237 Data Scientist jobs

Job Title: Senior Environmental Data Scientist/Hydrologist Ref. No.: CJD2012T25 Location: Based near Reading Salary: 35,000 - 42,000 This is an excellent opportunity to join my client, an innovative, independent Multidisciplinary Consultancy, renowned for lending their expertise to projects across the Water, Transport, and Renewable Energy Sectors. They are currently on the lookout for an experienced, enthusiastic Senior Environmental Data Scientist/Hydrologist with demonstrable knowledge of hydrology and hydrological modelling, who is willing and able to lead a team through their delivery of several challenging projects. You will be based near the lively, picturesque town of Reading. Benefits for the role of Senior Environmental Data Scientist/Hydrologist include (but are not limited to): Competitive salary, increasing with length of service Employee Pension Scheme Generous annual leave entitlement A focus on work-life balance, with opportunities to pursue hybrid/flexible working Healthcare plan Dedication to your Continuing Professional Development (CPD), with extensive career progression opportunities Delivery of a wide range of exciting engineering projects across the local region and beyond Responsibilities for the role of Senior Environmental Data Scientist/Hydrologist include: Oversee the development of models and methods, utilising various software platforms, including Qube, CERF, FEH Flood Modelling Suite, ReFH2, and WINFAP5 Create flow estimation, flood estimation, and catchment models Identify opportunities for developing hydrological models, utilising machine learning for improvement and development purposes Develop, manage, and enhance hydrological and modelling methods Work closely with a team to support scientific research Liaise closely with clients and other stakeholders across the public and private sectors Required skills and experience for the role of Senior Environmental Data Scientist/Hydrologist include: A UK Bachelor's Degree (or equivalent qualification) in Civil Engineering, Environmental Science, or a cognate discipline Considerable experience of coding, particularly using Python and/or R Demonstrable experience of developing machine learning models, particularly when applied to environmental data Experience of working in a hydrological or water-centric environmental science role Confident ability in handling complex data sets, particularly those that are spatial and temporal in nature (e.g., NetCDF, ASCII, etc.) Outstanding communication and interpersonal skills, with the ability to present information accurately and concisely to a range of audiences Excellent literacy and numeracy skills Technically-minded Desirable skills and experience for the role of Senior Environmental Data Scientist/Hydrologist include: A UK Master's Degree (or equivalent qualification) in a relevant discipline Possess a full, valid UK Driver's Licence If you are interested in the role of Senior Environmental Data Scientist/Hydrologist, please do not hesitate to contact Caroline Davis at Penguin Recruitment. Please also see our website for a range of other roles currently available. This is a permanent role. Penguin Recruitment is operating as a recruitment agency in respect to this vacancy.

Job Title: Senior Environmental Data Scientist/Hydrologist Ref. No.: CJD2012S25 Location: Based near Oxford Salary: 35,000 - 42,000 This is a fantastic opportunity to join my client, an industry-leading, eco-conscious Multidisciplinary Consultancy, renowned for lending their expertise to projects across the Water, Transport, and Renewable Energy Sectors. They are actively seeking a talented, driven Senior Environmental Data Scientist/Hydrologist with demonstrable knowledge of hydrology and hydrological modelling, who is willing and able to lead a team through their delivery of several challenging projects. You will be based near the historical, academic city of Oxford. Benefits for the role of Senior Environmental Data Scientist/Hydrologist include (but are not limited to): Competitive salary, rising with experience Employee Pension Scheme Incredibly generous annual leave allowance A focus on work-life balance, with opportunities for hybrid/flexible working Healthcare plan Dedication to your Continuing Professional Development (CPD), with extensive career progression opportunities Delivery of a wide range of exciting engineering projects across the local region and beyond Responsibilities for the role of Senior Environmental Data Scientist/Hydrologist include: Contribute to the development of models and methods, utilising various software platforms, including Qube, CERF, FEH Flood Modelling Suite, ReFH2, and WINFAP5 Produce flow estimation, flood estimation, and catchment models Identify opportunities for developing hydrological models, utilising machine learning for improvement and development purposes Develop, manage, and enhance hydrological and modelling methods Support scientific research Liaise closely with clients and other stakeholders Required skills and experience for the role of Senior Environmental Data Scientist/Hydrologist include: A UK Bachelor's Degree (or equivalent qualification) in Hydrology, Civil Engineering, Environmental Science, or a similar, relevant discipline Demonstrable experience of coding, particularly using Python and/or R Considerable experience of developing machine learning models, particularly when applied to environmental data Experience of working in a hydrological or water-based environmental science role Confident ability in handling complex data sets, particularly those that are spatial and temporal in nature (e.g., NetCDF, ASCII, etc.) Outstanding communication and interpersonal skills, with the ability to present information accurately and concisely to a range of audiences Excellent literacy and numeracy skills Technically-minded Desirable skills and experience for the role of Senior Environmental Data Scientist/Hydrologist include: A Higher Degree in a relevant discipline Possess a full, valid UK Driver's Licence If you are interested in the role of Senior Environmental Data Scientist/Hydrologist, please do not hesitate to contact Caroline Davis at Penguin Recruitment. Please also see our website for a range of other roles currently available. This is a permanent role. Penguin Recruitment is operating as a recruitment agency in respect to this vacancy.

Decision Intelligence - Palantir Foundry, Lead Consultant, Senior Manager We are looking for a Senior Manager with deep Palantir Foundry expertise to lead the design and delivery of production-grade data and AI solutions. You will shape end-to-end architectures, lead multidisciplinary teams and work directly with senior client stakeholders to turn complex data, AI and process challenges into scalable Foundry applications. Key responsibilities Act as lead architect for Foundry, owning solution design from ingestion and pipelines through Ontology, applications and AI use cases. Translate business problems into Foundry use cases, technical designs and deliverable roadmaps. Design and oversee data pipelines, Ontology models, security and governance patterns and application workflows in Foundry. Guide teams of data engineers, software engineers and data scientists to deliver robust, secure and maintainable Foundry solutions. Integrate Foundry with wider enterprise platforms, cloud environments and downstream analytics tools. Build trusted relationships with senior stakeholders, shaping new opportunities and ensuring value realisation from the platform. Skills and experience Significant hands-on experience delivering Palantir Foundry solutions in complex client environments. Deep Foundry technical expertise across the full stack: Pipeline Builder, Ontology, Workshop, OSDK, Code Repositories, Actions and AIP or agentic capabilities, able to build production-grade applications not just prototypes. Strong proficiency in at least one relevant programming language such as Python or PySpark, Java, Typescript or SQL. Solid understanding of data engineering, data modelling, security and governance in enterprise settings. Experience with software engineering best practices including Git-based development, testing and CI or CD. Excellent communication and stakeholder management skills, with the ability to influence and align diverse technical and business audiences. Proven leadership in building, coaching and motivating technical teams. Sector experience in Financial Services, Government, Healthcare, Energy or Manufacturing is desirable. Eligibility for, or current possession of, government security clearance is an advantage. What you will receive You will join a specialist Foundry community, working on high-impact programmes with strong support for ongoing learning and certification. A competitive package typically includes flexible and hybrid working, health and wellbeing benefits, professional development support and paid volunteering or community days.

