176 to 200 of 216 Data Science Jobs in the South East

Lead Data Scientist London - Hybrid £90,000 - £100,000 + Benefits About the Role We're working with a fast-growing fintech that is redefining the credit industry through fair, accessible, and innovative digital finance products. They're looking for a Lead Data Scientist to drive their AI adoption strategy, evolve modelling capabilities, and lead a small team … of data scientists. This is a chance to shape the company's AI roadmap, leading from the front and ensuring they stay ahead of the market. Key Responsibilities Lead a team of data scientists, delivering high-quality models and analysis. Own the full model lifecycle, from data sourcing to deployment and monitoring. Explore advanced ML techniques while … ensuring compliance in a regulated industry. Partner with stakeholders across Risk, Pricing, Product, and Engineering to embed data-driven decision making. Develop and oversee frameworks for model monitoring, performance tracking, and testing. Communicate complex analytics into clear, actionable recommendations for senior leadership. Champion best practice in coding, documentation, version control, and automation. Act as the AI expert, staying ahead More ❯

LeadingpharmaceuticalclientnowrequiresaSeniorDataScientisttodrivemarketingeffectivenessviamarketingmixmodellingandothermodels. Thisrolewilloverseedatacollection,extraction,manipulation,analysisandvalidationensuringdataisreadyformodelling. YouwillworkcloselywiththeDataScienceteamtobuildbasemodelsaccordingtoprojectspecificationsandensuretherobustnessandvalidityofthosemodels. Requirements: Strongexperiencedevelopingandimplementingmarketingmixmodels. ExpertinPythonandpreviousexperiencewithRprogrammingandideallywithMMMmodels. StrongexperiencewithPymcisessential. ExperiencewithRegressionbasedmodelsinanMMMcontext. Strongunderstandingofstatisticalmodelling/MachineLearningtechniques. ExperiencewithprobabilisticprogrammingandBayesianmethods Goodworkingknowledgeofcloud-baseddatascienceframeworks. Thisisa6monthcontractpositionwhichprovidesadailyrateof£688(InsideIR35). Intermsofworkingstructure,thisroleishybridwithonedayperweekintheirLondonofficeandtherestremote. More ❯

about shaping strategy, leading delivery, and putting advanced ML systems into production where they make a measurable difference. What you'll be doing: Leading and scaling cross-functional teams (Data Science, ML Engineering, Software Engineering, Managers). Defining the ML/AI roadmap and aligning it to business outcomes. Driving best practice in MLOps, deployment, observability, and automation. More ❯

and procedures are in place to appropriately mitigate IT security risks, reporting annually to Nesta's Board of Trustees Audit and Risk Committee. Support collaboration between the DevOps and Data Science teams to provide resilient cloud platforms and hosting environments for systems and websites. Provide control and oversight of the Technology budgets, regularly reviewing departmental spend while maximising More ❯

blends hands-on technical expertise with strategic leadership. You'll: Own and drive the AI/ML strategy across the organisation. Lead and scale a world-class team of data scientists and ML engineers. Guide research and development of advanced machine learning and generative AI solutions. Partner with product and engineering teams to deliver AI-driven features into a More ❯

MINI Plant Oxford - Data Scientist Internship - 13-Month Placement (July 2026) We believe in creating an environment where our interns really can learn by doing during their time with us and where they are given their own areas of responsibilities from the start. That's why our experts treat you as part of the team from day one, encourage … studying an IT, Business or Engineering related degree working towards a 2:2 or higher. Knowledge of different machine learning algorithms and experience implementing them in code. Knowledge of data analysis and data mining techniques, and experience implementing them in code. Expertise in using programming tools such as Python, MATLAB, R and SQL. What can you look forward More ❯

experienced, Senior Software Engineer with skills in C++ and Rust, to join an historic British icon at the forefront of Engineering. The Role Ideally with a background in aerodynamics, data science, vehicle dynamics or computer simulations, the Senior Software Engineer will work closely with Design Engineers, Mechanical Engineers and other technical users, to gather and understand the requirements … design, develop and maintain the software and computational tools they use - a variety of applications across both web and desktop, such as state-of-the-art simulations, real time data and bespoke analysis tools. Benefits include: Bonus scheme to 12% Enhanced pension Health insurance Death in service What Experience do I need? Solid experience with both C++ and Rust More ❯

