76 to 94 of 94 Data Science Jobs in Berkshire

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯

AI startup based in London. They’re redefining how financial services understand and engage with their customers. At its core is a proprietary AI model that reclusters financial customer data to reveal richer insights into behaviour, financial confidence, and attitudes towards money. Combined with Engage, their communications engine, the platform enables personalised customer interactions at scale – moving beyond one … size-fits-all marketing to create truly tailored campaigns that drive results. With 15–20 employees, primarily on the engineering and data science side, and backed by leading fintech investors, the company is now seeking its first dedicated Product Lead. This is a unique opportunity to help shape a category-defining product and lay the foundation for the … adopters to gather insights and validate product direction. Establish product processes and frameworks to support future team expansion. About you Proven product experience, ideally within Martech, AI-driven, or data-heavy platforms. Strong ability to convert customer insight into product strategy and technical requirements. Comfort operating as the first product hire in a high-growth environment, with the adaptability More ❯

Senior Data Scientist Up to £80,000 + 15% bonus Hybrid – 3 days per week in office (London) We’ve partnered with an innovative Data Start-up who are looking to hire a passionate Senior Data Scientist. This consultancy provides innovative SAAS and AI solutions to their household name clients and is an excellent opportunity to work … Experience with building machine learning models and deploying at scale 2:1 or above in Mathematics or STEM Degree from a Top UK university 3 years' experience in a Data Scientist or relevant field Interview Process: SQL and Python Test Technical interview (1 hour) In person Team Fit (2 hours More ❯

value of new ideas, integrating AI with front-end and back-end systems. AI & Machine Learning Implementation: Design and deploy AI/ML models to extract insights from energy data and enhance customer experience. Full-Stack Development: Architect end-to-end solutions, ensuring seamless integration and optimal performance across the tech stack. Technical Innovation: Leverage technologies like large language … environments (AWS/Azure) and enhance deployment efficiency with CI/CD pipelines. Design Skills Application: Contribute to user interface and experience aspects, focusing on intuitive AI interactions and data visualizations. Knowledge Sharing: Mentor team members in emerging AI technologies and modern development practices. Stakeholder Interaction: Collaborate with stakeholders to refine requirements and validate technical aspects of innovations. Skills … full-stack developer with proficiency in multiple languages and technologies, particularly in AI engineering. Hands-on experience with advanced technologies such as large language models (LLMs), computer vision, and data science. Strong background in innovation and POC development, with a focus on idea generation rather than product management. Experience in startups or small businesses, adept at navigating agile environments 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 ❯

they prioritise innovation and growth - they're considered one of the most well-funded and exciting InsurTech scale-ups in the UK. ROLE AND RESPONSIBILITIES Build and design robust data models, working end-to-end across modelling in DBT and ETL processes Develop and maintain scalable data pipelines using SQL and Snowflake Work closely with analysts, data scientists and product teams to ensure data is reliable and well-structured Own the design and implementation of new models, not just building but shaping how they’re developed Contribute to improving analytics engineering standards and best practices Communicate findings and recommendations clearly across technical and non-technical stakeholders SKILLS AND EXPERIENCE Required: 3+ years in an Analytics More ❯

that drive innovation in image and video processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business More ❯

in equities strategies. Leveraging proprietary cutting-edge technology and rigorous scientific research, the company excels in trading, technology, and operations, and is now looking to expand their discretionary organisation. Data is not a support function here but drives the firm’s approach, with data scientists having direct and tangible communication with PMs and traders. With a true emphasis … on global collaboration, their investment, technology, and operations teams are aligned functionally around the world. Your Role: Develop insights and generate ideas for the equity fundamental research team using data-driven approaches. Collaborate across the firm to exchange results, feedback, and custom tools effectively. Conduct tasks such as KPI estimation and projection for companies or sectors, hypothesis testing through … data analysis, building screening tools, and assessing new and existing datasets for relevance and quality. Gain a deep understanding of the fundamental models used by analysts and create data-driven variables to enhance these models. Assess the value and relevance of new datasets for specific sectors or stocks. Execute data-driven studies to validate or refute hypotheses More ❯

