101 to 116 of 116 Data Science Jobs in Berkshire

skilled Machine Learning Engineer to join our team on a contract basis. You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys solving complex problems … with real-world impact. Key Responsibilities Develop, train, and optimize machine learning models for production use. Collaborate with data scientists to turn research prototypes into production-grade solutions. Build robust data pipelines and feature engineering workflows. Deploy ML solutions into cloud environments (AWS, GCP, or Azure). Implement monitoring, testing, and model performance evaluation frameworks. Work with engineering … Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). More ❯

framework in place but are nimble enough to explore innovative ways of working and thinking. This role will have a diverse set of responsibilities, with a focus on leveraging data to drive business decisions, improve customer experiences, and create efficiencies You’ll be supporting credit risk initiatives to ensure the business is able to deliver against the annual operating … prioritize tasks to ensure that delivery is met. RESPONSIBILITIES Model Development and Implementation Developing predictive models for high impact areas, e.g. credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through validation and auditing processes. Evaluation of scorecard effectiveness, with accompanying documentation. Monitor the ongoing effectiveness of the scorecards to ensure their relevance and need for … customer journeys, allowing identification for potential improvements that can be quantified through analysis or tests. Identify areas where modelling can create uplift in decisions, efficiency, and costs. Explore new data sources and methodologies to improve the customer journey and decisions. Controlling Credit Risk Propose, monitor, and analyze credit decisions, taking into consideration the regulatory environment and customer impact. Evaluate More ❯

technical strategy for e-commerce, apps, and AI initiatives. Ensure alignment with business goals and scalability. Team Management: Lead, mentor, and grow a diverse team of developers, engineers, and data scientists across multiple disciplines. E-commerce Development: Oversee Magento development and integration with internal systems, third-party APIs, and digital tools. App Development: Manage the architecture, development, and release … Delivery Management: Ensure projects are delivered on time, within budget, and to high-quality standards. Implement agile methodologies and best practices for engineering workflows. Infrastructure & Security: Oversee cloud infrastructure, data security, and compliance across all digital products. Collaboration with Stakeholders: Work closely with marketing, merchandising, operations, and leadership teams to ensure technology meets business needs and drives growth. Required … Skills & Experience: Proven experience in leading full-stack development teams, with ownership of e-commerce platforms, mobile apps, and AI or data-driven projects. Strong expertise in Magento 2, APIs, modern web and mobile frameworks (React, PHP) and cloud infrastructure (GCP) Hands-on experience with AI/ML initiatives, including model deployment, data pipelines, and analytics integration. Demonstrated More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We're More ❯

Shaw, and Millennium, operates in a high-trust, high-accountability environment with a strong investment focus and entrepreneurial culture. Reporting to the CRO and collaborating closely with investment and data teams, this role offers the opportunity to design and deliver greenfield systems that visualise complex financial data, support analytical workflows, and integrate seamlessly with backend infrastructure. You’ll … key role in shaping the fund’s research and tooling platform from inception. Responsibilities: Build and maintain full-stack applications and internal tools, with an emphasis on high-performance, data-intensive frontend systems. Collaborate directly with investment professionals, quants, and data scientists to develop responsive dashboards and analytical interfaces. Integrate frontend components with Python-based backend services and … APIs. Implement robust testing frameworks (unit, integration, end-to-end) to ensure performance and reliability. Optimise application performance for large datasets, leveraging efficient data manipulation and visualisation techniques. Stay current with advances in web and data visualisation technologies to propose and implement innovative solutions. Qualifications: 1–7 years of professional software engineering experience. Strong academic background from a More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We're More ❯

of solutions Drive architectural and design decisions, ensuring scalable, resilient systems built on sound engineering principles and best practices Partner with clients to define and evolve their technology and data strategy, modernizing infrastructure, architecture, and technology stacks Utilize DevOps tools and practices to automate and streamline the build and deployment processes Work closely with Data Scientists and Engineers … to deliver robust, production-level AI and Machine Learning systems Develop frameworks and tools for efficient data ingestion from diverse and complex sources Operate in short, iterative sprints, delivering working software aligned with clear deliverables and client-defined deadlines Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: Actively contribute to a … an added advantage Understanding of web APIs, contracts and communication protocols Understanding of Cloud platforms, infra-automation/DevOps, IaC/GitOps/Containers, design and development of large data platforms A maker’s mindset - To be resourceful and have the ability to do things that have no instructions What will you experience in terms of culture at Sahaj 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 ❯

and custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers … pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution More ❯

s entire AI and automation capability, from strategic vision to hands-on delivery. You will be a rare hybrid: technically deep , comfortable working side-by-side with engineers and data scientists, yet strategically astute, advising the board and shaping the long-term AI roadmap. If you are a builder at heart, with proven experience scaling ambitious tech initiatives, this … labs, EdTech innovators, and research institutions. Technical Execution Collaborate directly with development teams to translate vision into code, systems, and deployed solutions. Set and oversee technical standards for MLOps, data pipelines, and automation platforms. Ensure responsible management of data privacy, security, and AI ethics across the organisation. About You: You are a high-impact leader who thrives at … Passion for education as a catalyst for global change. Strong team-building skills, fostering innovation, speed, and cross-disciplinary collaboration. A clear and responsible approach to AI ethics and data governance. Why Join GUS? Architect Change: Lead the AI transformation of one of the world’s largest and most diverse education networks. Build from Scratch: Establish global AI systems More ❯