Senior Marketing Analytics & Data Scientist London (Hybrid) £85,000-95,000 base + strong benefits Travel arrangements Harnham have partnered with a world-leading conservation and travel arrangements & hospitalitycompany to find a Senior Marketing Analytics & Data Scientist. This is a fantastic opportunity to build reporting frameworks from scratch, deliver actionable insights, and directly shape digital marketing performance across … global channels. What you'll be doing: Build dashboards & automate reporting across Paid Search, Social, Display, Email & Organic Define KPIs and translate data into clear business insights Use SQL, Python, BigQuery, Tableau (or similar BI tools) to drive scalable solutions Partner with marketing, sales, and finance to optimise performance Contribute to advanced analytics projects: media mix modelling, lead scoring … attribution About you: 6+ years in data analysis (marketing/eCommerce focus) Strong SQL & Python, plus BI/visualisation tools (Tableau preferred) Skilled in digital marketing analytics (GA4, Google Ads, Facebook Ads, CRM data) Detail-oriented, commercially minded, and a confident communicator Why join? Shape a brand-new analytics framework with full ownership Hybrid working setup in London More ❯

Step into two of the fastest-growing markets in the world Crypto & AI and help shape the future of tech hiring. Youll be connecting top-tier software engineering and data science talent with some of the most exciting brands in the industry from disruptive start-ups to household names like Netflix, Spotify, and Airbnb. This isnt a sit More ❯

Job Title: Product Data Scientist - Hybrid - Up to £80,000 Location: London (Hybrid, 2 days p/w in office) Salary: Up to £80,000 + benefits Contract: Permanent The Company A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver … meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth. The Role As a Product Data Scientist , you'll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You'll use … advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across teams. Build and maintain dashboards and More ❯

Job Title: Machine Learning Engineer (Data/ML) Location: London/Hybrid - Once a week (Thursday) in London Duration: 6 Months Day Rate: £500 per day overall assignment rate to umbrella. This is a greenfield based project with crossover from another tech team conducting a similar model. You will collaborate with the Data Scientist, Data Architect, and … cross-functional Tech Teams , supporting the build phase while contributing hands-on technical expertise. Key Responsibilities: Work with the Senior Engineer/Tech Lead to implement and optimise data pipelines and ML models. Develop high-quality, maintainable code in Python and PySpark. Use SQL and Jupyter to analyse, transform and validate data for ML use cases. Operate in … and technical teams to deliver solutions that support business growth. Skills & Experience Required: Strong hands-on experience in Python, PySpark, SQL, Jupyter . Experience in Machine Learning engineering or data-focused development. Exposure to working in cloud platforms (AWS/Azure) . Ability to collaborate effectively with senior engineers, data scientists, and architects. Proactive, detail-oriented, and eager More ❯

delivery team and play a key role in shaping the future of digital healthcare. The role: Lead a small, talented team of frontend & backend engineers alongside PMs, designers and data scientists Drive technical strategy and deliver impactful features end-to-end Stay hands-on across architecture, design, testing, and deployment Mentor engineers, give feedback and create opportunities for growth More ❯

range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be really … well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong Python scripting skills Strong understanding of … LLMs Experience delivering Gen-AI projects Experience with Retrieval-Augmented Generation (RAG) Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to around £60,000 depending upon experience Bonus up to 10% Pension - 5% matched 25 days holiday Home working allowance Enhanced More ❯

range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be really … well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong Python scripting skills Strong understanding of … LLMs Experience delivering Gen-AI projects Experience with Retrieval-Augmented Generation (RAG) Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to around £60,000 depending upon experience Bonus up to 10% Pension - 5% matched 25 days holiday Home working allowance Enhanced More ❯

Our client at very well known Retail Giant is currently looking to hire a Senior/Lead Technical Engineer (Data/ML) based from their offices in London. As the Senior/Lead Tech Engineer (Data/ML) you will be part of build a small team and mentor during the build phase along with the Engineering Manager. … Job Title: Senior/Lead Tech Engineer (Data/ML) Location: London/Hybrid - Once a Week (Thursday) in London Duration: 6 Months Day Rate: £550 to £575prd (Inside IR35 - Umbrella) This is a greenfield based project with crossover from another tech team conducting a similar model. Interaction with Key Stakeholders and like minded Tech Teams is essential. Working … alongside the Data Scientist and Data Architect Experience at a Tech Lead/Senior Engineering Level Mentoring/Team Leading experience - Nice to have (Full Support from Engineering Manager) Hands on development/engineering background Machine Learning or Data background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have More ❯

