51 to 75 of 116 Data Science Jobs in Berkshire

Specialist Location: Slough Visa and Relocation support is offered with this role. Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange … lead the development and implementation of robust Lab/digital infrastructure within our R&D laboratories for the UK and US locations. This is pivotal in enabling efficient, automated data exchange between laboratory instruments and enterprise informatics systems such as Electronic Lab notebooks (ELN)s, Laboratory Information Management Systems (LIMS) and other relevant data setups. The ideal candidate … Design, implement, and maintain secure, scalable IT/OT interfaces between lab instruments (e.g., bioreactors, plate readers, liquid handlers) and informatics systems (ELN, LIMS, SDMS, etc.) Collaborate with IT, Data science and scientific teams in R&D to identify integration needs and define architecture for real-time or scheduled automated data transfer. Develop or configure middleware, APIs More ❯

Senior Data Scientist (Optimisation) Hybrid (Av. 2 days office pw) | 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 Mentor and coach junior data scientists whilst maintaining best practice. What they're looking for Strong Python skills (critical) Hands-on experience with optimisation/operations research More ❯

Our platform simplifies all administrative tasks, allowing entrepreneurs and small business owners to manage their business admin effortlessly and without the usual complexities. By harnessing cutting-edge technology and data analytics, coupled with outstanding customer service, we provide a seamless experience that emphasises simplicity, efficiency, and rapid execution. Our goal is to remove obstacles, enabling you to achieve success … fostering a collaborative learning environment. API Development: Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient data structures, query performance, and reliability. Full-Stack Development: Develop responsive and performant front-end applications using ReactJS, focusing on UX/UI best practices. … quality solutions on schedule. Continuous Improvement: Stay ahead of industry trends, introducing innovative tools and technologies to enhance development efficiency. Qualifications and Key Skills Education: Bachelor’s in Computer Science or related field from a Tier 1 university. Experience: Minimum of 4 years of full-time professional experience in software development, with strong expertise in TypeScript, ReactJS, and Next.JS. More ❯

Data Scientist – Climate & Energy Tech | London (Hybrid) Are you a Data Scientist who loves seeing your work in production? A fast-growing startup is building the software backbone of a decarbonised energy future — and they’re looking for someone who wants to use data and code to make a tangible impact. Their platform intelligently shifts energy use … code and ship fast • Design and deploy models for prediction and real-time optimisation • Collaborate cross-functionally — from Figma prototypes to live deployments If you’re ready to use data science to fight climate change while building cutting-edge tech, this is the role for you. 👉 Apply now and be part of the energy transition. More ❯

DATA SCIENTIST/SENIOR ANALYST UP TO £80,000 HYBRID – 3X A WEEK IN LONDON ABOUT THE BUSINESS This is for a fast-growing company in the greentech sector, providing electric vehicle charging solutions that support the UK’s transition to sustainable transport. With a strong footprint across London and an exciting new contract expanding into other areas of … by private equity, they combine the agility of a scale-up with the stability and resources to grow nationwide. THE TEAM You’ll be joining a small but growing Data team, reporting directly to the Head of Data. The foundations for data infrastructure have been carefully built over the past year, and now the focus is on turning … data into actionable insight. This is a collaborative environment where data is central to decision-making — the executive team are highly engaged and see analytics as critical to the company’s success. You’ll have the opportunity to take ownership of impactful projects and help shape the future of EV charging strategy across the UK. THE ROLE This More ❯

ML Ops Engineer Remote (Occasional London Meetups) | Full-Time, Permanent | UK Based | Cannot sponsor Specialising in Azure ML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machine learning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data … advisory space. About the Role You’ll be part of a forward-thinking analytics team that supports over 1,400 pension schemes and delivers insights using advanced technology and data science. We value innovation, collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the … UK. Key Responsibilities Azure ML Operations : Design, deploy, and manage ML models in production using Azure ML . Data Integration : Build and maintain data pipelines using SQL and Azure Data Factory (ADF) . ML Ops : Implement CI/CD workflows, monitor model performance, and manage retraining pipelines. Python Development : Write clean, scalable code and manage version control More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You’ll take ownership of … quality assurance for data pipelines; you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement and maintain … automated testing frameworks for data and ML quality assurance Perform thorough manual testing during initial development and complex feature releases Collaborate closely with Data Engineers, Data Scientists, and Product Managers Proactively identify, document, and track bugs and quality issues. Participate in code reviews and provide constructive feedback from a QA perspective. What We’re Looking For 2+ More ❯

Senior Data Scientist Up to £80,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and … computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a key role in standardising AI into a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency 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 ❯

We're Hiring: Machine Learning Engineer (Urgent requirement - Immediate joiners needed) 📍 Location: Onsite (UK-based) 🕒 Type: Full-time | Permanent 🎓 Education: Master's in Science (IT/Computer Science/Engineer) 💼 Level: Junior to Mid Senior UK based candidates only. What are we looking for? Here at Information Tech Consultants Ltd (ITC) we are providing a unique opportunity for … entry level Data Scientists to utilize our skills and expertise to become successful experienced Data Scientist, working with several highly recognized UK and International companies including multiple Fortune 500 and FTSE 100 Clients. You will provide professional consulting services working onsite for start-ups, medium and large sized companies. You will be working on large complex projects so … that we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master’s 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 ❯

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 ❯

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 ❯

achieve business targets Own CSM business inspections, root cause and corrective actions, weekly "run-the-business" meetings and quarterly business reviews Conduct ad-hoc analysis of business and customer data Ensure that customer retention and growth is predictable and on target by tracking weekly progress vs. business targets Liaise with Finance on Net New ARR budgets and then translate … Sheets and Microsoft Excel along with experience using visualization tools (Power BI) Understanding of Customer Success operations and business metrics Familiarity with analytical techniques and experimentation strategies that drive data-driven decision-making Experience with customer lifecycle analytics, and Annual Recurring Revenue (ARR) related KPIs Comfortable building reports and dashboards in Salesforce Bachelor's degree in Finance, Marketing, Business … Economics, Statistics, Data Science, or a related field Core values required of all Simpro , AroFlo, BigChange & ClockShark employees: We Are One Team We Are Customer Centric We Are Growth Minded We Are Accountable We Celebrate Success Simpro, AroFlo, BigChange & ClockShark are equal opportunity employers with a best-of-class onboarding program and supportive team environments. This means that 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 ❯

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 ❯

is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some More ❯