growing business. Their team of analysts, consultants and Defence SMEs work closely with their customers to deliver high-impact services and solutions. Data science and operational analysis are a key part of the Company's capability. They are growing this capability and are looking for a highly motivated and capable Senior Analyst. As Senior Operational Analyst your role will include: Designing, developing, and running analysis models. Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management. Collating, managing, structuring, analysing and visualising data. Deriving unique insights from data to inform senior-level decision making. Taking a leading role in the day-to-day delivery of projects, working closely with our clients and our team of consultants and analysts. Taking a consultative approach to your work, understanding how your work contributes to delivering a great result for our clients. Developing strong relationships with the wider Company's team. Our UK office is based just outside Winchester. The role will require a blend of working from our office, occasional travel to client sites, and working from home. The Company's main clients will be based around key UK Defence establishments in the south of England. Skills/Qualifications - Senior Operational Analyst/Consultant: Software development using Python. Operational Analysis (OA) approaches and techniques Strong mathematical skills Requirements gathering Software design Strong data analysis skills Highly numerate A self-starter and team player. Good communication skills, enabling you to work confidently with team members and clients. Strong organisational and time management skills, with the ability to multi-task and prioritise your work. Attention to detail and the drive to see work through to completion. A positive and flexible approach to your work. Degree , MSc or equivalent Knowledge and experience of the following is desirable: Experience working within UK MoD UI/UX design Discrete event simulation Data science techniques Advanced data analysis in Excel, including VBA. Knowledge of current software development approaches, platforms and best practice. Experience of designing and deploying Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions. Recent UK Defence Security Clearance (SC) would be of interest but is not essential. Senior Analyst and Analyst - Operational Analysis, Data Science, Data Scientist , Python, Modelling, Software Design

Job Description Data Technical Specialist - Submarines Full Time Derby, Raynesway We are seeking a talented and highly motivated Senior Data Engineering specialist to join our Central Digital team. As a Data Technical Specialist, you will be recognised as an authoritative source of technical expertise and advice within the business for Data and viewed as a key member of the broader team of technical expertise by senior leadership. You will be responsible for defining data management policies and procedures that ensure that data is properly collected, stored, maintained, and utilised, in line with the business strategy. This incorporates defining and managing data governance, quality, and retention policies. You will be responsible for designing, building and maintaining data pipelines and architecture that empowers data-driven decisions across the organisation. You will work closely with the cross-functional teams, including data engineers, data scientist, product teams to ensure data is seamlessly integrated, transformed and accessible for analytical and operational purpose. You will have depth and/or breadth of knowledge in technical data management. Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey. We'll provide an environment of caring and belonging where you can be yourself. An inclusive, innovative culture that invests in you, gives you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. What we offer We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It's a locally managed and flexed informal discretionary arrangement. As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, on average three days per week. What you will be doing Lead and manage data integration, ETL and conversion areas of planning, coordination, and meeting customer expectations. Leads the resolution of new and emerging technical, compliance and business problems using analytical processes and professional judgement. Serve as a lead regarding complex data issues and resolution. Oversee the entire conversion process for information transfers from paper to an electronic data system. Ensures appropriate policies, standards and best practices are defined, shared and adopted. Proactively accesses internal and external networks of fellow specialists to further the understanding of the specialist subject; supports the implementation of strategic collaborative relationships. Provides technical direction to peers and more junior professionals, and technical leadership to teams and projects within their specialism. Leads the sharing of Best Practice; represents the area as an authority in their defined subject; provides concise justification for decisions; records and captures salient information in reports and systems. Research data sources to verify the validity of the information and be responsible for designing for solutions for a specific customer to use. Generate, resolve and track queries to address problematic data identified during data review activities and apply proper modification / correction to the database. Troubleshoot and offer solutions based on the technical project's needs. Increase the breadth and quality of data that is tracked, monitored and analysed for both internal use and customer reporting. Supports the development and application of new data capabilities; leads capability development projects. Ensure data security and privacy protocols are adhered to by applying appropriate measures to safeguard sensitive information. Who we're looking for: At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles. Degree level education in Mathematics, Scientific, Computing or Engineering discipline or equivalent experience Experience at various levels of Software /Data Engineering roles delivering end to end data pipelines Good understanding of infrastructure components