1,501 to 1,525 of 2,470 Data Science Jobs in England

values an outstanding academic background, so we are looking for a 1st class honours or high 2.1 degree from a top university in Computer Science, Maths, Physics, Electronics or similar. Minimum of AAA at A Level or equivalent UCAS points We are specifically looking for those with knowledge in … R&D Software Engineer - Graduate Considered Contribute to various technical tasks to support research and development objectives, gaining hands-on experience across software engineering, data science, and machine learning in a dynamic start-up setting. Work alongside team members to design and develop software solutions addressing the company … s unique challenges. Develop techniques for data collection, preprocessing, and optimisation to support machine learning and algorithm development. Take responsibility for managing and maintaining operational company systems, primarily Linux-based. What this offers: An opportunity to join a success story in the making Joining founders who are well-versed More ❯

We are seeking an innovative and technically strong data scientist with a background in optimization, machine learning, and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical/machine learning methods to complex decision … making problems, with data coming from various data sources. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail … and ability to work in a fast-paced and ever-changing environment. Key job responsibilities Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question Given a business problem, estimate solution feasibility and potential More ❯

Redress Analytics Data Scientist Location: Birmingham/Hybrid Contract: Until end of Sept 2025 Rate: £565.10 p/d Umbrella If you’re looking for a career that will help you stand out, join HSBC Innovation Bank and fulfil your potential. Whether you want a career that could take … and rewards that will take you further. We are currently seeking an experienced individual to join this team in the role of Redress Analytics Data Scientist. Why should you join HSBC and UK CMB Data & Analytics? Founded in 1865, HSBC is one of the world’s largest banking … Our network covers 64 countries and territories in Europe, Asia, the Middle East and Africa, North America, and Latin America. What is UK CMB Data & Analytics? UK Commercial Banking Data & Analytics supports HSBC’s business capabilities in trade and receivables financing, liquidity and cash management, capital financing and More ❯

We seek an experienced Senior Manager, Gen AI Architect, specializing in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I. Generative AI is transforming ER&I, offering unprecedented … delivers cutting-edge Gen AI solutions enabling ER&I clients to thrive. ER&I organizations are adopting innovative approaches to model building, customization, and data management, including transfer learning and robust data governance. A well-designed Gen AI platform is at the heart of our clients' GenAI CoE … strategy. The Senior Manager, Gen AI Architect role is crucial to shaping and executing this vision. Our AI & Data team specializes in implementing Gen AI solutions that drive tangible value for ER&I clients by: Identifying Gen AI opportunities aligned with client strategy. Gathering detailed requirements. Designing scalable Gen More ❯

foundations, governments and other investors based in the U.S. and abroad. Position Overview: The successful candidate will work on some of the most challenging data science problems in Responsible Investing. In this role, you will help design custom solutions to meet clients' sustainability needs and develop an understanding … clients' and prospects' questions, based on knowledge of Acadian's processes and pertinent new research. Explore structured and unstructured datasets with a focus on data preparation, transformation, outlier detection, and feature engineering. Collaborate on the design of ESG constraints for client-driven investment solutions, help build predictive models and … design interactive data applications. We're Looking for Teammates With: Bachelor's degree in Quantitative Finance, Computer Science, Mathematics, Statistics, or a related STEM field, with 2+ years of experience on the buy-side or sell-side. Strong communication skills with the ability to translate complex analytical insights More ❯

maintain a lightning-fast, resilient, scalable build system that templates, renders and compiles many languages for many targets - and feeds machine learning algorithms with data about its operation. Ruthlessly optimise, refactor, and deprecate existing production tools, flows, scripts Integrate and optimise use of external-vendor EDA tools & suites Improve … tools (eg. simulation, linting, synthesis) Systemverilog, C/C++, Simulator DPI/VPI Containerization (eg. Docker) Distributed Compute, Orchestration Jenkins Automation Software templating, rendering Data Engineering/Data Science/Machine Learning Who we are Imagination is a UK-based company that creates silicon and software IP More ❯

about solving complex logistics challenges that directly impact millions of customers? Our Logistics Analytics team is at the forefront of revolutionizing delivery experiences through data-driven solutions and innovative technology. As an Applied Scientist, you will join a team dedicated to optimizing our delivery network, ensuring customers receive their … scheduling solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of last-mile delivery. Your work will directly influence customer experience and operational excellence. The ideal candidate will … possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact on one of the world's most sophisticated logistics networks while working with pioneering technology and data More ❯