Role Overview Senior Data Scientist . will support a high-visibility programme focused on reducing skip rates in unit dispatch operations. The team is based primarily in Wokingham , with some programme activity in Warwick . Candidates are expected to be on-site 2-3 days per week . THIS ROLE IS INSIDE IR35 Key Responsibilities Data Scientist Analyse … root causes of skip rates. Work alongside internal data scientists and external consultants (ML/AI specialists). Upskill internal teams. Present complex findings in digestible formats. Candidate Requirements Experience with large, complex, and incomplete datasets . Strong stakeholder engagement skills. Ability to work autonomously and proactively. Familiarity with Legacy systems , large databases, and data extraction (eg, from … tapes). Preferably from electricity or utilities sectors for quicker onboarding. Comfortable navigating acronym-heavy environments . Technical Environment Analysis conducted on Zero platforms . Data sourced from Legacy systems , balancing platforms , and new systems . Interview Process Two-stage : Initial values/aptitude fit (30 mins). Technical interview with team members (eg, Catherine and William). No More ❯

the boundaries of multimodal AI. This is an exciting opportunity to work on cutting-edge visual AI that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts. Key Responsibilities Design, train, and deploy Computer Vision models for detection, segmentation, tracking, and behavior understanding. Optimize inference pipelines for real-time performance on … edge devices (e.g., NVIDIA Jetson, Coral) and cloud infrastructure . Collaborate with data and product teams to define new use cases, prototype solutions, and take models from lab to production. Develop synthetic data generation pipelines and augmentation strategies to enhance robustness across lighting conditions, formats, and environments. Research and integrate state-of-the-art Vision Transformers (ViTs), Large More ❯

Product Analyst London (Hybrid – 2x Days a Week in Office) £75,000-£85,000 The Company Are you a commercially-minded Product Analyst or Product Data Scientist looking to make an impact in a fast-growing, PE-backed consumer tech business? This is a unique opportunity to join a company in an exciting growth phase, working alongside an experienced … and data-driven leadership team! The Role You’ll sit within a highly collaborative Data team and act as a key partner to Product, Engineering, and Commercial teams, using data to shape strategy, improve personalisation, and create a best-in-class experience for millions of users. This role is ideal for someone who is curious, commercially focused … and passionate about understanding user behaviour to drive measurable outcomes You’ll be responsible for: Analysing user behaviour, spotting trends, and telling compelling data stories to influence product strategy Designing, running, and evaluating experiments to optimise product performance and improve conversion Defining and aligning key metrics across teams, ensuring consistent measurement and insight delivery Building and maintaining dashboards and More ❯

programmes, ensuring solutions are robust, scalable, and production-ready. Set the engineering standards , ways of working, and technical excellence benchmarks for teams. Lead and grow teams of engineers and data scientists, supporting career development and fostering a culture of delivery excellence. Operate as a senior consultant , engaging with C-suite and senior government stakeholders to shape strategy, scope projects … of AI for public good. This role offers the chance to: Shape the technical direction of high-impact programmes in government. Lead and grow exceptional teams of engineers and data specialists. Be at the table with senior decision makers , influencing strategy and delivery at national scale. This is a career-defining opportunity for a hands-on engineering leader who More ❯

Data Scientist - Year in Industry Programme 2026 Starting salary £23,500 + plus benefits and welcome bonus Office based in Aldermaston, nr Reading, Berkshire. We are offering a rewarding and exciting one-year placement as an Undergraduate Data Scientist at AWE - a role where you will make a genuine contribution to keeping the UK safe and secure click More ❯

a Product Manager to lead their core platform - shaping how real-time energy optimisation happens at scale. Their tech makes electricity smarter, greener, and more affordable , using cutting-edge data and automation to balance energy use across vehicles, homes, and the grid. ⚡ Why you’ll love it: Own greenfield products that have direct climate impact Work alongside top engineers … data scientists & energy experts Join a high-growth, well-funded team that ships fast Be part of a small, mission-driven group solving massive energy + data challenges 🧭 What you’ll do: Drive product strategy for their real-time demand response platform Partner with users, engineers, and leadership to shape the roadmap Ship rapid iterations across optimisation, ML … and infrastructure If you’re a PM who’s passionate about climate, data, and building from 0→1 , this is the kind of role that lets you make impact at global scale . 👉 Curious? Let’s chat. More ❯