Job Title: Project/Product Manager Location: Glasgow, 3 days a week in NR office Employment Type: Contract Salary/day rate: Competitive Who are we? Infinitive is a growing and highly successful SME at the cutting edge of tech within the rail industry, utilising hardware, software and data. We have worked on many exciting, strategic & high-profile projects and we have an impressive list of clients such as Network Rail, Transport for Wales, Transport for London, Porterbrook & Keolis to name just a few. We are looking for Infinitive is seeking a dynamic and solution-oriented Project/Product Manager to lead the delivery of a regionally focused data project that address real-world operational challenges. Embedded within a the Network Rail Scotland region, you will work at the heart of local operations, collaborating with engineers, data scientists, analysts, and regional leadership to design, develop, and deploy bespoke data solutions that enhance efficiency, safety, and decision-making across the network. Key Responsibilities: Serve as the voice of the regional user base, identifying and prioritising local data-related problems and opportunities. Define the scope and user stories for regional data deliverables, ensuring alignment with broader Network Rail data strategies and technologies. Own and manage the product backlog, writing clear user stories and acceptance criteria that guide data engineering, science and visualisation teams. Collaborate with data engineers, data scientists, and visualisation experts to guide design of practical and innovative solutions. Facilitate workshops and user engagement sessions to capture requirements, validate concepts, and drive adoption. Ensure seamless integration of new data tools and services into existing operational workflows. Work closely with other regional data teams to ensure strong collaboration and knowledge sharing. Track product impact through usage metrics, user feedback, and performance indicators. Key Deliverables Clear and actionable product designs aligned with regional priorities. User stories, backlog (managed in Jira), and sprint goals for each iteration. Functional prototypes and production-ready data solutions (dashboards, pipelines, models, tools). Documentation and training resources for end users. Post-deployment reviews and continuous improvement plans.

Are you an experienced software engineer, familiar with Azure, Python Or Typescript and Mongo/ Atlas? Are you looking for a rare and exciting permanent software engineer lead role with a rapidly expanding SaaS business who are offering equity and the opportunity to build your own team? Our client is looking for an experienced software engineer who is looking for the next step in their career or has experience of building or leading a software engineering team. Whilst the role is remote working, the client is initially looking for someone to be based within a commutable distance of London (1 hour). This is a great hands-on coding role where you will be leading and challenging, whilst integrating LLM/ AI into a B2B workflow solution. More Detail: Build, Code, and Lead in a High-Velocity AI Startup Location: UK, greater London area (Hybrid, 1-2 days/week in-person) Role Type: Permanent, Full-time Reporting to: Founder & CEO Team Trajectory: Scaling from 2 to 8 engineers in the next 18 months Stage: Early-Stage B2B SaaS Our client is looking for a code-first leader to take ownership of engineering delivery for a growing AI-driven SaaS product. This is a career-defining "step-up" opportunity for a Senior or Lead Engineer who is ready to be a Head of Engineering . They do not need an enterprise manager, they need a builder who wants to lead, setting the technical tempo, and shipping value fast. You will have full autonomy to shape the engineering culture, keeping it lightweight, modern, and void of unnecessary ceremony. You will not be inheriting a massive legacy team or bureaucratic processes. Instead, you will take the reins of a lean, existing unit (1 Engineer + 1 Contractor) and lead the build-out of the engineering function over the next 18 months. You will define the culture, set the standards, and hire the squad that will take us from early traction to Scale-Up. What You Will Do: Lead & Code: In the early days, you are a player-coach. You will spend 80% of your time on architecture, code reviews, and shipping features, and 20% on strategy and management. As the team grows, this ratio will adopt. Define the rhythm: Establish a high-velocity shipping cadence. They value iteration over perfection. Pragmatic Architecture: Make technical choices that balance speed today with scalability tomorrow. Avoid over-engineering. Strategic Partner: Serve as the technical right hand to the Founder/CEO and product. You will translate business vision into technical reality, ensuring they ship fast without breaking the product. Pragmatic Modernization: Implement lightweight, effective engineering practices (CI/CD, Code Reviews, QA) that speed us up, not slow them down. AI Integration: Lead the engineering side of integrating AI/LLM components into a robust SaaS architecture. Build the Engine: Grow the team from its current size to 8 engineers by the end of 2026. You will drive the hiring strategy, spotting talent that fits a high-velocity startup. The Tech Stack (Modern & Simple): Core: Python and/or TypeScript. Infrastructure: Azure (Functions, Containers), Kubernetes (managed simply for deployment, not complexity). Data: MongoDB Atlas. AI: Integration of LLM/AI components into a B2B workflow. (beneficial) Philosophy: Event-driven components, CI/CD automation, "boring" tech where possible to move fast. The Person: Experience: You will have 4+ years of software engineering experience Startup DNA: You will have ideally spent at least 1 full year inside a true startup (Seed-Series B). Understanding that "process" should serve the code, not the other way around. You know how to operate with limited resources and tight deadlines. Technical Authority: You can confidently architect, code, and debug. This is a hands-on role - not a people-management-only position. Leadership Potential: You have ideally mentored engineers or led a small squad (2-6 people) and are ready to take full ownership of a function. Technically Versatile: You understand modern cloud-native development and can navigate the ambiguity of integrating AI features without needing to be a Data Scientist. Transparent: You communicate bad news early and good news often. You don't hide behind technical debt. Our client is offering a basic salary of 60,000 - 65,000 (possible more) depending on experience plus equity of the business. If you are looking to join a forward-thinking and rapidly expanding SaaS company then APPLY NOW in complete confidence or contact Dominic Quirke at Advancing People directly. Advancing People - The Recruitment Specialist Advancing People Ltd is an Equal Opportunities Employer and acts as both an Employment Business and Employment Agency.

This is a fantastic opportunity to work as a Data Scientist, working with Scientists, for a major pharmaceutical company, on a remote basis, outside IR35. The key skills required for this Data Scientist vacancy are: Extract knowledge and insights from image-based data Work with biomarker scientists and pathologists to interpret analysis results Data preparation, modelling, analysis and visualization If you do have the relevant skills for this Data Scientist vacancy, please do apply.

Data Scientist London - Hybrid Salary 70-75,000 % Bonus We're hugely excited to be working exclusively alongside a global Food & Beverage organisation, partnering their search for two talented Data Scientists. You can expect ahuge amount of autonomy and general appetite for Data Science in the wider business, as this award-winning group look to upscale their Data Science & AI arm. What you can expect: A very greenfield landscape to work on; working closely with individual teams to understand, model, and ultimately apply the best use of Data Science. As such, you can expect a fair bit of internal stakeholder management as you understand team briefs. A huge amount of support from the Head of AI and wider tech team. They've recently bolstered the team with some hugely influential AI leaning hires, meaning the general Data Science roadmap is filled with exciting projects and support from the wider business. For your Data Science skills to grow exponentially. You'll no doubt be spinning a lot of plates, but you can expect to be working on a huge variety of technical projects, working in tandem with the wider AI team. Desired background/ skillset: You'll have a solid couple of years creating and delivering advanced analytical projects and advanced modelling techniques using Python & SQL. Bonus points for exposure to Databricks! You'll likely be someone adept at spinning multiple plates at once and experienced in taking project briefs in some capacity. A natural Data storyteller, someone who loves to use their technical toolkit to create compelling data driven stories. This is one of the most varied and equally exciting Data Science roles we've worked in a while. If you feel this could be well suited, please apply with an up to date CV and we can take it from there.

