76 to 100 of 153 Data Science Jobs in the Thames Valley

Software Engineering Manager – Data & Analytics Location: Oxfordshire, UK (Hybrid) A growing technology company is seeking a Software Engineering Manager to lead the design and delivery of advanced data and analytics software. This role sits at the intersection of software development, data processing, and engineering leadership, offering the chance to shape technical strategy while remaining hands-on. The … Role: Lead and mentor a small team of software engineers and data specialists. Oversee the design, development, and delivery of high-quality data software. Manage project timelines, priorities, and software quality processes. Collaborate with research and engineering teams to deliver integrated solutions. Drive best practices in coding, testing, and continuous improvement. Contribute technically in Python or similar languages … years in software engineering, including leadership or management experience. Strong programming skills (Python preferred). Proven record of delivering robust, production-grade software systems. Familiarity with scientific or analytical data processing is beneficial. Excellent communication, organisation, and problem-solving skills. Education: Degree in Computer Science, Engineering, or a related technical field. Package: £62,000–£75,000 depending on More ❯

Software Engineering Manager – Data & Analytics Location: Oxfordshire, UK (Hybrid) A growing technology company is seeking a Software Engineering Manager to lead the design and delivery of advanced data and analytics software. This role sits at the intersection of software development, data processing, and engineering leadership, offering the chance to shape technical strategy while remaining hands-on. The … Role: Lead and mentor a small team of software engineers and data specialists. Oversee the design, development, and delivery of high-quality data software. Manage project timelines, priorities, and software quality processes. Collaborate with research and engineering teams to deliver integrated solutions. Drive best practices in coding, testing, and continuous improvement. Contribute technically in Python or similar languages … years in software engineering, including leadership or management experience. Strong programming skills (Python preferred). Proven record of delivering robust, production-grade software systems. Familiarity with scientific or analytical data processing is beneficial. Excellent communication, organisation, and problem-solving skills. Education: Degree in Computer Science, Engineering, or a related technical field. Package: £62,000–£75,000 depending on More ❯

We make equipment, software, and systems that help to plan, deploy, certify, monitor, and optimize all kinds of networks - like those for mobile phones, service providers, large businesses, and data centers. And we are also at the forefront of optical security - we bend light to develop and deliver optical solutions that provide security to the world's currencies and … and monitor AI workloads in containerized cloud environments (Docker, Kubernetes, AWS/GCP/Azure) Participate in code reviews, architecture discussions, and mentor junior engineers Collaborate cross-functionally with data science, product, and operations teams Champion responsible AI practices and safety mechanisms in all development work Pre-Requisites/Skills/Experience Requirements: Bachelor's degree in Computer … Science, Software Engineering, or related field (Master's a plus) Extensive experience in professional software development Strong Python skills and a track record of delivering maintainable, well-tested code Experience with LLM APIs (OpenAI, Hugging Face, Anthropic) or ML frameworks (PyTorch, TensorFlow) Solid understanding of CI/CD, Git, testing, and agile methodologies Hands-on experience with Linux, Docker More ❯

SENIOR CUSTOMER INSIGHT ANALYST UP TO £80,000 LONDON The Company: Join a fast-growing, data-driven organisation that has recently undergone a major analytics transformation, embedding insight and data science into the heart of its decision-making process. The central Analytics team partners with marketing, commercial, product, and finance teams to deliver high-impact insights and … drive strategy across multiple markets. This is an opportunity to influence decisions at C-suite level and shape the direction of a business that is committed to becoming truly data-first. The Role: You’ll work within the central analytics team, using deep-dive analysis and data visualisation to deliver actionable insights and recommendations that drive business growth. … Working closely with senior leaders, you’ll be a key player in enabling a data-driven culture and helping to shape the strategic direction of the business. Key responsibilities include: Delivering deep-dive analytics to investigate business challenges and identify growth opportunities Acting as a subject matter expert for customer insight, producing recommendations that influence commercial and marketing strategies More ❯

Graduate Data Engineer 📍 London (2 days in office, hybrid) | 💼 Full-time | 🎓 0–2 Years’ Experience Are you an aspiring Data Engineer eager to turn raw financial data into clean, structured, and scalable systems? We’re looking for a curious and motivated Graduate Data Engineer to join a hybrid-working team building cutting-edge data infrastructure … for the financial sector. You’ll spend 2 days a week in the office working directly with the Senior Data Engineer , and the rest working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms diverse datasets into actionable insights — learning how to design ETL pipelines, manage cloud-based data systems … and deploy solutions that scale. In this role, you’ll help build, test, and maintain the pipelines and systems that power real-world applications. From data ingestion and transformation to monitoring and optimisation, you’ll gain hands-on experience across the full data engineering lifecycle — while contributing to a product used by clients in the financial industry. What More ❯

in AI? We’re looking for a driven and detail-oriented Machine Learning Engineer to join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be joining a fast-growing AI company developing automation solutions that extract … meaning from emails, documents, and other unstructured communications — turning them into structured data and insights that drive real business decisions. Our technology powers next-generation AI workflows for enterprise clients across sectors like finance and professional services. This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who’s … world challenges. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI More ❯