and their fit in different types of data solutions A deep understanding of specialist subject and proven ability to influence key decisions Understanding of Intellectual Property and Export Control requirements Be up to date with data processing technology / platforms such as Spark, PowerBI, and Tableau. Ability to craft data pipelines using scripting and automation languages. Experience of working in an agile environment, within a self-organising team. Experience with ETL and/or data integration tools Member of a relevant professional body/institute UK CEng (Chartered Engineer) or other national equivalent relevant to specialist subject area We are an equal opportunities employer. We're committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives which are crucial to innovation and problem solving. We believe the more diverse perspectives we have, the more successful we'll be. By building a culture of caring and belonging, we give everyone who works here the opportunity to realise their full potential. We welcome applications from people with a refugee background. You can learn more about our global Inclusion strategy at Our people Rolls-Royce To work for the Rolls-Royce Submarines business an individual has to hold a Security Check clearance. Rolls-Royce will support the application for Security Clearance if you do not currently already have this in place. Due to the nature of work the business conducts and the protection of certain assets we can only progress applications from individuals who are a UK national or, in MoD approved cases, a dual national. Closing date: Job Category Software Systems Posting Date 05 Nov 2025; 00:11 Posting End Date 01 Dec 2025PandoLogic.

Data Scientist Bristol (2 days onsite) £50,000-£70,000 + Benefits We're recruiting on behalf of our client for an exciting Data Scientist position based in Bristol. This role offers an excellent opportunity for someone who wants to play a key part in elevating how data, analytics, and technology are used across the organisation. As a Data Scientist, you'll work closely alongside the Reporting & Analytics team, engaging directly with business stakeholders to understand their needs and translate data into meaningful insights. You'll be delivering advanced analytics, predictive modelling, and machine learning solutions that support smarter decision-making and help shape the business's future direction. This is a role with real influence - you'll have the scope to introduce new ideas, champion best practices, and contribute to the development of the organisation's wider data and technology landscape. There's also the opportunity to provide guidance to more junior team members and support the continuous improvement of analytics capability across the business. What you can expect: ? A varied role combining analytics, modelling, visualisation, and stakeholder engagement? Influence over the organisation's data and technology approach? The freedom to propose new methods, tools, and ways of working? Close collaboration with senior stakeholders? Hybrid working - 2 days a week onsite in Bristol Technical experience we're looking for: SQL Server, Python, R, Power BI Advanced analytics, predictive modelling & machine learning Data visualisation and clear insight storytelling Experience with Azure and awareness of emerging technologies, including AI Ability to explain complex outputs to non-technical audiences Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

Lead Data Scientist Salary: 115,000 - 125,000 Location: London/Hybrid Data Idols are partnered with a leading technology distributor that is continuing to invest heavily in data. They are looking for a Lead Data Scientist who can act as the senior technical expert within the team, someone who delivers high-impact models, sets technical standards, and leads complex projects through to production. The Opportunity As a Lead Data Scientist, you'll be the go-to technical authority, taking ownership of challenging modelling work and driving end-to-end delivery. You'll work deeply hands-on, developing advanced models, improving existing pipelines, and ensuring solutions are scalable and production-ready. You'll collaborate closely with the Head of Data Science, shaping the technical approach, advising on best practices, and leading major initiatives. While not a people manager, you will support and mentor others by setting the bar for technical excellence and helping guide their development. This role is ideal for someone who thrives as a senior IC and wants to stay close to the code and modelling while having a strong voice in technical decision-making. Skills and Experience Extensive experience building, validating, and deploying machine learning models into production Strong hands-on Python and SQL skills Experience working in cloud environments (GCP preferred) Deep understanding of experimentation, evaluation, and scalable ML design Ability to mentor others and influence technical direction without formal line management If you're looking for a role where you can remain hands-on while owning major technical challenges, please submit your CV for initial screening. Lead Data Scientist

? Product Data Scientist - Up to £65k + Benefits London (Hybrid) Join a fast-growing, community-driven marketplace on a mission to make fashion circular. We're looking for a Product Data Scientist who can turn complex data into actionable product insights, drive experimentation, and influence strategy across a major consumer platform. What you'll do Own analytics for a core product area Shape product & commercial strategy with data-led insights Design, run, and evaluate A/B tests end-to-end (3-5 per quarter) Partner with Product, Engineering & ML teams Help build self-serve analytical capabilities What you'll bring Strong SQL (day-to-day level) Python exposure (nice to have) Experience with BI tools (Looker/PowerBI/Tableau) Comfort working with ETL workflows Strong communicator with commercial awareness Confident presenting to non-technical stakeholders Why apply? Up to £65k base 1 day a week in a central London office Exceptional benefits If you're driven by experimentation, impact and product thinking, this is a brilliant next step. Find out more and apply via the link below.