Are you ready to make a strategic impact and help shape the future of the UK's energy sector? At UK Power Networks, we are searching for a talented Data Scientist to lead the development of predictive workforce models that will support our operational needs, regulatory commitments, and ambitious Net Zero goals for the upcoming price control period (Apply online only . Join us at our Human Resources team in London and contribute to ensuring our business stays ahead in meeting both customer expectations and Ofgem requirements. You will have the opportunity to take ownership of forecasting workforce demand, analyse large datasets for trends and actionable insights, and present your findings in ways that inform and influence key business decisions. Your expertise in Python, statistical methods, causal modelling (such as Chain Modelling), and data visualisation will be integral as you collaborate with HR, business leaders, and cross-functional teams to deliver robust, future-focused workforce planning. Imagine your insights not only shaping long-term strategy but also helping secure the operational resilience and sustainability of the UK's energy infrastructure. If you have hands-on experience with Databricks, GitHub, and a background in data-driven modelling within a corporate environment, all the better. We're seeking someone with a degree in Maths, Economics, Data Science, Statistics, Computer Science or a related field, with proven experience in analytics and workforce modelling. In return, we offer a competitive salary dependent on your experience, a 7.5% bonus, and a generous benefits package including 25 days annual leave plus bank holidays, private medical cover, enhanced reservist leave, an excellent pension scheme, tenancy loan deposit, season ticket loan, tax-efficient benefits for cycling, home technology and green car leasing, occupational health support, retail discounts, discounted gym membership, and access to our Employee Assistance Programme. Applications close on 25/01/2026. If you are passionate about data science and eager to play a key role in the UK's energy transition, apply now and help us build a smarter, greener future.

AI Engineer - Lead As an AI Lead in the Business Services industry, you will be responsible for driving advanced analytics initiatives and leading a team to deliver data-driven insights. This role in London requires a strong technical background and leadership skills to oversee AI projects effectively. Client Details AI Engineer - Lead This opportunity is with a well-established organisation in the Business Services industry. The company is known for its focus on innovation and providing tailored solutions to its clients. With a collaborative and professional work environment, they are committed to delivering high-quality services. Description AI Engineer - Lead Lead the design and implementation of AI and analytics projects to support business objectives. Collaborate with stakeholders to identify opportunities for leveraging data-driven strategies. Oversee the development and deployment of machine learning models and algorithms. Manage and mentor a team of data scientists and analysts. Ensure the quality and accuracy of data used for decision-making processes. Stay updated on the latest AI trends and technologies to incorporate into business solutions. Develop and present comprehensive reports on AI initiatives and their impact. Ensure compliance with data privacy regulations and best practices. Profile AI Engineer - Lead A successful AI Lead should have: A strong background in analytics or a related field within the Business / Financial Services industry. Experience with Generative AI, Large Language Models (LLMs), and advanced frameworks like: LangChain, LangGraph, Haystack LlamaIndex, CrewAI, AutoGen, Transformers (Hugging Face) and RAG pipelines. Proven experience in leading teams and managing complex AI projects. Expertise in machine learning, data modelling, and advanced statistical techniques. Strong programming skills in relevant languages such as Python or R. Exceptional problem-solving skills and attention to detail. Excellent communication and stakeholder management abilities. Knowledge of data privacy regulations and ethical AI practices. Job Offer AI Engineer - Lead Competitive annual salary ranging from 85,000 to 100,000. Comprehensive benefits package. Opportunity to work in a professional and innovative environment in London. Chance to lead a talented team within the Business / Financial Services industry. If you are passionate about AI and analytics and ready to take the next step in your career, apply now to join this exciting opportunity.

Job Title: Senior Environmental Data Scientist/Hydrologist Ref. No.: CJD1001S26 Location: Based near Oxford Salary: 35,000 - 42,000 This is a wonderful opportunity to join my client, a highly-regarded, environmentally-savvy Multidisciplinary Consultancy, renowned for lending their expertise to projects across the Water, Transport, and Renewable Energy Sectors. They are currently seeking a talented, enthusiastic Senior Environmental Data Scientist/Hydrologist with demonstrable knowledge of hydrology and hydrological modelling, who is keen to lead a team through their delivery of several challenging projects. You will be based near the beautiful, academic city of Oxford. Benefits for the role of Senior Environmental Data Scientist/Hydrologist include (but are not limited to): Competitive salary, rising with experience Employee Pension Scheme Very generous annual leave entitlement A focus on work-life balance, with possibilities of flexible/hybrid working Healthcare plan Dedication to your Continuing Professional Development (CPD), with excellent career progression opportunities Delivery of a wide range of exciting engineering projects across the local region and beyond Responsibilities for the role of Senior Environmental Data Scientist/Hydrologist include: Contribute to the development of models and methods, utilising various software platforms, including Qube, CERF, FEH Flood Modelling Suite, ReFH2, and WINFAP5 Produce flow estimation, flood estimation, and catchment models Identify opportunities for developing hydrological models, utilising machine learning for improvement and development purposes Develop, manage, and enhance hydrological and modelling methods Provide dedicated support to scientific research Liaise closely with clients and other stakeholders, across the public and private sectors Required skills and experience for the role of Senior Environmental Data Scientist/Hydrologist include: A Bachelor's Degree in Hydrology, Environmental Science, or a cognate discipline Demonstrable experience of coding, with particular familiarity with Python and/or R Considerable experience of developing machine learning models, particularly when applied to environmental data Experience of working in a hydrological or water-based environmental science role Confident ability in handling complex data sets, particularly those that are spatial and temporal in nature (e.g., NetCDF, ASCII, etc.) Excellent communication and interpersonal skills, with the ability to present information accurately and concisely to a range of audiences Good literacy and numeracy skills, particularly when applied to report writing Analytically-minded Desirable skills and experience for the role of Senior Environmental Data Scientist/Hydrologist include: A Higher Degree in a relevant subject area Possess a full, valid UK Driver's Licence If you are interested in the role of Senior Environmental Data Scientist/Hydrologist, please do not hesitate to contact Caroline Davis at Penguin Recruitment. Please also see our website for a range of other roles currently available. This is a permanent role. Penguin Recruitment is operating as a recruitment agency in respect to this vacancy.