Senior Data Scientist | Lead Data Scientist | Data Engineering | Machine Learning | Cloud Computing | SC Cleared or Clearable | 2 days a week | £85,000 plus 15% bonus I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations but they also have strong ties … a result they are involved in some of the most challenging yet rewarding large scale technical projects in the country. They are currently looking for a Senior or Lead Data Scientist, this will be a blend of client facing skills aka, the ability to understand business problems, create a novel models/solutions to help that client and communicate More ❯

practices, and active engagement with industry consortia such as Pistoia Alliance, CIOMS, TransCelerate, and other relevant forums to shape standards and best practices Education & Requirements: Masters or PhD in Data Science, Engineering, Computer Science, or related fields 15+ years of experience in digital leadership or advanced analytics/AI roles within R&D-driven pharmaceutical industry Deep More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts More ❯

Experimental Data Engineer - Advanced Engineering Start-Up - Oxfordshire We have an incredible opportunity for an Experimental Data Engineer to join one of the UK's most exciting venture-backed deep-tech start-ups. This fast growing company is redefining the future of high-performance engineered systems and advanced materials, combining world-class engineering with cutting edge data science, proprietary software, and additive manufacturing. Innovation here isn't theoretical - it's hands-on, tested, and built into the next generation of advanced products. In this role you'll work alongside exceptional engineers, metallurgists, and software developers at the forefront of materials design, precision manufacturing, and experimental validation. This is a chance to be part of a … team where experimentation, insight, and creativity directly influence real-world technology. As an Experimental Data Engineer, you will design, build, and maintain advanced testing and data acquisition systems. You will configure hardware, integrate sensors, and develop software to collect, process, and visualise complex datasets, turning raw data into actionable insights that drive performance and product development. You More ❯

tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do Build and fine-tune AI models (LLMs and transformer-based architectures). Work directly with customers to integrate and test new features. Develop and improve … agent framework. Gather and act on client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools More ❯

will be within one of our technology teams, supporting a key area of our business such as web & mobile app development, core application development, cloud platform/network engineering, data engineering and data science Information/cyber security technology No DTS or Tech experience? No problem. We've got plenty to go around and can't wait More ❯

overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab. • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model platform … related issues. Model Deployment into Production • Deploy and Maintain ML models in production environments. • Ensure models are properly integrated into automated pipelines and meet standards Pipeline Maintenance • Collaborate with data scientists and engineers to ensure smooth handoff from model development to production. • Maintain and support ML pipelines, ensuring stability and scalability. • Continuously optimize pipeline performance, resource usage, and automation … deployment and monitoring tasks. • Contribute to platform improvements. Required Skills & Experience • Extensive experience in Python programming • Strong experience with ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and More ❯

operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to-end pipelines, supporting strategic initiatives … real-time and offline platforms. Develop scalable model APIs with strong CI/CD and observability practices. Implement model testing, monitoring, and rollback capabilities in production environments. Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise … standards. Complete all mandatory compliance training and engage with compliance teams for clarification when needed. What You’ll Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data More ❯

About the Job Senior Fullstack Engineer (React/.Net) – London (Victoria) | Hybrid £80k - £110k Are you ready to craft the next generation of data-driven digital experiences for one of Europe’s most technically advanced SaaS innovators? Our client, a pioneer in B2B SaaS solutions , is building “Your Shipping Analytics Supercomputer” , providing cutting-edge data visualisation and dynamic … artificial intelligence. About the Role As a Senior Full-stack Engineer , you’ll play a key role in architecting and developing scalable, high-performance web applications that bring complex data to life. Working across both frontend (React, TypeScript) and backend (.NET Core, C#) technologies, you’ll collaborate with product, design, and data science teams to create seamless More ❯

About Us: Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights: Quantiphi, a Services & AI … Platforms company, has seen 2.5x growth YoY since its inception in 2013 Headquartered in Boston, with 3300+ data science professionals across 11 global offices Winner of 3X NVIDIA AI Partner of the year award Winner of the 17X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI … Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms. Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category Winner of 2021 AWS Canada Rising Star of the Year Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next More ❯

is not just another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured … data, applying AI/ML to real-world risk, and delivering insights that organisations can trust in high-stakes environments. We’re scaling fast with more customers, more releases, bigger regulatory challenges and a growing expectation that “due diligence” means not only real-time insight, but conducted at pace and cost-efficiency. You won’t just be shipping features More ❯

in the cloud, prevent advanced threats from spreading across their network, gain visibility and control over applications, and enable a secure hybrid workforce. Deep understanding of cybersecurity fundamentals, including data security, network security, and cloud security Demonstrated ability to lead complex sales engagements Extensive experience cloud platforms such as AWS, Azure, or GCP Excellent interpersonal, communication, and presentation skills … with the ability to influence senior stakeholders Self-starter who thrives in a fast-paced, collaborative environment with minimal direction Bachelor’s degree in business, computer science, engineering, or a related field; advanced degrees a plus Experience selling to CISOs, CIOs, and data science/security teams Experience working in a high-growth or scale-up environment More ❯