Azure Data Engineer - 400PD - Remote Seeking an experienced Data Engineer to design, build, and optimise data solutions within the Microsoft Azure ecosystem. The role focuses on pipeline development, data modelling, governance, and supporting analytics teams with high-quality, reliable data. Key Responsibilities: Develop and maintain scalable data pipelines using Azure Data Factory, Synapse, Databricks, and Microsoft Fabric. Build efficient ETL/ELT processes and data models to support analytics, reporting, and dashboards. Optimise existing pipelines for performance, reliability, and cost efficiency. Implement best practices for data quality, error handling, automation, and monitoring. Manage data security and governance, including Row-Level Security (RLS) and compliance standards. Maintain documentation and metadata for data assets and pipeline architecture. Collaborate with analysts, data scientists, and stakeholders to deliver trusted data products. Provide technical support and troubleshoot production issues. Contribute to improving data engineering processes and development lifecycle. Required Skills & Experience: Proven experience as a Data Engineer working with Azure. Strong skills in Azure Data Factory, Synapse Analytics, Databricks, SQL Database, and Azure Storage. Excellent SQL and data modelling (star/snowflake, dimensional modelling). Knowledge of Power BI dataflows, DAX, and RLS. Experience with Python, PySpark, or T-SQL for transformations. Understanding of CI/CD and DevOps (Git, YAML pipelines). Strong grasp of data governance, security, and performance tuning. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Data Engineering Team Lead - Remote - Databricks - Azure - 80k Join a Leading Microsoft Consultancy Driving Data Innovation I'm working with a well-established Microsoft Partner with an incredible project pipeline, rapid growth, and a reputation for delivering Tech for Good. They're working on cutting-edge projects using emerging technologies like Microsoft Fabric and Azure Databricks. We're looking for a Data engineering team lead who combines hands-on technical expertise with leadership skills to mentor a talented team and deliver exceptional solutions for our clients. What You'll Do Lead and mentor a team of Technical Consultants, driving engagement, growth, and alignment with our culture. Oversee resource planning, scheduling, and performance management. Collaborate with Pre-sales, Commercial, and Project Management teams to scope and deliver projects. Ensure consistent delivery of technical solutions aligned with best practices and standards. Support technical delivery when needed, including designing scalable data solutions in Microsoft/Azure environments. Contribute to innovation through cloud migrations, data lakes, and robust ETL/ELT solutions. What We're Looking For Hands-on Data Engineering experience (not Data Analyst or Data Scientist roles). Strong background in Azure Synapse, Databricks, or Microsoft Fabric. Expertise in ETL/ELT development using SQL and Python. Experience implementing data lakes and medallion lakehouse architecture. Skilled in managing large datasets and writing advanced SQL/Python queries. Solid understanding of BI and data warehousing concepts. Excellent communication skills and ability to build strong relationships. Ideally, experience in consulting environments and working within high-performing teams. The company Rapid Growth & Exciting Projects - Continuing to grow working on cutting-edge Microsoft Cloud solutions. Investment in You - They invest in training and development, with clear certification pathways for you. Home-Based Contract - Work remotely with all travel expenses covered. UK-Based Delivery - We never offshore; all consultants are UK-based. Competitive salary and benefits, including: 25 days holiday Private health insurance (after one year) Life assurance (4x base salary) Enhanced parental pay Perkbox, Cyclescheme, Electric Car Scheme Ready to lead and innovate? Apply now or send your CV directly to me: (url removed)