Location: Wallingford, UK (Remote considered) Hours: Full-time (part-time considered) Closing Date: 9 January 2026 Shape the future of hydrology and climate resilience. Our client is offering an exciting opportunity for an ambitious, collaborative Environmental Data Scientist or Hydrologist to join our clients growing software development team in Wallingford. If you want to innovate, solve real-world water challenges, and influence national environmental tools, we'd love to hear from you. In this role you will play a key role in developing our hydrological methods, modelling tools, and national design-standard software. Working at the intersection of hydrology, data science, and software development, you'll contribute to new methodologies, develop machine learning approaches, and support the scientific foundations of our products. You'll help advance the science powering products such as: Qube - our clients online water resources modelling platform, incorporating the CERF rainfall-runoff model. FEH Flood Modelling Suite - ReFH2 and WINFAP5, the UK's trusted flood estimation tools. Your role: Develop and manage hydrological methods for Qube. Contribute to ReFH2 and WINFAP5 development. Explore and implement machine learning enhancements to hydrological models. Support scientific research and integrate findings into commercial software. Work closely with regulators and users to ensure compliance, quality, and usability. Required Skills & Experience A good degree (2:1+) in a numerate discipline (Hydrology, Environmental Science, Civil Engineering, etc.). Strong programming skills in Python and/or R. Experience developing machine learning models for environmental or complex datasets. Confidence working with spatial/temporal datasets (NetCDF, ASCII, etc.). Excellent communication skills for both technical and non-technical audiences. Demonstrable experience in hydrology or water-related environmental science. A relevant postgraduate qualification is welcome but not essential. What you can expect in year one: Build deep expertise in Qube, CERF, and the FEH flood modelling suite. Develop Python modules and apply ML methods to hydrological problems. Become familiar with UK water environment regulatory frameworks. Collaborate with leading UKCEH scientists and liaise with UK regulators. Produce high-quality technical reports. Begin your journey toward professional chartership (e.g., CIWEM). Following your first year, opportunities include: Influencing the strategic development of our software products. Leading R&D projects as a Project Manager. Helping develop client proposals. Contributing to our strategic marketing and product development plans. Benefits & Culture Our client is an employee-owned trust, who invests in their people and their wellbeing. 40+ days holiday (with buy/sell options). Profit-share and tax-free bonuses through employee ownership. Matched pension contributions (5-10%). Health plan, Cycle to Work, Environment Day. 5 days training per year, plus support towards chartership. Flexible working arrangements. Financial support for professional memberships Formal appraisal and personal development planning Flexible working hours High-quality IT infrastructure & personal computing budget Fun annual staff events (axe throwing, escape rooms, and more)

Lead Data Scientist, Telematics and Insurance London. Hybrid 1 to 2 days onsite Salary up to 110,000 plus bonus and benefits Working exclusively with my client, this role exists due to business expansion. The data science function launched in early 2023 and focuses on pricing and telematics driven products. The team already delivered over 20 percent profitability uplift across core insurance products using price optimisation models. The role owns data structure and value extraction from large scale telematics data. The focus sits on turning driving behaviour into clear pricing and operational decisions for insurance products. The business operates a champion challenger framework. The team delivers frequent model improvements through strong code standards and repeatable processes. Work happens at pace and at scale. What you will do: You will lead technical delivery across telematics data science. You will shape how data turns into pricing value and operational insight across the wider business. Day to day responsibilities Design and deliver analytical solutions using telematics data Lead development of scoring and pricing algorithms Own end to end machine learning pipelines from data through production Work hands on with Python and Databricks Build repeatable and product agnostic training and serving frameworks Translate model outputs into clear guidance for pricing, operations, and finance Provide technical leadership and mentoring Challenge existing approaches within insurance pricing Take full ownership of delivery approach and outcomes Technology environment Python Databricks Large scale and streaming data Spark or Kafka style processing Tree based models and deep neural networks Production grade machine learning systems What my client look for Essential experience Senior level data science delivery Large scale or time series data End to end machine learning delivery in production Strong Python engineering Solid statistical foundations Proven commercial impact from models delivered Desirable experience Telematics or sensor based data Insurance or pricing domain exposure Experience leading small teams Evidence of idea generation and product thinking What you will work on over the next 6 to 12 months Core telematics pricing models Expansion into fleet and taxi products New data driven insurance propositions Shaping long term data science strategy Building a team around this capability Why join This role offers full ownership of a high growth data product. The business doubled in size recently and plans further growth. You influence tooling, platforms, and technical direction. You build long term capability and there is an opportunity to grow a team further down the line. Please apply for more information if this sounds like a role for you.

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

Data Engineer Asset Performance & Renewable Energy Analytics The opportunity An established renewable energy and digital solutions business is expanding its Asset Performance Management (APM) technology team and is hiring an experienced Data Engineer to support large-scale operational renewable assets. This role sits within a product-focused engineering group responsible for building and scaling data platforms used to monitor, optimise, and improve the performance of wind, solar, and energy storage assets globally. You will work closely with software engineers, data scientists, and platform teams to design and operate high-quality data pipelines that directly underpin operational decision-making and analytics for live energy assets. Key responsibilities Design, build, and maintain scalable data pipelines using Databricks (including Delta Live Tables). Develop robust ETL/ELT workflows ingesting data from operational, telemetry, and third-party systems. Optimise pipeline performance, reliability, and cost efficiency in cloud environments. Ensure data quality, lineage, governance, and documentation across production systems. Collaborate cross-functionally with analytics, product, and platform teams. Support CI/CD automation for data pipeline deployment. Contribute to reusable frameworks and engineering best practices within the team. Essential experience Candidates must have prior, hands-on experience working with at least one of the following APM platforms : Power Factors Bazefield GPM This experience is critical, as the role involves working directly with data models, integrations, and operational outputs from these platforms. Technical requirements Proven experience as a Data Engineer in production environments. Strong Python and SQL skills. Hands-on Databricks experience (DLT, Delta Lake; Unity Catalog desirable). Solid understanding of data modelling, data warehousing, and distributed systems. Experience with cloud data platforms (Azure preferred; AWS or GCP acceptable). Familiarity with Git-based workflows and CI/CD pipelines. Exposure to analytics or ML-driven use cases is beneficial. Nice to have Databricks certifications (Associate or Professional). Experience supporting asset-heavy or industrial environments. Background in energy, utilities, or infrastructure data platforms. Why this role Work on live, utility-scale renewable assets rather than abstract datasets. High-impact role within a mature but fast-evolving digital platform. Strong engineering culture with real ownership and technical influence. Long-term stability combined with ongoing platform growth and investment.

Data Scientist - ML & Consumer Lending South West, UK Hybrid working, strong salary dependent on experience The client South West based, modern office hub, and a major consumer lending portfolio. This is a chance to join a well known financial services group that is investing heavily in data, Applied Data Science, and Machine Learning to stay ahead of the market and improve how it serves its customers. The business is moving towards cloud native, production grade ML, backed by senior leaders who see Data Science as central to the next chapter of growth. You will sit close to real decision making, working with product, risk, and engineering teams to turn data and ML into tangible customer outcomes. The role You will join a growing data science team focused on credit cards and wider consumer lending. Your work will span the full ML lifecycle, from exploratory analysis and model build, through to working with ML Engineers to get models into production and keep them performing as the data strategy matures. The team is open to Data Scientists at different stages, from those looking to build on a first industry role, through to more experienced practitioners who want broader ownership and influence. What you will be doing Building and enhancing Python based ML models across the credit card portfolio Using SQL on large, complex datasets to engineer robust, reusable features Partnering with ML Engineers to deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping non specialists act on the insights What we are looking for Strong grounding in statistics and or Machine Learning, plus solid Python Confident SQL skills and experience with real world, messy datasets Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will join a friendly team that values curiosity, knowledge sharing, and personal growth. There is genuine scope to shape how ML and AI are used in the business, whether you see your future in deeper technical expertise or in a more leadership focused path. If this sounds like the kind of environment you want to be part of, we would love to hear from you.

Senior Data Engineer London 2-3 days on-site 65,000 - 72,000 + 20% Bonus + Excellent Benefits Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Databricks Strong working knowledge Azure Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.