Senior Data Scientist (Optimisation) Hybrid (2/3 office split) | London £80k–£90k + Share options + Additional benefits The business This is a fast-growing AI technology company of around 15 people, building cutting-edge predictive and optimisation solutions for real-world operational challenges. The data team you'll be joining is at the centre of their … platform which powers smarter workforce planning, scheduling and supply chain decisions for the clients they support. The role They're looking for a Senior Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help … models and optimisers (beyond standard ML approaches) Evolve the existing optimiser into a scalable, production-ready system Write production-quality Python code and collaborate closely with engineers and other data scientists What they're looking for Strong Python skills (critical) Hands-on experience with optimisation/operations research/mathematical modelling Background in supply chain or workforce planning (desirable More ❯

Learning solutions, collaborating with multidisciplinary teams to deliver secure, scalable, and innovative technology. Key Responsibilities Design, develop, and deploy AI/ML models for real-world applications. Collaborate with data scientists, engineers, and stakeholders to deliver robust solutions. Ensure all work complies with security and governance standards. Contribute to the development of AI best practices and frameworks. Essential Skills … Active SC Clearance (must be current) Strong experience in AI/ML engineering (Python, TensorFlow, PyTorch, etc.) Experience with cloud platforms (AWS, Azure, or GCP) Solid understanding of data pipelines, APIs, and MLOps Excellent problem-solving and communication skills More ❯

the most dynamic and complex markets in the world. This is a chance to build high-performance, low-latency, and cloud-native systems while tackling challenges in fraud detection, data engineering, and market integrity . What you'll do Design, implement, and optimise algorithms for detecting manipulation, fraud, and compliance breaches in real-time and batch data. Build and … scale high-volume data pipelines handling billions of daily events across distributed systems. Work with cutting-edge tech including Java, Kafka, Spark, Kubernetes, Clickhouse, Snowflake, Redis . Collaborate with quants, data scientists, and compliance experts to improve surveillance strategies. Contribute to system architecture for low-latency monitoring and high-throughput processing . Continuously improve data quality, reliability … and query optimisation at scale. What we're looking for 5+ years' experience in software engineering , ideally in financial markets, market surveillance, or large-scale data systems . Strong skills in Java (or similar: Kotlin, C#, C++) ; Python is a plus. Proven experience with real-time, low-latency systems and distributed data pipelines . Hands-on with Kafka More ❯

Integrate security into DevSecOps and MLOps pipelines , including CI/CD and infrastructure-as-code environments. Drive adoption of Zero Trust principles, encryption standards, IAM policies, and network/data/application security controls. Collaborate with data scientists, ML engineers, and IT security teams to embed security throughout AI/ML system design and deployment. Your Profile 15+ … including PSD2, GDPR, DORA, and EBA regulatory requirements. Experience designing and securing AI/ML and MLOps environments , including awareness of risks such as adversarial attacks, model poisoning, and data privacy issues. Deep knowledge of: Identity & Access Management (IAM) Network and Application Security Data Protection & Encryption Kubernetes, Containers, and DevSecOps/MLOps practices SIEM, logging, and monitoring Zero More ❯

Contract: 3-4 months Rate: £450-£500 per day (Outside IR35) Location: London, 2 days per week on-site The Role We're looking for a Senior Marketing Analytics & Data Scientist to build and deliver scalable reporting, advanced analytics, and predictive models that optimise digital marketing performance. Key focus areas include LTV modelling , Tableau dashboarding , and Media Mix Modelling … deliver Tableau dashboards that give clear, actionable insights. Lead Media Mix Modelling (MMM) to measure channel impact and optimise budgets. Define KPIs and ensure accuracy across all digital marketing data sources. Provide advanced analytics and insights on campaign performance and sales funnel. Partner with stakeholders across marketing, sales, and finance to inform strategy. Conduct deep dives into customer behaviour … on accuracy, scalability, and impact. Nice to Have Experience with A/B testing and experimentation platforms. Familiarity with cloud-based pipelines (e.g., BigQuery, AWS). Knowledge of marketing data sources such as GA4, Google Ads, Meta Ads, CRM. More ❯

looking to step into a broader architectural remit. You will play a key role in shaping cloud strategies, modernising legacy systems, and enabling advanced technologies such as generative AI, data analytics, and cloud-native applications. Key Responsibilities Design and implement scalable, secure, and high-performing AWS solutions. Lead cloud migration and modernisation initiatives, including mainframe transformation. Collaborate with cross … functional teams including data scientists, engineers, and developers. Provide technical leadership and guidance on AWS best practices and architecture patterns. Optimise cloud infrastructure for performance, cost, and security. Support the deployment of AI/ML models and data pipelines in production environments. Stay current with emerging AWS services and recommend improvements to cloud environments. Required Skills & Experience For … design and architecture. Ideal for cloud engineers or AWS consultants with deep service-level understanding. Desirable Experience Background in infrastructure or networking. Exposure to generative AI, AWS Contact Center, data and analytics, or mainframe modernisation. Multi-cloud or hybrid cloud experience (e.g. Azure, GCP). Understanding of interoperability across cloud platforms and on-prem environments. Additional Information Candidates must More ❯

projects. Why Join? Here, your work means more: Make an impact by shaping AI security frameworks for innovative enterprise projects. Be part of challenging, future-defining programmes in AI, data, and cloud security. Collaborate with industry experts and multidisciplinary teams , while driving standards in one of the most rapidly evolving technology landscapes. The Role As an AI Security Architect … you will: Define and implement AI/ML security strategies, standards, and guidelines . Design and own enterprise security architecture for AI/ML systems, CI/CD, and data pipelines. Conduct security risk assessments and threat modelling for AI/ML workloads. Support testing of AI/ML models, including trustworthiness, fairness, bias, and adversarial attack detection. Collaborate … with data scientists, engineers, and stakeholders to embed security controls in AI/ML pipelines. Enforce robust access control, authentication, and encryption standards . Stay ahead of emerging AI security threats, regulations, and frameworks . Provide advisory guidance to cross-functional teams during AI/ML system design and deployment. Contribute to regulatory compliance efforts (EU AI Act, GDPR More ❯

This is a fantastic opportunity to contribute to innovative products that are transforming the way finance and accounting professionals work, automating repetitive tasks, and enabling teams to focus on data-driven insights and analytics. The role You will work in a small, collaborative team with significant autonomy and the chance to take ownership of technical projects. You will contribute … across the entire product stack, from frontend interfaces to backend APIs and analytics engines. Mentorship will be provided by experienced developers and data scientists, and the role offers strong potential for career progression as the team and product suite evolve. Key responsibilities • Collaborate with a small, high-performing development team, participating in code reviews and merge requests. • Develop and … maintain full-stack solutions, including: o Frontend interfaces o Backend API layers o Data processing and analytics engines • Lead projects independently from requirements gathering through to deployment. • Mentor and support junior developers, fostering their technical growth. • Solve complex challenges involving data, analytics, and presentation within financial and professional services contexts. Skills, Knowledge & Expertise • Minimum 3 years’ professional experience More ❯

SENIOR PRICING DATA SCIENTIST £80,000 LONDON Really exciting role here with a small and dynamic Insurtech who are going through an exciting period of change. This role offers the chance to work on their end-to-end model process, working in a fast-paced and challenging environment where you can take ownership for business performance. THE COMPANY This … predictive models using Python and Machine Learning techniques Work on end-to-end ownership of these models, including work on implementation, deployment and enhancement Analyse large sets of customer data to drive insight and commercial performance Share insight with the wider team and helping to improve profitability across the business on ad hoc project work YOUR SKILLS AND EXPERIENCE More ❯

London My client is looking for an AI Engineer to lead the development and deployment of intelligent systems within their HR function. You will work closely with HR stakeholders, data scientists, and legal compliance teams to build secure and scalable multi-agent AI solutions using modern frameworks such as LangChain, AutoGen, LangGraph, and RAG. Key Responsibilities: Architect and implement … and RAG Strong proficiency in Python and experience with frameworks like PyTorch or TensorFlow. Experience working with vector databases (e.g., FAISS, Weaviate, Pinecone). Familiarity with HR systems and data (Workday, SAP SuccessFactors, etc.) is a plus. Excellent communication skills and ability to translate technical concepts for non-technical stakeholders. Ideally you will be educated to Degree level and … hold a MSc or PhD in Computer Science, AI, Machine Learning, or related sector. Due to the nature of this role, it wouldn't go a miss if you have exposure within legal or regulated industries. Naturally, you'll be obsessed with the world of AI with a genuine thirst for learning (Ideally with certifications in AI ethics or More ❯