Azure Data Engineer - £400PD - Remote Seeking an experienced Data Engineer to design, build, and optimise data solutions within the Microsoft Azure ecosystem. The role focuses on pipeline development, data modelling, governance, and supporting analytics teams with high-quality, reliable data. Key Responsibilities: Develop and maintain scalable data pipelines using Azure Data Factory, Synapse, Databricks, and Microsoft Fabric. Build efficient ETL/ELT processes and data models to support analytics, reporting, and dashboards. Optimise existing pipelines for performance, reliability, and cost efficiency. Implement best practices for data quality, error handling, automation, and monitoring. Manage data security and governance, including Row-Level Security (RLS) and compliance standards. Maintain documentation and metadata for data assets and pipeline architecture. Collaborate with analysts, data scientists, and stakeholders to deliver trusted data products. Provide technical support and troubleshoot production issues. Contribute to improving data engineering processes and development lifecycle. Required Skills & Experience: Proven experience as a Data Engineer working with Azure. Strong skills in Azure Data Factory, Synapse Analytics, Databricks, SQL Database, and Azure Storage. Excellent SQL and data modelling (star/snowflake, dimensional modelling). Knowledge of Power BI dataflows, DAX, and RLS. Experience with Python, PySpark, or T-SQL for transformations. Understanding of CI/CD and DevOps (Git, YAML pipelines). Strong grasp of data governance, security, and performance tuning. To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Data Engineering Team Lead - Remote - Databricks - Azure - 80k Join a Leading Microsoft Consultancy Driving Data Innovation I'm working with a well-established Microsoft Partner with an incredible project pipeline, rapid growth, and a reputation for delivering Tech for Good. They're working on cutting-edge projects using emerging technologies like Microsoft Fabric and Azure Databricks. We're looking for a Data engineering team lead who combines hands-on technical expertise with leadership skills to mentor a talented team and deliver exceptional solutions for our clients. What You'll Do Lead and mentor a team of Technical Consultants, driving engagement, growth, and alignment with our culture. Oversee resource planning, scheduling, and performance management. Collaborate with Pre-sales, Commercial, and Project Management teams to scope and deliver projects. Ensure consistent delivery of technical solutions aligned with best practices and standards. Support technical delivery when needed, including designing scalable data solutions in Microsoft/Azure environments. Contribute to innovation through cloud migrations, data lakes, and robust ETL/ELT solutions. What We're Looking For Hands-on Data Engineering experience (not Data Analyst or Data Scientist roles). Strong background in Azure Synapse, Databricks, or Microsoft Fabric. Expertise in ETL/ELT development using SQL and Python. Experience implementing data lakes and medallion lakehouse architecture. Skilled in managing large datasets and writing advanced SQL/Python queries. Solid understanding of BI and data warehousing concepts. Excellent communication skills and ability to build strong relationships. Ideally, experience in consulting environments and working within high-performing teams. The company Rapid Growth & Exciting Projects - Continuing to grow working on cutting-edge Microsoft Cloud solutions. Investment in You - They invest in training and development, with clear certification pathways for you. Home-Based Contract - Work remotely with all travel expenses covered. UK-Based Delivery - We never offshore; all consultants are UK-based. Competitive salary and benefits, including: 25 days holiday Private health insurance (after one year) Life assurance (4x base salary) Enhanced parental pay Perkbox, Cyclescheme, Electric Car Scheme Ready to lead and innovate? Apply now or send your CV directly to me:

About the Role We are seeking an innovative and highly skilled Generative AI Data Scientist to join our AI System Design team. This individual will play a key role in bridging business needs with advanced AI-driven solutions. The ideal candidate will have experience in end-to-end AI experiment life cycle management , architecture design, and the ability to translate business KPIs into measurable AI outcomes. A strong background in data management (preferably on Databricks ), along with proficiency in modern Generative AI frameworks , is essential. This role demands both technical depth and excellent communication skills to engage with business stakeholders, design scalable AI systems, and ensure reliable model deployment using Azure and Databricks. Key Responsibilities Lead end-to-end AI experimentation processes from conceptualization to deployment. Collaborate with business stakeholders to define success metrics, KPIs, and measurable outcomes for AI applications. Translate business requirements into detailed AI solution designs, including: Business Value definition AI solution design (Data Flow, AI component selection, Prompt Engineering, AP, I, and AI integration planning) Automated model evaluation and monitoring frameworks Design, build, and scale data pipelines and AI workflows on Azure and Databricks ecosystems. Apply Generative AI techniques for text, code, image, and multi-modal use cases using advanced prompt engineering. Utilize modern GenAI toolkits and libraries, including: PyTorch LangChain, LangGraph, Model Context Protocol, Google's Agent Development Kit (ADK), and similar agentic frameworks. Develop experiments for LLM fine-tuning, retrieval-augmented generation (RAG), and multi-agent AI workflows . Deliver production-grade Python code using advanced data science, ML, and analytics libraries (eg, Pandas, NumPy, Scikit-learn, PyTorch, Hugging Face Transformers, Pydantic ). Document and communicate AI designs, decisions, and experiment outcomes to both technical and non-technical stakeholders. Lead the design and deployment of automated AI performance evaluation frameworks. Required Qualifications Master's or Ph.D. in Computer Science, Data Science, AI/ML, Mathematics, or related field . 5+ years of experience in Applied data science. with at least 2+ years focused on Generative AI/LLMs . Strong experience in Databricks data engineering and ML workflows. Proficiency in the Azure AI/ML ecosystem , including MLOps and data management best practices. Demonstrated expertise in: Python (advanced) AI/ML libraries (PyTorch, Hugging Face, Scikit-learn, TensorFlow, optional) Prompt engineering and fine-tuning LLMs for task-specific use cases Familiarity with LangChain, LangGraph, MCP, or other agentic frameworks for building AI applications. Excellent communication and stakeholder management skills. Strong ability to connect business concepts with AI-driven architectures and KPIs.

Technical Business Analyst Salary: Up to £55,000 Edinburgh/Hybrid We re looking for a Technical Business Analysts to join a forward-thinking team working alongside cross-functional software and data engineers. You will help define the roadmap for implementing our clients data strategy, taking in streams from across their product suite and beyond Main Duties; Understand the customer problem and scope of work to ensure we are delivering a high quality and functionally rich data platform to our customers. Evaluate client requests, end user insights, industry drivers, and competitor capabilities to identify enhancements. Manage and own all data requirements Become a data expert across our existing products and build relationships with their teams and stakeholders. Support the development of their data platform collaborating with relevant stakeholders and Data Engineers Evaluate regulatory changes to determine how they should be accommodated, with special emphasis on data governance, GDPR and PII handling. About You: Technical (Understanding of APIs, integrations and databases) Have hands-on experience in projects relating to data solutions (data delivery/management, data lake, system integration, data migration, data warehousing experience with cloud-based data platforms) Data Modelling (e.g. UML) SQL Server experience Value based decision maker Experience building/maintaining data dictionary/taxonomy Experience in a technical role with extensive exposure to data; data architect, data engineer, data analyst, software engineer/testing, DevOps engineer, data scientist, or similar relevant experience Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.