Data Scientist - 6-Month Contract (Inside IR35) Rate: 400 per day Location: Mostly remote with occasional visits to London office Clearance: BPSS clearable Start: Jan 2026 We're looking for an experienced Data Scientist to join a 6-month project focused on improving healthcare screening strategies. You'll work on impactful questions around population changes, geographical factors, and operational models for screening services. Key Requirements: Strong skills in Python, Pandas, SQL, and data wrangling Experience with BI tools and data visualization Previous medical sector experience is essential BPSS clearability Comfortable working in Agile environments What's in it for you? Mostly remote working Opportunity to make a real difference in healthcare delivery Collaborative and dynamic team environment To discuss this role further please submit your CV or contact Brandon Forbes 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.

Microsoft AI Engineer / Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer / Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer / Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer / Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary 60,000- 90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business Role requirements Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please do send through a cv- good luck To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales

Databricks Engineer - 400PD - Remote About the Role We are seeking a highly skilled Azure Data Engineer with deep, hands-on Databricks experience to join our growing data engineering team. In this role, you will design, build, and optimise scalable data pipelines and lakehouse architectures on Azure, enabling advanced analytics and data-driven decision making across the business. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high-performance data solutions using Azure Synapse, Azure Data Factory, and Databricks workflows Implement best practices for data governance, security, and quality across all pipelines. Collaborate with data scientists, analysts, and cross-functional teams to deliver reliable, production-grade data models. Monitor and tune pipeline performance to ensure efficiency, reliability, and cost optimisation. Participate in CI/CD processes and infrastructure-as-code solutions using tools like Terraform, GitHub Actions, or Azure DevOps Required Skills & Experience 3+ years' experience as a Data Engineer working in Azure environments. Strong hands-on experience with Databricks (PySpark, Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse / SQL Pools Azure Key Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts, and distributed computing. Familiarity with CI/CD, version control, and DevOps practices. Nice-to-Have Experience with streaming technologies (e.g., Spark Structured Streaming, Event Hub, Kafka). Knowledge of MLflow, Unity Catalog, or advanced Databricks features. Exposure to Terraform or other IaC tools. Experience working in Agile/Scrum environments. 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.

Spatial AI & ML Data Scientist (ArcGIS, Python) 10 Months (part-time) Remote 400 to 500 a day (Outside IR35) Currently looking for a Data Scientist to Design, build, and validate AI/ML models for geospatial products: Essential Skills 5+ years in AI/ML model development and predictive analytics Strong spatial data science and GIS skills (QGIS, ArcGIS, Python GIS stack) Proficient in PyTorch, YOLO, AWS/Azure Experience with UK socio-environmental datasets (IMD, ONS, land use) Ability to integrate models into offline/on-prem environments Excellent communication and stakeholder management skills Desirable Skills Environmental risk modelling or urban analytics experience Knowledge of geostatistics and spatial interpolation Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

We are looking for a Data Scientist to develop and deploy advanced analytics and optimisation solutions in a manufacturing environment. The role involves applying modelling, optimisation, and simulation techniques to improve operational efficiency and deliver production-ready solutions. Key Responsibilities Apply exploration-exploitation methods and optimisation techniques (surrogate models, Bayesian optimisation, imitation learning). Build dynamic feedback control models and stochastic simulation models. Develop and solve Linear Programming and other optimisation problems. Deliver end-to-end, productionised analytical solutions using MVP/test-and-learn approaches. Apply strong coding practices, version control, CI/CD, and maintain analytics infrastructure in Azure (including Databricks). Work with cross-functional teams to define problems, test solutions, and implement improvements. Qualifications . Strong skills in optimisation, simulation, or machine learning. Proficient in Python and cloud platforms (Azure preferred). Randstad Technologies is acting as an Employment Business in relation to this vacancy.

The Lead solution Architect for Data, Analytics and AI will focus on leading delivery of high-quality, compliant, and scalable DATA/AI solutions across our portfolio. This role involves developing offerings, Sales support and delivery. This role requires a strategic and hands-on approach to drive data-driven decision-making, deliver actionable insights, and enhance business performance by incorporating Artificial Intelligence and Machine Learning for Expleo's clients. The successful candidate will provide technical leadership to a team of data scientists, analysts, and AI data engineers, collaborating closely with cross-functional teams to develop innovative data solutions and drive growth opportunities. Leadership and Strategy: Help the Service head to define the data and analytics vision, strategy, and roadmap aligned with the firm's goals. Align the data and analytics strategy with the firm's overall goals and objectives. Provide leadership and guidance to the team, fostering a culture of innovation, collaboration, and continuous improvement. Identify emerging trends and technologies in data, analytics, and AI to drive competitive advantage. Client Engagement: Engage with clients to understand their data, analytics, and AI needs, challenges, and objectives. Translate client requirements into actionable data and AI strategies, solutions, and deliverables. Lead solution workshops with client stakeholders Act as a trusted adviser to clients, demonstrating expertise in data-driven decision-making and analytics. Data and AI Analysis and Insights: Oversee the design, development, and execution of data models, algorithms, and analytical frameworks. Drive data exploration, visualization, and interpretation to extract meaningful insights. Present findings and recommendations to clients and internal stakeholders in a clear and compelling manner. Data Governance and Compliance: Develop and implement data governance policies, procedures, and best practices to ensure data quality, integrity, and security. Ensure compliance with data privacy regulations and industry standards. Stay updated on evolving data regulations and proactively adapt the firm's practices accordingly.