Senior Data Engineer (Kafka Python AWS) London/WFH to £80k Are you a data technologist with fluent Python coding skills who enjoys working with and continually learning new technologies? You could be progressing your career in a senior, hands-on role at a "Tech for Good" company that is enabling life changing education to be accessed by … millions of students across the globe (currently 22 countries and growing). As a Data Engineer you'll help to design, build and operate the data pipelines and data services that power learning experiences. Collaborating with software engineers, data scientists and product managers, you will grow your expertise while contributing to systems that need to process … experiences as well as reporting and analytics requirements across the business as it scales to 10's of millions of students. Typically you'll be developing and maintaining reliable data pipelines for both real-time streaming and batch workloads, assisting with the evolution of the Lakehouse, collaborating with analytics, product and machine learning teams to make data accessible More ❯

Product Manager – Data & AI Innovation (Air Platform) Location: London (Hybrid) Salary: £100-120,000 + bonus Type: Full-time, Permanent About Our Client Our client is a global financial technology leader driving innovation across data, automation, and AI. Their solutions power some of the world’s largest financial institutions, enabling them to transform operational efficiency, accuracy, and performance. … They are now seeking a strategic Product Manager with deep expertise in data-driven product development and AI integration to lead innovation across their flagship Air Platform — a next-generation solution focused on intelligent automation, orchestration, and data optimisation. This is an opportunity to sit at the heart of AI transformation — defining strategy, shaping product direction, and delivering … next-level user experiences powered by AI agents, LLMs, and emerging technologies. The Opportunity As Product Manager – Data & AI Innovation, you will drive the roadmap for advanced data orchestration and AI-enabled features. You’ll collaborate with data scientists, engineers, and go-to-market teams to ensure each innovation is technically sound, commercially valuable, and aligned to More ❯

tenured faculty positions. Faculty positions are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering … biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology: Electronics, microelectronics, integrated circuits, computing, artificial intelligence, software engineering, automation control, and information and communication engineering. Business: Financial engineering, financial technology, digital transformation management, and applied economics. We provides globally competitive salaries and generous start-up funds, commensurate with qualifications and experiences. The start-up package includes More ❯

Senior Data Analyst - Green Tech/Energy Sector 📍 Central London (3 days per week onsite) | 💰 Up to £80,000 + Benefits | ⚡ Private Equity-Backed Scale-Up Are you passionate about using data to drive real-world impact in the green tech space? This is a fantastic opportunity to join a fast-growing, sustainability-focused business that's revolutionising … how we power electric vehicles across the UK. You'll work closely with the Head of Data to shape the company's analytical direction and deliver actionable insights that directly influence commercial, operational, and energy strategies. The Role As Data Scientist , you'll act as the analytical lead across the business - tackling forecasting, pricing, and data modelling … You'll help answer key strategic questions, such as: How should we price energy dynamically across the day? What patterns exist in customer charging behaviour? How can we use data to drive operational efficiency and profitability? This is a hands-on analytical role , ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that More ❯

About the Job Senior Frontend Engineer – London (Victoria) | Hybrid £80k - £110k Are you ready to craft the next generation of data-driven digital experiences for one of Europe’s most technically advanced SaaS innovators? Our client, a pioneer in B2B SaaS solutions , is building “Your Shipping Analytics Supercomputer” , providing cutting-edge data visualisation and dynamic dashboards for high … About the Role As a Senior Frontend Engineer , you’ll be at the heart of a high-performing engineering team, building intuitive, high-impact web applications that bring complex data to life. Working with cutting-edge technologies like React and TypeScript , you’ll collaborate closely with product, design, and data science teams to shape interfaces that define More ❯

100m+ in funding 2 out of 3 managers promoted from within Trusted by global leaders in eCommerce & gaming Offices in New York, London & more 500+ employees + world-class Data Science team The Role High touch, data centric and product focussed Platform training, guidance and advice to clients to ensure optimum utilisation of the platform Ensure Enterprise … customers understand their customer data and drive actionable insights Desired Skills & Experience Enterprise Customer Success within B2B SaaS Highly analytical, comfortable presenting data insights High touch consultative approach More ❯

mix modelling) to quantify how investments contribute to business KPIs. KPI Alignment & Performance Management: Collaborate with stakeholders to define success metrics and ensure business initiatives align with strategic goals. Data-Driven Decision Support: Provide leadership teams with actionable insights on investment performance, cost efficiency, and revenue contribution. Who we are The UK's fastest broadband network. The nation's … haves Proven experience in business analytics, marketing attribution, financial analysis, or performance management (preferably in telecommunications) Strong experience with business intelligence tools and financial modelling Proven track record of data-driven decision-making and influencing business strategy The other stuff we are looking for Bachelor's or Master's degree in Business, Data Science, Finance, Economics, Statistics More ❯