travel as required. Must meet the FBI's Employment Eligibility requirements. EDUCATION Candidates must have a bachelor's degree or higher (preferably in computer science, engineering, data science, information technology, or a related field) from a U.S. accredited college or university. The FBI is an Equal Opportunity More ❯

our team in the Food & Beverages industry. In this role, you will play a pivotal part in supporting the delivery of profitable growth through data manipulation, predictive analytics, and reporting tools. Your expertise will directly influence business performance, enabling you to make a tangible impact on Britvic's commercial … based selling stories. Build, create, and maintain appropriate reporting suites/dashboards for price and promotional management using a combination of internal and external data sources. Support the Value Strategy team in creating and maintaining predictive analytics toolsets to enable efficient and effective price and promotional plan creation and … a more category-centric approach to planning and selling pricing and promotional plans. Requirements Strong proficiency in Excel and Microsoft Office suite. Knowledge of data management tools, coding, and data visualization (e.g., Alteryx, Snowflake, Python, R, SAC, Power BI). Knowledge of statistical modeling techniques (e.g., linear regression More ❯

algorithms for automated execution solutions. Main Responsibilities Work closely with the Energy Markets Quantitative Analytics team, other analyst teams, traders and the IT and data organizations to contribute to the delivery of ongoing systematic trading and automated execution projects Design, implement, and support systems underpinning the activities of the … practise expertise to the team Experience Required: A least 5 years’ experience developing software Experience building systematic trading systems, automated execution tools or market data processing systems using historical or real time data Proven ability to identify and implement the best technological tool for the job Ownership of … similar, CI/CD including Git repositories and pipelines Ability to write clean, readable, reusable and well tested code Beneficial requirements: Python and its Data Science stack Timeseries database technologies Person specification Background in computer science, finance, maths or other quantitative subject Hands-on approach, flexible and More ❯

algorithms for automated execution solutions. Main Responsibilities Work closely with the Energy Markets Quantitative Analytics team, other analyst teams, traders and the IT and data organizations to contribute to the delivery of ongoing systematic trading and automated execution projects Design, implement, and support systems underpinning the activities of the … practise expertise to the team Experience Required: A least 5 years’ experience developing software Experience building systematic trading systems, automated execution tools or market data processing systems using historical or real time data Proven ability to identify and implement the best technological tool for the job Ownership of … similar, CI/CD including Git repositories and pipelines Ability to write clean, readable, reusable and well tested code Beneficial requirements: Python and its Data Science stack Timeseries database technologies Person specification Background in computer science, finance, maths or other quantitative subject Hands-on approach, flexible and More ❯

model performance, implementing improvements based on analysis. Document and standardize ML processes, pipelines, and model specifications. Collaborate with cross-functional teams spanning research, engineering, data science, product managers and other stakeholders to understand business needs and identify opportunities for ML applications. Work closely with engineering teams to integrate … and frameworks (e.g., TensorFlow or PyTorch). Solid understanding of various machine learning algorithms (e.g., classification, regression, clustering) and their practical applications. Proficient in data manipulation and analysis using tools like SQL and Pandas. Broad ML skillset and are happy to work on all aspects of ML problems. Not … only modeling, but also feature work in data pipelines, some implementation in data pipeline workflows, experimentation setup and analysis. Experience with model evaluation metrics and techniques for ensuring model quality and generalization. Experience with cloud platforms (e.g., GCP, AWS, Azure) and their ML services. Comfortable communicating technical concepts More ❯

model performance, implementing improvements based on analysis. Document and standardize ML processes, pipelines, and model specifications. Collaborate with cross-functional teams spanning research, engineering, data science, product managers and other stakeholders to understand business needs and identify opportunities for ML applications. Work closely with engineering teams to integrate … and frameworks (e.g., TensorFlow or PyTorch). Solid understanding of various machine learning algorithms (e.g., classification, regression, clustering) and their practical applications. Proficient in data manipulation and analysis using tools like SQL and Pandas. Broad ML skillset and are happy to work on all aspects of ML problems. Not … only modeling, but also feature work in data pipelines, some implementation in data pipeline workflows, experimentation setup and analysis. Experience with model evaluation metrics and techniques for ensuring model quality and generalization. Experience with cloud platforms (e.g., GCP, AWS, Azure) and their ML services. Comfortable communicating technical concepts More ❯

Select how often (in days) to receive an alert: VIE Data Scientist Databricks About Crown Crown Holdings, Inc. , is a world leader in the metal packaging production process. We design and manufacture a wide range of innovative and sustainable metal packaging solutions and products. Our clients are some of … essential to our long-term future. About this opportunity Your work environment : Our European Information Systems and Services (EISS) department is looking for a Data Scientist Databricks Engineer on a VIE contract for 12-24 months based at Wantage (UK). With a good background in data engineering … you will support our IT Teams in the development and maintenance of data dashboards using Microsoft technologies (including Power BI, Azure Data Factory) and Databricks. The ideal candidate will be capable to learn or have a first experience in designing scalable data pipelines, integrating diverse data More ❯

Permanent Role Shape the Strategy Behind £30M in Media Spend at a Leading UK Retailer A major UK retail brand is looking for a data-driven Analytics Manager - Marketing Effectiveness to join their expanding analytics function. This is a fantastic opportunity to work across a wide range of marketing … recognisable fashion brands. The Role: You'll focus on driving insight across brand marketing, CRM and performance marketing - analysing effectiveness, improving ROI, and supporting data-driven decisions across a £30m media budget. With CRM accounting for 50% of total sales, email marketing analytics will be a critical area of … focus. Key Responsibilities: 📈 Analyse and optimise marketing performance across channels (brand, CRM, performance/digital) 🧠 Translate campaign and channel data into actionable insights for stakeholders across marketing and ecommerce 📊 Lead ROI and attribution analysis to shape future media spend 📬 Drive deeper understanding of CRM performance - especially email marketing effectiveness More ❯

AI-related roles. Key Responsibilities: Design, develop, and optimize machine learning (ML) and deep learning (DL) models to improve AI-powered applications. Work with data scientists and software engineers to collect, preprocess, and analyze large datasets for AI training and inference. Implement and fine-tune AI algorithms for tasks … in model evaluation, consulting other teams and helping out CEO of the unit . Requirements: Bachelor’s or Master’s degree in Artificial Intelligence, Data Science or equivalent experience of 5years. Strong programming skills in Python and preferably SQL, javascript. Experience with Agentic AI. Familiarity with cloud platforms … AWS, Azure, Google Cloud) and MLOps tools. Understanding of data structures, algorithms, and software engineering principles and also when to prototype. Experience with data preprocessing, feature engineering, and model evaluation techniques. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication More ❯

AI-related roles. Key Responsibilities: Design, develop, and optimize machine learning (ML) and deep learning (DL) models to improve AI-powered applications. Work with data scientists and software engineers to collect, preprocess, and analyze large datasets for AI training and inference. Implement and fine-tune AI algorithms for tasks … in model evaluation, consulting other teams and helping out CEO of the unit . Requirements: Bachelor’s or Master’s degree in Artificial Intelligence, Data Science or equivalent experience of 5years. Strong programming skills in Python and preferably SQL, javascript. Experience with Agentic AI. Familiarity with cloud platforms … AWS, Azure, Google Cloud) and MLOps tools. Understanding of data structures, algorithms, and software engineering principles and also when to prototype. Experience with data preprocessing, feature engineering, and model evaluation techniques. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication More ❯

and ability to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions on cloud platforms. You will be familiar with big data tools and technologies for handling large datasets and have hands-on experience with cloud providers like Google Cloud Platform (GCP) . Responsibilities: Utilise cloud … solutions (e.g. ) to build and deploy scalable AI solutions. Process and analyse large datasets to train and evaluate AI/ML models. Collaborate with data scientists to optimise model performance and accuracy. Develop and maintain AI/ML pipelines for data ingestion, processing, and model training. Integrate AI … latest advancements in AI/ML and cloud technologies. Contribute to the development of AI/ML strategy and best practices. Requirements: Knowledge of data structures, algorithms, and software design principles. Experience with machine learning frameworks: Preferably hands-on experience with cloud platforms (GCP) and their AI/ML More ❯

fastest-growing companies to launch your career At causaLens we are building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond … correlation-based predictions and have a real impact on the most important decisions for the business. Our platform is trusted and used by data science teams in leading organizations and provides real value across a wide variety of industries, and it's only the beginning. Our Mission To … leadership in the development of our Causal AI platform, guiding both the vision and execution within our Product Engineering team, which includes software engineers, data scientists, and machine learning experts. While you will actively contribute to coding and algorithm development, you will also play a pivotal role in mentoring More ❯