Manpower are currently seeking an interim Product Performance and Data Scientist to work with our global FMCG client Unilever, renowned for brands such as Dove, Sure, Persil, and Simple, and become an integral part of their fast-paced FMCG environment. The position is based at our client's scientific Research & Development facility in Port Sunlight Village, Wirral easily accessible by train and car. This is a full-time temporary role to run for 12 months, requiring 37.5 hours per week, Monday to Friday. Compensation for this role is competitive, paying up to 31,205 per annum, pro rata, depending upon experience. Unilever is a major worldwide player in the hair care industry with a significant number of leading brands, including Tresemme, Sunsilk, Dove and Nexxus, that rely on innovation and functional performance to deliver to every consumer's diverse product needs. A role is available for a motivated and creative individual within our Consumer and Technology Insights team. In this role, you will have responsibility in generating new insights and data from our extensive Hair Category instrumental and consumer evaluation capability. This role will require the mining of large data sets, the manipulation of data and generation of new insights that are clearly communicated to direct product innovation. There maybe a requirement to create new empirical data through several measurement techniques in order to further support newly generated insights. You will also be tasked to improve the analysis and visualisation of data as well as determine improvements to the efficiency and effectiveness of the Hair Category capability through the optimisation of instrumentation, methods and data handling processes, and the building of links between objective measures of performance and consumer perception. You will work closely with multi-disciplinary project teams across the Unilever Global and Regional Hair Businesses to identify their respective instrumentation and performance evaluation needs to take new technologies and products to market, and with them define the direction of the Hair Category measurement capability programme. This position is an excellent opportunity for someone with a passion for technical insight building and data handling and seeking to join a dynamic measurement community within Unilever. KEY RESPONSIBLTILES: Lead aspects of the Hair Category's technical performance evaluation capability workstream, driving continuous improvement in measurement capability efficiency and effectiveness. Define and implement data analysis and generic support plans for new and current active materials and products to demonstrate functional performance and generate claims substantiation data through own modelling and experimentation. Provide technical insights through the review and analysis of data from multiple sources, adding value by combining knowledge streams and/or developing performance and insight models. Provide support to the innovation and capability workstreams within CTI measurements. THE IDEAL CANDIDATE Within a data driven scientific role, you will have significant experience in data management, analysis, visualisation and communication of insights. You will have experience in leading your own projects and designing new, more efficient methods of data analysis in order to extract actionable insights. Along with this, you will have demonstrated an ability to set project plans and manage stakeholders. You will have had experience of establishing relationships or partnerships within or external to your immediate team. You will possess: BSc or MSc (or equivalent) in Data science, Physical Sciences (including Physics, Materials Science, Polymer Science, Chemistry or Metrology) Strong science background in Data analytics, Chemistry, Physics, Metrology or closely related subject Proven experience in an industrial or academic data or measurement sciences area Ideally, you'll have experience in a FMCG environment. Experience in healthcare, pharma, foods or other relevant research fields will be considered Experience in software development / data packages would be beneficial Experience in stakeholder management and multi-interfaces must be demonstrated Ability to interpret complex data from multiple sources, generating concise, clear insights and conclusions for communication to a variety of audiences. Strong data handling, analysis and interpretation skills are essential, and significant experience in data handling using MS Excel, or other data tools and programmes, and statistical analysis and model building using JMP or SAS, or similar, is beneficial. Port Sunlight working environment: Free onsite parking Staff shop discounted products Working in state-of-the-art laboratory and pilot plant facilities Free parking onsite 5 mins walk to train station serving Liverpool & Chester 20-minute drive from Liverpool city centre/30-minutes drive from Chester Disabled parking In the heart of picturesque Port Sunlight village There are also several site clubs available to join covering a range of topics including Book Club, Running, Choir, Pool, Genealogy and much more. The sites have three catering outlets which provide a range of hot and cold food and drinks daily. In addition there are a range of vending machines and cold water dispensers around the site accessible throughout the day.

Data Scientist - Contract - 12 months+ I have a great contract opportunity for a strong Data Scientist. My London based client is looking for someone with excellent experience in the manufacturing and packaging industry. You need to have excellent Stochastic Simulation / Linear Processing - not your classic data scientist. We are also looking for someone with an analytical mindset focussing on explorations/exploitation of current data models. Location : Hybrid (2/3 days London. Some overseas travel). Length : 12 months with strong view to extend IR35 Status : Inside Rate : Dependent on experience. Required experience will include: Strong Python Programming skills. Strong design and development skills using Python. Python's libraries for machine learning: PySpark, Pytorch, scikit-learn and pandas. Technical experience using Databricks and MLFlow (Other Platforms can be considered). Good understanding of software code review standards - CI/CD. Stochastic Simulation modelling experience. If you are interested in this Data Scientist role please apply with your most recent CV. Alternatively email me on Jordan co . uk Data Scientist - Contract - 6 months+ Randstad Technologies is acting as an Employment Business in relation to this vacancy.

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/potential Perm role) 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! apply 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.

Job Title: AI Engineer/Data Scientist Location: Sheffield or Birmingham - 3 days per week in the office - only candidates within commutable distance will be considered by the client Salary/Rate: 500 per day inside IR35 Start Date: 29/01/2026 Job Type: Contract - 6 months Company Introduction We have an exciting opportunity now available with one of our sector-leading financial services clients! They are currently looking for a skilled AI Engineer/Data Scientist to join their team for an initial 6-month contract. Job Responsibilities/Objectives The Onboarding and Know Your Customer Value Stream incorporates onboarding products, platforms, and a delivery capability particularly suited to client-aligned agile delivery at pace. They are investing heavily across these domains with a strategic focus on increasing adoption of AI capabilities through our flagship AI journeys, day-to-day engineering and overall ways of working. To accelerate achieving our vision , we are seeking an experienced AI Engineer to join the Client Services and OBKYC Technology group. Building production-ready models to drive content extraction and classification from images and text-based sources. Working closely with business teams to understand requirements and iteratively design and develop solutions. Collaborative with product managers, technical teams. Create, test and iterate new and existing products and features. Designing and building Python/ML/OCR-based components. Not only supporting the development of the product, but also the full lifecycle including the deployment, testing and production support of the application. Required Skills/Experience The ideal candidate will have the following: Strong experience in Document AI/Intelligent document processing using traditional models and Generative AI - particularly in using open source models for achieving business outcomes. Experience delivering to production in Python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. Desirable Skills/Experience Although not essential, the following skills are desired by the client: Experience using PostgreSQL for data storage and management. Proficiency with Azure core services like Azure Virtual Machines and experience with one or all of Azure CLI, Azure Kubernetes Service (AKS) and Azure DevOps Experience delivering in teams releasing at a high cadence to production.

We are seeking a senior AI Technical Architect within a secure UK Government environment. You will bridge the gap between high-level stakeholder strategy and hands-on implementation of Generative AI and Large Language Models (LLMs). Hybrid - 2 days week from London Office. Key Responsibilities Architecture & Governance: Lead the design and deployment of on-premises, hybrid, and cloud-native AI solutions. GenAI Implementation: Hands-on deployment of Azure OpenAI, Vector Databases, and RAG patterns. Data Engineering: Oversee large-scale data processing using Python and PySpark to support AI model fine-tuning. Leadership: Manage technical delivery teams and deliver upskilling sessions to the customer. Stakeholder Management: Gain consensus on complex technical roadmaps with diverse client groups. Technical Skills & Experience Core AI: Azure OpenAI, Prompt Engineering, Cognitive Search, Form Recognizer. Data/Coding: Expert-level Python, PySpark, and Vector DB integration. Ops: Practical knowledge of MLOps and LLMOps lifecycles. Security: Must hold active UK Government SC Clearance. Certifications Mandatory: AZ-204 (Azure Developer Associate). Preferred: AZ-305 (Solutions Architect), AI-102 (AI Engineer), or DP-100 (Data Scientist Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Applied analytics for RF hardware, signal processing and machine learning South Cambs / Essex; £60,000 to £90,000 DoE This applied AI start-up has proprietary technology around ML modelling for RF signal characterisation and modification. Their solutions have significance for military applications around drone detection and defence. Due to further projects, they are looking to recruit a Senior Data Scientist Research Engineer to take a leading role on their applied RF work and help advance their signal processing pipelines, and ultimately develop next generation prototype technologies. You re likely be a PhD holder in electronics, physics or computer science and have significant skills and experience in the following areas: - Expert Python proficiency for data analysis and prototyping (NumPy, SciPy, PyTorch). - Demonstrable applied experience of digital signal processing (FFT, modulation, noise modelling, resampling). - Experience with SDR frameworks (GNU Radio, SDRangel, SoapySDR). - Understanding of RF hardware (antenna, filters, mixers) including baseband data. - Experience analysing wireless protocols (Wi-Fi, LTE, LoRa). Due to the engineering aspects of projects, the ability to confidently use RF lab equipment (spectrum analysers, signal generators) would be desirable. Similarly, any exposure to embedded or real-time systems; MATLAB, C++ or Rust; or RF circuit fundamentals would be beneficial. Your application would significantly stand-out if you have publications or patents in RF-ML, especially relating to drone / autonomous technologies. Due to the nature of projects, the role would be fully onsite at offices based close to the Cambridgeshire and Essex border (commuting by car from Cambridge, Chelmsford, Royston, Bishop's Stortford is all possible). On offer is an excellent opportunity to join this start-up, work with like-minded people on interesting projects with real world applied impact. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27540 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

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.