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 data-driven innovation? Our client is seeking a dynamic Data Innovation Business Analyst to join their team on a temporary basis. This is an exciting opportunity to work in a fast-paced environment where your ideas can make a real difference! Role: Data Innovation Business Analyst Duration: 6 Months (extension options) Location: Warwick (Hybrid, 2 days a week in office) Rate: £500 per day (umbrella) About Us Our client's Data Connect Innovation (DCI) mission is to empower innovators to pioneer new ideas that reshape the future. Through the DCI lab, they enable rapid proof of concepts (POCs) to experiment with novel technologies and collaborate to create new data-driven products. Join us in pushing the boundaries of what's possible with data! Your Role As a Data Innovation Business Analyst, you will: Identify, prioritize, and execute successful POCs that unveil valuable opportunities for the organization. Guide innovative ideas from initial discussions to completion, managing projects and ensuring effective communication. Collaborate within multidisciplinary teams, engaging with Product Owners, Data Scientists, and other experts to drive meaningful outcomes. What You'll Do Build trusted relationships with stakeholders at all levels. Support the interpretation and scoping of innovative ideas into testable hypotheses. Own and manage multiple POCs, driving momentum and ensuring successful delivery. Lead the partner selection process and prepare request-for-proposal materials. Represent business ideas in DCI lab meetings and showcase initiative findings. Stay updated on the latest data-driven technologies and trends. What You'll Bring An innovation and growth mindset, with a knack for driving outcomes within multidisciplinary teams. Experience interpreting complex business challenges and scoping them into testable hypotheses. A naturally curious approach, with a strong understanding of data, AI, and next-generation technologies. Exceptional stakeholder management skills, capable of engaging and inspiring others. A passion for storytelling and content creation, including video editing and graphic design. Hands-on experience in delivering innovation and rapid prototypes. A strategic, action-oriented mentality with a bias for execution. Why Join Us?This is not just another job-it's an opportunity to embrace the unknown in a vibrant and varied role! If you're passionate about using innovation to deliver positive business outcomes and are ready to make an impact, we want to hear from you! ppoly Now 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.

Palantir Foundry Data Engineer - DV Cleared NEW CONTRACT OPPORTUNITY FOR A PALANTIR FOUNDRY DATA ENGINEER TO WORK ON A NATIONAL SECURITY PROJECT IN LONDON WITH DV CLEARANCE - Contract role in London for a Palantir Foundry Data Engineer - Must hold DV Security Clearance - Central London based - Daily rate up to £800 - Hybrid position - To apply, email: or call Who we are We are seeking an experienced Palantir Foundry Data Engineer with current DV clearance to join a high-profile programme. This is a contract position offering hybrid working and a daily rate of up to £800 . In this role, you will be responsible for designing, developing, and optimising data pipelines and integrations within Palantir Foundry , ensuring data is efficiently processed, transformed, and made available for analysis and operational use. You will collaborate closely with analysts, data scientists, and business stakeholders to deliver robust, secure, and scalable data solutions. What we're looking for Key Responsibilities: Develop and maintain data pipelines and workflows in Palantir Foundry Integrate diverse data sources, ensuring data quality and integrity Optimise performance of data ingestion, transformation, and visualisation Collaborate with stakeholders to define requirements and deliver solutions Ensure security and compliance with DV-level clearance standards Skills & Experience: Current DV clearance (essential) Proven experience working with Palantir Foundry in complex environments Strong skills in data engineering, ETL processes, and data modelling Proficiency in relevant programming/scripting languages (e.g. Python, SQL) Experience working with large-scale datasets in secure environments Strong problem-solving skills and stakeholder engagement abilities TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to For further information please call me on . I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. PALANTIR FOUNDRY DATA ENGINEER - DV CLEARED