The Role We are seeking an experienced Software Development Manager with extensive expertise in AI, Data Engineering, and Architecture. You will lead the development of scalable, AI-driven solutions, combining deep technical knowledge of AWS Cloud Services, MLOps, and core Data Science concepts with proven leadership and … up for quality for our customers then we want to talk to you. Key responsibilities Lead engineering teams to deliver high-quality AI and Data solutions. Define and oversee solution and technical architecture decisions. Drive the technical vision, including the selection of appropriate technologies, frameworks, and architectural patterns. Review … designs, providing feedback to Product Management and Architects. Oversee the end-to-end lifecycle of AI projects including data ingestion, ML model development, deployment, and monitoring. Implement and refine MLOps processes, ensuring robust and scalable delivery of models into production. Plan, initiate, manage, and monitor technical projects from end More ❯

My client is a quantitative hedge fund: they combine deep expertise in trading, technology, and data science to drive uncorrelated, high-quality investment returns. Their team of software developers and engineers work globally to deliver next-gen data pipelines. If you're a skilled Python developer who … some of the best quants, traders, and engineers in the industry. At the cutting-edge of technology, they are building high-performance, large-scale data analysis pipelines. A data-driven culture, leveraging advanced statistical and machine learning techniques. Global collaboration with offices in major financial hubs worldwide; cross More ❯

My client is a quantitative hedge fund: they combine deep expertise in trading, technology, and data science to drive uncorrelated, high-quality investment returns. Their team of software developers and engineers work globally to deliver next-gen data pipelines. If you're a skilled Python developer who … some of the best quants, traders, and engineers in the industry. At the cutting-edge of technology, they are building high-performance, large-scale data analysis pipelines. A data-driven culture, leveraging advanced statistical and machine learning techniques. Global collaboration with offices in major financial hubs worldwide; cross More ❯

members and non-technical members in architecture, design and code reviews. Analyze and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies. Produce reusable code according to standard methodologies in Python. You Bring: Masters degree in CS/… Statistics/Data Science, with a specialization in machine learning or equivalent experience. Experience with Python, and ideally also Scala or Java. Experience in developing ML models for structured data, and ideally also unstructured data. Industry work experience in designing and implementing large-scale machine learning-based More ❯

A global insurer is looking to hire a Head of Data Analytics for their London Market team. The business is well known and has had double digit growth year on year for the past 15 years. This is an AVP level position and it is essential that the individual … has London Market experience. The Role: Lead the London Market Analytics team, overseeing data scientists, engineers, and technical experts to deliver impactful, analytics-led solutions. Partner with underwriting stakeholders to design predictive models and tools that enhance decision-making and portfolio profitability. Drive the development and deployment of advanced … leadership on new opportunities for analytics to support London Market underwriting. Mentor and develop team members, fostering technical growth and collaborative culture. Apply strong data manipulation skills using Python, SQL, and visualization tools like PowerBI. Utilize or be familiar with cloud-based platforms such as Azure, Snowflake, and Databricks. More ❯

A global insurer is looking to hire a Head of Data Analytics for their London Market team. The business is well known and has had double digit growth year on year for the past 15 years. This is an AVP level position and it is essential that the individual … has London Market experience. The Role: Lead the London Market Analytics team, overseeing data scientists, engineers, and technical experts to deliver impactful, analytics-led solutions. Partner with underwriting stakeholders to design predictive models and tools that enhance decision-making and portfolio profitability. Drive the development and deployment of advanced … leadership on new opportunities for analytics to support London Market underwriting. Mentor and develop team members, fostering technical growth and collaborative culture. Apply strong data manipulation skills using Python, SQL, and visualization tools like PowerBI. Utilize or be familiar with cloud-based platforms such as Azure, Snowflake, and Databricks. More ❯