Our client an award winning SaaS organisation providing software solutions to the SME marketplace is now seeking an experienced Data Scientist for a 12 month contract. You will be assisting in the company transition from correlation-based reporting to causal-based decision making, helping guide key marketing investment decisions. Central London location, hybrid, with 2-3 days a week in the office. Responsibilities Forecasting: Build predictive models to simulate business outcomes under various economic and budgetary scenarios, acting as the "radar" for the marketing department. Serve as the analyst lead for the Data Clean Room (DCR) strategy, specifically within Meta Advanced Analytics (AA) SQL: Write and optimize advanced SQL queries Learning Agenda & Causal Experimentation. Design and execute rigorous Conversion Lift Studies (CLS)and Brand Lift Studies (BLS). Skills 5+ years of experience working in marketing science or data analytics teams. B.Sc. Economics, Statistics, Mathematics or Data Science. SQL: Advanced level. Ability to write complex CTEs, window functions, and optimize joins for distributed systems. Experience with Marketing Mix Models (MMM). Understanding of Bayesian inference, Adstock transformations, and saturation curves. Useful experience Hands-on experience with at least one major DCR environment. Deep understanding of hypothesis testing, confidence intervals, p-values, and selection bias. Understanding of AdTech and paid media mechanics, margin profiles. Benefits Global company, long contract Hybrid role Free breakfast

I'm working with a world-class technology company in Edinburgh to help them find a Lead Data Engineer to join their team (hybrid working but there is flex on this for the right person). This is your chance to take the technical lead on complex, large-scale data projects that power real-world products used by millions of people . The organisation has been steadily growing for a number of years and have become a market leader in their field so it's genuinely a really exciting time to join! You'll be joining a forward-thinking team that's passionate about doing things properly using a modern tech stack , cloud-first approach, and a genuine commitment to engineering excellence. As Lead Data Engineer, you'll be hands-on in designing and building scalable data platforms and pipelines that enable advanced analytics, machine learning, and business-critical insights. You'll shape the technical vision , set best practices, and make key architectural decisions that define how data flows across the organisation. You won't be working in isolation either as collaboration is at the heart of this role. You'll work closely with engineers, product managers, and data scientists to turn ideas into high-performing, production-ready systems. You'll also play a big part in mentoring others , driving standards across the team, and influencing the overall data strategy. The ideal person for this role will have a strong background in data engineering , with experience building modern data solutions using technologies like Kafka , Spark , Databricks , dbt , and Airflow . You'll know your way around cloud platforms (AWS, GCP, or Azure) and be confident coding in Python , Java , or Scala . Most importantly, you'll understand what it takes to design data systems that are scalable , reliable and built for the long haul. In return, they are offering a competitive salary (happy to discuss prior to application), great benefits which includes uncapped holidays and multiple bonuses! Their office in central Edinburgh is only a short walk from Haymarket train station. The role is Hybrid (ideally 1 or 2 days in office), however, they can be flex on this for the right candidate. If you're ready to step into a role where your technical leadership will have a visible impact and where you can build data systems that continue to scale then please apply or contact Matthew MacAlpine at Cathcart Technology. Cathcart Technology is acting as an Employment Agency in relation to this vacancy.

Location: Saffron Walden Job Type: Permanent Hours: Monday-Friday, 9.00-17.30 Salary: Competitive Job Reference: 35947 Polytec are seeking a Senior RF Data Scientist / Research Engineer to develop signal-processing and machine learning solutions using RF data from software-defined radios for our Saffron Walden based client. This hands-on role sits at the intersection of RF hardware, DSP and applied ML in a fast-paced RandD environment. Responsibilities: Analyse and characterise IQ data from SDR platforms Build RF signal analysis and visualisation tools Design RF data-processing pipelines accounting for real-world hardware effects Develop ML and statistical models for RF classification and detection Prototype batch and real-time processing systems in Python and integrate with GNU Radio or C++ backends Support RF data collection and over-the-air testing Requirements: Strong Python skills for data analysis and prototyping Solid understanding of digital signal processing fundamentals Experience with SDR frameworks such as GNU Radio or similar Understanding of RF hardware chains and their impact on baseband data Experience analysing wireless protocols or physical-layer behaviour Comfortable working in iterative, experimental RandD environments Desirable: Hands-on SDR and RF lab experience Exposure to techniques such as direction finding, Doppler, or beamforming Experience beyond Python (e.g. C++, MATLAB) Knowledge of RF circuits or antenna systems Publications, patents, or open-source contributions Please contact us as soon as possible for more details or apply below!

Head of Data Science Salary: 110K - 120K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science

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

AI Engineer - Transform Government Communications with Cutting-Edge AI. Are you passionate about leveraging AI to drive impactful change? We are seeking an AI Engineer with experience in Large Language API's (from 2021), Generative AI and Python, to play a pivotal role in shaping and enhancing AI products for Government. This role is fully remote and Inside IR35. 6 Month contract. Why Apply: 1. Innovative Impact: Be part of a team that has successfully launched Assist, an award-winning service that saves users an average of three hours per week. Assist is a business-critical tool for over 6500 Civil Servants across more than 300 public sector organisations. 2. Future-Focused: Engage with an exciting roadmap that includes developing synthetic AI-driven audiences and personalisation capabilities. Your work will directly contribute to the next generation of AI solutions within the public sector. 3. Collaborative Environment: Work alongside Developers, Data Scientists, User Researchers, and a Product Manager in an agile setting. Your contributions will be integral to the iterative development of a leading AI product. Key Responsibilities: - Maintain and iterate a web API using FastAPI, hosted on Amazon Web Services (AWS). - Develop improvements to Assist, focusing on data ingestion, UI updates, and agentic possibilities. - Design and deliver new capabilities, such as conversational AI-powered synthetic audiences. - Collaborate with a Product Manager and other Software Developers to organise and complete tasks. - Contribute to technical decision-making, including Generative AI solutions around Retrieval Augmented Generation (RAG) and prompt engineering. - Document and maintain Agile project responsibilities. - Develop features around sentiment analysis, data ingestion, and synthetic audience creation. Skills and Experience: - Proven experience in building Large Language Model-based applications incorporating tool usage and information retrieval. - Proficiency in Python programming. - Experience administering Amazon Web Services accounts. - Ability to take ownership of the entire feature development life cycle, from development and testing to deployment. - Experience in agile product delivery, working within a small interdisciplinary team. Be at the forefront of transforming government communications through AI. Your expertise will help shape a product that delivers real impact for the public, making a tangible difference in the efficiency and effectiveness of government services. For further information, contact Andrew Medhurst at Inspire People. Inspire People is acting as an employment business to the end user and candidates.