DATA SCIENTIST - eDV CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR A DATA SCIENTIST IN LONDON WITH ENHANCED DV CLEARANCE Permanent opportunity for a Data Scientist Enhanced DV security clearance is required Salary up to £95,000 + Clearance Bonus + Company Bonus Central London based organisation in an accessible location To apply please call / or email WHO WE ARE? We are recruiting a permanent Data Scientist to work with a leading technology and engineering company that do excellent work in the National Security sector across a range of exciting projects. Due to the nature of our clients, you must hold enhanced DV security clearance. WHAT WILL THE DATA SCIENCE ENGINEER BE DOING? As a Data Science Engineer, you will be working alongside our team on a wide variety of projects with a special focus on innovation and AI. You could be working with all types of data (both structured and unstructured) using a variety of software - so we're open to seeing engineers with different technology backgrounds! THE DATA SCIENCE ENGINEER SHOULD HAVE . Strong and demonstratable technical background in data science Demonstratable experience developing & delivering data science strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable Current enhanced DV security clearance TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to For further information please call me on - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENTIST KEY SKILLS: PRINCIPAL DATA SCIENTIST / LEAD DATA SCIENTIST / MACHINE LEARNING / ML / NLP / NATURAL LANGUAGE PROCESSING / DEEP LEARNING / DATA SCIENCE / LSTM / LONG SHORT TERM MEMORY / CNN / COGNETIVE NEURAL NETWORKS / CLOUD INFRASTRUCTURE / ARTIFICIAL INTELLIGENCE / INNOVATION / SECURITY CLEARANCE / DV CLEARED / SC CLEARED / SC CLEARANCE / SECURITY CLEARANCE / DV CLEARANCE / DEVELOPPED VETTING / DEEP VETTING / DEVELOPPED VETTED

Data Scientist - Remote (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL pipeline, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, QGIS, PostGIS, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) Our client is a prestigious technology company who focus in the Insurance market. They have been a market leader for many years and their worldwide client base has never been stronger, with significant growth in the last 12 months. They are looking for a Data Scientist to be responsible for analysing large datasets to extract actionable insights, build predictive models and develop data-driven solutions to complex problems. You will play a major part in data visualization, statistical analysis and collaboration with cross-functional teams to implement data-driven decision making. We are seeking a Data Scientist with experience of Python and Jupyter notebooks with the capability to source data and communicate and liaise with data providers. You will need an understanding of data licensing and its implications, full ETL pipeline experience and full data lifecycle management knowledge. Essential skills include Jupyter notebooks and Python, strong Data Visualization and presentation, expertise in Data Science and Data Analysis and proficiency in Statistics and Data Analytics. Knowledge of Azure Data Factory, Cosmos DB, PostgreSQL, QGIS/PostGIS and C#.NET is highly desirable, as is any experience in the Insurance industry. Excellent problem-solving and analytical skills and strong written and verbal communication skills are expected. We are keen to hear from talented Data Scientist candidates from all backgrounds. This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development; top performers are guaranteed a career path into senior and lead positions within 12 months. Location: London / Remote Salary: £35k - £45k + Bonus + Pension + Excellent Benefits To apply for this position please send your CV to Nathan Warner at Noir Consulting. (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL pipeline, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, QGIS, PostGIS, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) NOIRUKTECHREC NOIRUKREC

About the Organisation Our client is a specialist insurer and reinsurer operating globally, with a focus on complex commercial and industrial risks. The business combines deep sector expertise with advanced use of data, analytics, and modern technology to deliver informed, efficient, and fair underwriting decisions.The company is in a period of significant growth and is committed to maintaining a collaborative, inclusive, and high-performing culture. Employees are encouraged to ask questions, explore new ideas, work openly with others, and operate with clarity and simplicity. The environment is dynamic, supportive, and designed to enable long-term career progression. Role Summary Our client is seeking an experienced Technical Architect with strong expertise in integration architecture, systems design best practice, and API design. The role will take technical ownership of the organisation's enterprise technology landscape.This is a pivotal position within the company's scaling and modernisation programme. The successful candidate will act as the bridge between internally developed underwriting platforms, the data lakehouse and analytics estate, and a range of commercial off-the-shelf (COTS) applications used across operations, finance, and support functions.You will be responsible for defining standards, blueprints, and governance for how core systems interact, ensuring security, performance, scalability, and data quality across the entire ecosystem. Key Responsibilities Integration Architecture Define the enterprise-wide integration strategy, including the governance of integration patterns (such as synchronous APIs, event-driven architecture, asynchronous messaging, and batch ETL). Lead the design and documentation of internal and external APIs, ensuring best practice in RESTful design, versioning, and OpenAPI standards. Work with Engineering and Data teams to standardise the technical approach for messaging, data extraction, transformation, and load (ETL/ELT) processes across underwriting, finance, accounting, and data warehouse systems. Design secure, scalable, and auditable architectures for Generative AI, Agentic AI, and large language model (LLM) technologies. Collaborate with data scientists, engineers, and developers to integrate and deploy AI models from development through to production. Define security standards for all integration points, including OAuth, API key management, encryption, and network segmentation within an Azure environment. Platform Architecture Provide technical input into new platform selections and project implementations, ensuring alignment with architectural principles. Work closely with Engineering leadership on the design and evolution of the .NET and Angular technology stack, focusing on modularity, microservices, performance, and technical debt management. Collaborate with the Data Architecture function to ensure alignment between the enterprise architecture and the organisation's data platform, including optimisation of the Databricks environment. Establish and govern non-functional requirements (NFRs) covering performance, scalability, resilience, and disaster recovery. Technical Design & Governance Translate business strategy into an executable architecture roadmap. Conduct architectural and code reviews to ensure alignment with agreed standards. Present technical recommendations, solution designs, and trade-off considerations to both technical and non-technical stakeholders. Serve as the final escalation point for complex technical design challenges and technology selections. Mentor engineers across software, infrastructure, and data disciplines in architectural best practice and emerging technologies. Essential Experience & Skills At least 10 years in senior technical roles, including 5+ years as an architect specialising in software development, integration, and technical architecture. Advanced knowledge of API implementation, message queues (e.g., Azure Service Bus, Kafka), and event-driven architecture. Deep expertise in RESTful API design, API gateways (ideally Azure API Management), and the OpenAPI specification. Strong understanding of DevOps practices and hands-on experience with CI/CD tooling such as Azure DevOps or GitLab CI. Extensive knowledge of the Microsoft Azure ecosystem, covering IaaS and PaaS, with particular experience in Azure Databricks, Data Factory, and ADLS Gen2. Excellent communication and presentation skills, with the ability to influence diverse technical teams. Desirable Experience Background in the insurance, reinsurance, or wider financial services industry. Strong architectural understanding of the .NET/C# ecosystem and modern front-end frameworks (ideally Angular). Experience with data architecture concepts including relational, NoSQL, and data lake technologies. Knowledge of cloud-based AI architectures, including LLMs, Generative AI, and Agentic AI. Experience integrating proprietary systems with COTS finance or ERP platforms, particularly within general ledger, financial close, or regulatory reporting domains.

Data ScientistHybrid Working - Local Site - 1-2 days a week on site.Financial ServicesLorien's leading banking client is looking for a number of Data Scientists to join them on a new long term project which will be working on GenAI-Powered Digital Assistant programme. What you'll do Collaborate with cross-functional teams to develop and enhance our GenAI-Powered smartdigital assistant. Leverage your expertise in NLP and transformer architectures to create intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis - to extract valuable insights from data. Be the driving force behind our data visualisation efforts - whether its Tableau, Power BI, or Cognos you'll create compelling visualisations that bring data to life. Contribute to the development of a fantastic visualisation layer for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery Proficiency in LLMs and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.) Proficiency in Python visualisation libraries (Matplotlib, Seaborn.) SQL for data extraction and manipulation. Experience working with large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Data Scientist Location: Desford Contract: 12 months (likely to extend) Rate: up to £22 per hour Umbrella Start Date: January 2026 Working Arrangement: Fully site-based About the Role We're looking for a Data Scientist to support ongoing work by improving processes and developing creative, data-driven solutions. This role is ideal for someone innovative, detail-focused, and confident working with different teams. Key Requirements Strong experience with Microsoft Office, Tableau, Power BI, and Python, R, or SQL Creative, innovative mindset Excellent communication skills Degree or relevant experience considered Manufacturing experience is helpful but not essential If you would like to be considered for this role please don't hesitate to click apply or call Daniel McShane on for more information.