development and advancement, frequently not available at other consulting firms: Structuring and performing analysis, and conducting primary research, to uncover the insights that support our recommendations to clients Translating data into meaningful insights and recommendations Presenting at team and client meetings, and determining the most practical way to drive lasting results based on your insights working with senior executives … relationship with clients, listen to their challenges and needs. Design and conceptualisation of MVP (Minimum Viable Products), which are early prototypes of Entrepreneurial Solutions Develop methodological skills to search data and gather information. Structure analyses and distil messages on appropriate communication media. Willingness to travel across Europe is required. Additional information Learning Programme: In addition to your operational development … techniques Oral and written communication Advanced Excel modelling Strategy development toolkit Development training in specific programming languages 3HORIZONS symposiums with industry leaders Working directly with business experts, creative designers, data scientists Qualifications Education: Science, Technology, Engineering or Management Masters Degree Experience: 0.5-2 years Languages: Fluent in English. Italian language is considered a plus. Software: Proficiency in Microsoft More ❯

product delivery and customer engagement — helping define, shape, and drive AI-powered solutions that address mission-critical challenges in finance, energy, and government sectors. You’ll collaborate closely with data scientists, engineers, and senior stakeholders to translate complex business needs into actionable technical solutions. As the voice of the customer, you’ll lead agile delivery cycles, ensure high-quality … Travel regionally to engage with users, onboard stakeholders, and gather direct product feedback for continuous improvement. Collaborate Cross-Functionally: Serve as the bridge between customers and internal teams including data scientists, engineers, and product leads. Act as Customer Champion: Build trusted relationships and ensure the long-term success of deployed solutions. What We’re Looking For Experience: Experience at … Palantir, Google, Amazon, BCG, McKinsey, etc.) 3-5 years in customer success, product management, delivery consulting, or technical account management. Technical Fluency: Strong understanding of AI/ML concepts, data workflows, and model deployment processes. Ability to discuss and assess technical trade-offs with engineering teams. Communication & Relationship Skills: Proven ability to build rapport and trust with enterprise customers More ❯

AI models and algorithms for business challenges. Analyse large datasets and extract actionable insights to support AI model training. Evaluate and optimise AI models for best performance. Collaborate with data scientists, software engineers, and stakeholders to integrate AI solutions. Ensure ethical AI development and compliance with regulations. Mandatory Skills Experience designing and coding AI models and algorithms. Strong data … and optimise AI models. Excellent collaboration and communication skills. Knowledge of AI ethics and compliance. Desirable Skills Familiarity with AI technologies and trends in the construction industry. Experience preparing data for AI model training. Ability to document and validate AI models and systems. Awareness of emerging AI best practices. Experience integrating AI solutions into existing systems. Equal Opportunities Wipro More ❯

launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job … and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a More ❯

accuracy and speed in their modelling and decision-making. They’re now seeking a Senior Product Manager to take ownership of a core product area, working closely with engineers, data scientists, and senior stakeholders to build and deliver technically complex features for a technical user-base. What’s needed Proven product management experience in a B2B SaaS or data More ❯

the sort of person who is not looking to be pigeonholed and is keen to keep developing and widening your skillset (eg using AI in research, work with qualitative data). We seek people who have experience and an interest in social & political research, exposure to polling would be of particular interest. You should enjoy working directly with clients … and strive to deliver outstanding work. This is a Tech & AI enabled agency that has created a dynamic platform and data products to enable a range of clients to acquire powerful data about what we think and do as citizens and consumers. They are on a mission to close the knowledge gap on public opinion and offer clients … accuracy at speed. A great opportunity for someone who is smart, driven & diligent and is excited by the idea of working collaboratively with a team of researchers, engineers and data scientists. More ❯

edge tech into products that win in the market. ⚡ Why this role matters Lead 0→1 product design with huge climate and commercial impact Work with high-calibre engineers, data scientists & energy leaders Backed by strong funding and rapid execution culture Small, entrepreneurial team solving massive energy + data challenges 🧠 What you’ll do Own product vision and … leadership Rapidly iterate and ship impactful features at speed If you’re a PM who blends sharp product design instincts with entrepreneurial drive, and you care about climate and data let’s talk. Apply now More ❯

full-time role. Applications without a cover letter will not be considered. Company Headquartered in London, with offices in NYC and Shanghai, Neudata is the only objective and neutral data scouting service dedicated to finding alpha-generating data for investment managers. Neudata has grown to be the number one provider of data scouting services to investors globally … verticals. Neudata's Software as a Service (SaaS) catalogue of alternative and market dataset reports provides tools for users to easily search, source, compare and manage the best global data providers. This catalogue is updated using real-time insights from our team of expert research analysts based in London, New York and Shanghai. We are expanding our market data … PowerPoint, and Excel. The attitude of a team player who has an adaptable approach to work. The candidate is not required to have any advanced knowledge or experience in data science. Rather, we are looking to add someone to our team who has good common sense, energy, and a real desire to learn and make a difference among a More ❯