Assistant Coastal Data Scientist Location: Atlantic Trading Estate, Barry, CF633RF Start Date: ASAP Contract Duration: 3+ Months Working Hours: Mon Fri, 09 00, 37 Hours per week Pay Rate: £ 12.65 per hour Job Ref: OR12813 Job Responsibilities Assist in the collection, analysis, and interpretation of coastal data to support environmental and infrastructure projects. Collaborate with cross-functional teams to integrate data insights into strategic planning and decision-making processes. Utilize GIS software and other data analysis tools to visualize and present findings effectively. Contribute to the development of predictive models and simulations for coastal management and risk assessment. Support the preparation of technical reports and presentations for stakeholders and decision-makers. Person Specifications Bachelor's degree in Environmental Science, Data Science, Geography, or a related field. Strong analytical skills with experience in data collection and analysis, preferably in a coastal or environmental context. Proficiency in GIS software and statistical analysis tools. Excellent communication and teamwork skills, with the ability to collaborate effectively with diverse teams. Detail-oriented with strong problem-solving abilities and a proactive approach to challenges. DISCLAIMER: By applying for this vacancy, you consent to your personal information being shared with our client and any relevant third parties we engage with, for the purpose of assessing your suitability for the role. You acknowledge that it is your responsibility to inform i-Jobs in advance if there are any specific organisations or hirers to whom you do not wish your details to be disclosed.

Head of Data & Modelling Bristol or Redhill (3 days/week in office,flexible for the right person) £103,000-£120,000 + Car Allowance + Bonus + Health + Pension (up to 16%) Ready to lead a data-driven transformation from the front? As our Head of Data & Modelling , you'll be at the forefront of a bold, data-led evolution,using advanced analytics and cutting-edge technology to shape a smarter, more sustainable future. This is a blank canvas, a chance to define the future of data, drive enterprise-level change, and build a high-performance, insight-led business. I am looking for a Head of Data & Modelling who's a people-first visionary, not a technical wizard, someone who inspires teams, challenges the status quo, and turns complexity into clarity. You'll work closely with the Director of Business Evolution & Innovation and have full autonomy to build, run, and grow your division. As Head of Data & Modelling , you'll be trusted to lead from the front and bring strategy to life across the organisation. What You'll Do: Lead and inspire a high-performing team of data scientists, modellers, and engineers Design and deliver enterprise-wide data and modelling strategy Harness AI, ML, IoT, and GIS to unlock new possibilities Drive decision-making through forecasting and modelling Collaborate across IT, engineering, asset management, and regulatory bodies What You'll Bring: Proven leadership of large teams (up to 100) Experience delivering enterprise-level transformation Comfort with ambiguity and building structure from scratch Familiarity with SQL Server, Power BI, Azure, AWS, SCADA Ability to connect tech, people, and business outcomes You don't need to be the subject matter expert, you need to be the Head of Data & Modelling who brings it all together. If you're excited by challenge, motivated by impact, and ready to make your mark as the next Head of Data & Modelling , I'd love to hear from you. Email - (see below)

I am working with a consultancy feeding into a Medical end client. Inside IR35 contract 2 x a week in Cambridge Around £400 per day Required Skills & Experience: 8+ years of experience into QA Proven experience as a Test Engineer/QA Engineer in a similar role with strong experience to AI/ML projects. Strong programming skills in Python (pytest, unittest, or other test frameworks). Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines. Strong problem-solving skills and ability to communicate technical issues clearly. Key Responsibilities: Design and implement test plans for AI/ML applications, APIs, and pipelines. Validate machine learning models, ensuring accuracy, fairness, and robustness. Develop automated testing frameworks for data pipelines, model training, and inference. Perform functional, integration, regression, and performance testing on AI systems. Work closely with Data Scientists and AI Engineers to identify and resolve issues.

Principal Data Engineer - Hybrid (London/Winchester) We're seeking a hands-on Principal Data Engineer to design and deliver enterprise-scale, cloud-native data platforms that power analytics, reporting, and Real Time decision-making. This is a strategic technical leadership role where you'll shape architecture, mentor engineers, and deliver end-to-end solutions across a modern AWS/Databricks stack. What you'll do Lead the design of scalable, secure data architectures on AWS. Build and optimise ETL/ELT pipelines for batch and streaming data. Deploy and manage Apache Spark jobs on Databricks and Delta Lake. Write production-grade Python and SQL for large-scale data transformations. Drive data quality, governance, and automation through CI/CD and IaC. Collaborate with data scientists, analysts, and business stakeholders. Mentor and guide data engineering teams. What we're looking for Proven experience in senior/principal data engineering roles. Expertise in AWS, Databricks, Apache Spark, Python, and SQL. Strong background in cloud-native data platforms, Real Time processing, and data lakes. Hands-on experience with tools such as Airflow, Kafka, Docker, GitLab CI/CD. Excellent stakeholder engagement and leadership skills. What's on offer £84000 salary + 10% bonus 6% pension contribution Private medical & flexible benefits package 25 days annual leave (plus buy/sell options) Hybrid working - travel to London or Winchester once/twice per week Join a company at the forefront of media, connectivity, and smart technology, where your work directly powers millions of daily connections across the UK.

Job Summary: We are seeking an experienced Informatica IDMC Developer to join our dynamic team. This is a key role within their data team that will see you driving forward exciting new data initiatives. You will help the organisation to implement what is needed to deliver strategic data platforms. This will include, but not limited to the end-to-end support for acquisition, organisation, integration, transformation, and secure storage of mission-critical data. Key Responsibilities: Informatica IDMC Management: Design, develop, and maintain data integration solutions using Informatica Intelligent Data Management Cloud (IDMC). Optimize IDMC pipelines for performance and reliability. Ensure data integrity and quality across various data sources and targets. Unix Systems: Develop and maintain scripts and processes on Unix/Linux systems to support data integration workflows. AWS Cloud Services would be added advantage: Implement and manage data solutions on AWS, including S3, EC2 services. Utilize AWS RDS databases for storing and managing structured data. Batch Orchestration: Design, implement, and manage batch job workflows using tools like AutoSys and Apache Airflow. Schedule and monitor batch jobs, ensuring timely and successful execution. Troubleshoot and resolve issues related to batch processing. Collaboration and Communication: Work closely with data analysts, data scientists, and other stakeholders to understand requirements and deliver solutions. Document data integration processes, workflows, and best practices. Provide support and training to team members as needed. Qualifications: Education: Bachelor's degree in information technology, or related field Experience: 5+ years of experience in data engineering or related roles. 5+ years of experience with Informatica IDMC. 5+ years of experience with Informatica PWC. Strong Unix/Linux skills, including Scripting and system administration. Proficiency with AWS cloud services and RDS databases. Proficiency in batch orchestration tools such as AutoSys and Apache Airflow. Excellent problem-solving and analytical skills. Strong understanding of data integration and ETL processes. Ability to work in a fast-paced, dynamic environment. Strong communication and interpersonal skills. Proficiency with CI/CD pipelines and DevOps practices.

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Lead the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Lead the development and implementation of GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Build and maintain strategic relationships with external subject matter experts, including healthcare providers, medical researchers, regulators, and AI technology partners, to ensure alignment of AI solutions and stay current with emerging technologies and methodologies in the field. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high computer cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly to the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 - 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Experience/Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge of digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .