676 to 700 of 2,135 Data Science Jobs in England

Sector Data Analyst About our Client and the Role Our client is a $20b systematic hedge fund looking to hire a sector data analyst/data scientist to focus on generating interesting insights for healthcare, energy, or industrial sector stocks from fundamental data, alternative datasets, and other unstructured data. Your work will augment fundamental analysts, and … help drive investment decisions. You will also work alongside quantitative researchers and portfolio managers to help build predictive models from alternative data for systematic strategies. Responsibilities Generate insights and identify trends from alternative datasets; Project key performance indicators (KPIs) for various public companies in the healthcare, energy, or industrial sectors; Work with other data scientists and quantitative researchers … to identify and develop features useful for building predictive models; Present research to portfolio managers, investment teams, and other internal users; Stay abreast of alternative data developments and identify potential new data sources and vendors; Collaborate with engineering and data sourcing teams to vet data vendors, ensure data integrity and quality; Requirements Bachelor's degree More ❯

engineering for the role of Analytics Engineer. Whether you're an analyst with a knack for building scalable solutions or an engineer eager to expand into a more analytical, data-focused role, this opportunity offers the blend of both. The role is ideal for a curious, hands-on professional who enjoys solving complex problems, working across diverse data … real difference, we'd love to hear from you. What you'll on a Typical day : Develop diverse technical skills : this unique opportunity allows you to build expertise across data science, analytics and engineering, blending these disciplines into a highly valuable skill set. Collaboration with experts : work closely with scientists, analysts and engineers with the team, gaining hands … multidisciplinary tasks : take on a variety of projects that combine the roles of scientist, analyst and engineer, offering a diverse and rewarding work experience. Help build a large-scale data product: be part of developing a sustainable, scalable data product, enhancing your ability to design and build solutions that meet both current and future needs. Master modern software More ❯

are proud to be part of The Stepstone Group, a global expert in job-tech platforms. Being part of a global team allows us to leverage cutting-edge technology, data, and industry expertise to enhance our services and continuously innovate our technology to meet the evolving needs of the job market. Job Description The role of Product Analytics Manager … in our company is at the intersection of several disciplines: Product Analytics, Insights Analytics, Data Engineering and Data Science. Your team's projects will cover a broad range of topics, from working with engineers to implement event tracking on our platforms, all the way to generating data insights and sometimes building predictive models, ultimately helping our Product … products, which solve meaningful user problems. You and your team are part of a larger Product Analytics group, and will be working closely with Product Directors, Heads of Product, Data Engineers, Data Scientists and many other stakeholders to ensure we take data-driven product decisions at every step of the way, helping turn our Data and More ❯

Location: London, United Kingdom Internal job title: Senior Expert Data Science/Data & AI Engineer About the Role: Complex data are integral to our work in clinical studies. This position is part of a newly established AI & Data Engineering team within the Advanced Quantitative Sciences function at Novartis. Our mission is to leverage automation and … artificial intelligence to unlock the potential of complex scientific data sources. By accelerating quantitative decision-making in clinical trials through high-quality data assets and tools, we aim to bring innovative medicines to patients faster. The Data & AI Engineer actively contributes to the development and implementation of computational automation methods for tasks such as data extraction … drive measurable impact in our drug development day-to-day work. About the Role Key Responsibilities: Develops AI/automation tools and solutions to accelerate work with documents and data from clinical trials. Delivers technical excellence by designing and implementing technology aspects of applied AI and automation projects, from concept to deployment. Contributes to defining the scope, goals, and More ❯

of a TRANSFORMATION and TECHNOLOGY is simultaneously at the FOREFRONT and the DRIVING FORCE. Our innovative technology platforms and smart content solutions operate at the cutting edge of big data, semantic web and cloud technology, enabling faster more effective critical decision-making daily across the globe. Product Mendeley is part of Elsevier. Mendeley is changing the way research is … help researchers and scientists do their work. We've built a global research collaboration platform, reference management tool and open research database. The Role We are looking for a Data Scientist whose main responsibilities are to research, develop and evaluate algorithms in order to build software tools for researchers. You will contribute to building systems that help researchers to … one another, and discover new research. Responsibilities: Research, develop and evaluate algorithms for use in Mendeley's software tools Demonstrate how well these algorithms perform when applied to real data Work with engineering teams to deliver algorithms in production environments What you'll be doing Identify, obtain and prepare data sets for training and testing algorithms Research, develop More ❯

Lead Data Engineer As a Lead Data Engineer, you'll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: * Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements. … Design and implement a scalable, reliable, and cost-efficient modern cloud data platform. * Build and maintain robust ETL/ELT pipelines for processing and managing large volumes of structured and unstructured data. * Create and manage Power BI dashboards, reports, and data models to provide strategic insights. * Integrate cutting-edge technologies like AI, real-time analytics, and automation into … our data infrastructure. * Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: * Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. * Advanced skills in Power BI, including DAX, Power Query, and data modelling. * Strong programming abilities in Python, SQL, and/or Scala. * Expertise in ETL/ More ❯

About EIT: The Ellison Institute of Technology (EIT) purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity's most challenging problems. EIT will ensure scientific discoveries and pioneering science are turned into products for … by a faculty of world experts, EIT seeks to solve the world's most challenging problems across four high-risk, high-reward, high-impact humane endeavours: health and medical science; food security and sustainable agriculture; climate change and clean energy; and artificial intelligence & robotics. EIT is investing significant resources in a new world-class research and development facility in … the Oxford Science Park. Set for completion in 2027, the state-of-the-art campus includes 300,000 sq ft of research laboratories, an oncology and preventative care clinic, and educational and meeting spaces. Together, they create the perfect environment for EIT experts to take ground-breaking ideas from research to broad implementation. The new facility will further EIT More ❯

Company Description At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased … becoming the worlds leading job-tech platform. Job Description The role of Product Analytics Manager in our company is at the intersection of several disciplines: Product Analytics, Insights Analytics, Data Engineering and Data Science. Your teams projects will cover a broad range of topics, from working with engineers to implement event tracking on our platforms, all the way … to generating data insights and sometimes building predictive models, ultimately helping our Product organisation deliver great products, which solve meaningful user problems. You and your team are part of a larger Product Analytics group, and will be working closely with Product Directors, Heads of Product, Data Engineers, Data Scientists and many other stakeholders to ensure we take More ❯

Data focused tech business within the automotive industry. Role - Data Engineer Type - Fixed term contract (3 months) Salary - £70,000 - £75,000 Location - Hybrid, 2 days per week in the office (Victoria, London)/3 day remote Start - ASAP, need to have the ability to start by 8th August Spec - PURPOSE OF POST: To implement scalable and efficient … data models, databases, and processing systems Create and test the additional Reports/Extracts required for Customers Support the Data team with process implementation, E2E testing, OLTP/OLAP reconciliation activities, keeping documentation up to date, fixing any issues with data based on feedback from SMEs To build robust, fault-tolerant data pipelines for ingesting, processing … and transforming large volumes of data To collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data requirements and provide solutions To assist with report/data extract creation and data delivery activities related to the transition of services for stakeholders Work with IT and DevOps teams to set More ❯

Are you a Data Scientist with a passion for machine learning and finance? BONDS is seeking a talented individual to join our front office team and play a crucial role in forecasting investor behavior and driving strategic market decisions. Commerzbank and Capital Markets are a strong player in BONDS and have ambitions to grow while fully embracing the AI … exciting journey. Your tasks Collaborate with primary and secondary market teams to develop models forecasting investor behavior using advanced machine learning techniques. Work on the development and maintenance of data infrastructure to support robust data analysis and model development, in close cooperation with our Delivery Organisation/IT/Big Data internal partners Generate proactive ideas to … customers. Working in a highly regulated environment, you will follow all essential procedures and standards of practice in compliance with respective regulatory and legal requirements Your profile Degree in Data Science, Mathematics, Physics, Engineering, Econometrics, or a similar highly quantitative discipline several years of professional experience Strong numerical, analytical, and problem-solving skills Proficiency in programming, preferably Python More ❯

Social network you want to login/join with: Our Data Services Team offers a variety of data products with a strong focus on engineering, including data science and data analytics, to help our business users, mainly trading teams, make data-driven decisions and improve their business operations. At Macquarie, our advantage is bringing … You'll be part of a friendly and supportive team where everyone-no matter what role-contributes ideas and drives our success. What role will you play? As a Data Platform Engineer, you will join our dynamic Engineering team developing cutting-edge data product solutions. You will build and maintain applications ranging from cloud infrastructure automation, APIs, query … DevOps and Engineering background Proficient in writing infrastructure as code for public cloud Experience with Python coding/testing or any Cloud-based technology (AWS preferred) Good understanding of Data Observability Good understanding of Hosting Platform Linux/Unix (EKS and Container experience is a plus) Good understanding of Databases, Data Lakes, and Query Engines, SQL/DDLs More ❯

Do you want to use data to help drive the direction of products that impact the lives of over 1 billion people every day? If yes, we want to talk to you. We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product … launches and roadmaps by building the data architecture that informs and drives insight. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and … see your efforts affect products and people on a regular basis. Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision. Define the processes needed to achieve operational excellence in all areas, including project management and system reliability. Build a high-quality BI and Data More ❯

Head of Data Engineering | High-Growth InsurTech London - Hybrid (Once per week in office)Up to £120,000 (Maybe £130,000) + Bonus + Share Options Are you a data leader who loves building high-performing teams and scalable platforms? I'm hiring for a Head of Data Engineering at a rapidly growing InsurTech company that's … motor insurance works-making it simpler, fairer, and more personalised. This is a hands-on leadership role where you'll set the strategy, guide architecture, and empower a talented data engineering team to deliver world-class data systems in a fast-paced, product-led environment. Why This Role Stands Out Competitive salary + company share options Hybrid working … scale-up with a strong mission and serious funding Modern tech stack: Python, SQL, Snowflake, Apache Iceberg, AWS, Airflow, dbt, Spark Work cross-functionally with engineering, product, analytics, and data science leaders What You'll Be Doing Lead, mentor, and grow a high-impact team of data engineers Define and deliver the data engineering roadmap aligned More ❯

fraud, money laundering, and terrorism financing. Our mission is to minimise losses and risk exposure while supporting trust, operational efficiency, and regulatory compliance. We are a multidisciplinary team of data scientists, analysts, machine learning engineers, and backend engineers working together to detect and respond to suspicious activity. We own the end-to-end platform that powers our real-time … and batch monitoring capabilities, including: A custom alerting and orchestration platform, built on Airflow, that enables scalable, auditable detection pipelines. Data pipelines in DBT and Snowflake that serve both ML models and rule-based logic. Backend services and APIs that handle case management, automated decisioning, merchant termination workflows, and integrations with adjacent platform services. We collaborate closely with Compliance … Risk, Platform Engineering, Data Engineering, and Operations teams to continuously evolve our systems and respond to emerging threats. Your Mission As a Senior Backend Engineer in the Customer Risk Monitoring team, you will: Work collaboratively with data scientists, data analysts, data engineers and machine learning engineers to build and maintain the engineering infrastructure supporting our analytical More ❯

We’re hiring a Data Scientist for a a data-driven business helping household brands stay ahead of shifting consumer trends. This role is ideal for someone with around 3 years’ experience in market research, analytics, or subscription-based businesses who’s ready to apply data science in a product-led environment and leading a team. … play a key part in developing analytical solutions that shape how global clients access and understand consumer insights. Working alongside product managers, analysts, and developers, you’ll help build data pipelines, explore AI-driven features, and contribute to smarter tools that enhance the user experience. Responsibilities: Supporting the design and implementation of scalable data pipelines Building predictive models … and automation tools to streamline insight delivery Exploring the use of LLMs and AI to enhance product functionality Collaborating with cross-functional teams to align data solutions with user needs Analysing platform usage and market trends to guide strategic decisions Requirements: Around 3 years of experience in data science, analytics, or advanced market research Proficient in Python More ❯

make complexity manageable and insight actionable - supporting everything from premium and ads growth to forecasting, experimentation, and global reporting. Location London Job type Permanent As engineers in the Financial Data Platform team, we turn messy, fragmented realities into clean, reusable foundations. We build core datasets that represent key financial domains like Premium, Ads, and Royalties. We create libraries and … tools that empower others to produce and trust financial data at scale. We collaborate deeply with Finance, Product, and Data teams to unlock clarity and drive Spotify's ambitions forward. We are looking for engineers who are excited to shape the future of financial data at Spotify. You will design and operate scalable pipelines that process billions … of records. You will apply product thinking to financial data - managing the full lifecycle from sourcing to documentation to exposure. You will define abstractions that simplify complexity and create intuitive paths for our consumers. Together, we advocate for standards, champion quality, and build systems that others can rely on with confidence. If you thrive on building foundations that have More ❯

An exciting opportunity has arisen for an experienced Data Solution Architect to become part of the National Data and Analytics (NDA) Platform & Engineering Team. The NDA Platform & Engineering Team is working on providing data to drive the business forward. You'll work in a team that has access to end-to-end business data whilst also … working with new technologies and data sources. As part of NDA, you will collaborate with Business Partners, Data Scientists and Report Developers to deliver data driven solutions to the business. We are looking for someone to come into supplement the existing NDA team in delivering significant data solutions using industry level best practices. Reporting to the … Platform and Engineering Manager, the candidate will be required to design and manage data warehousing solutions, including the development of data models, ETL processes and data integration pipelines for efficient data consolidation, storage and retrieval, providing technical guidance and upskilling for the team, and conducting monitoring and optimisation activities. If youre a hardworking individual thats ready More ❯

small-ticket lending portfolio. Working closely with the Head of Credit Strategy and Analytics, you'll bring deep analytical expertise, strong business acumen, and a passion for using unconventional data sources to inform smarter lending decisions. This is a high-impact position for someone excited by fast-moving fintech, eager to build smarter credit systems, and ready to contribute … performance, and early warning indicators to identify emerging risks and opportunities. Recommend tactical or strategic changes to mitigate loss rates and drive portfolio profitability. Refine Underwriting Scorecards: Collaborate with Data Science teams to design, test, and deploy new scorecards and scorecard-driven strategies in our automated credit systems. Leverage Alternative Data: Analyse structured and unstructured data … aligns with customer experience, operational capabilities, and commercial goals. Requirements Who you are Analytically Exceptional: You have a strong academic foundation, ideally with a degree in Mathematics, Statistics or Data Science. You bring know-how of credit risk analytics, scorecard development, and data-driven strategy design. Technically Proficient: You have strong hands-on coding skills in SQL and More ❯

as a Senior Analytics Engineer At Accurx, we are taking the company's self-serving capabilities to the next level and are looking for a talented analytics engineer with data modelling experience to join us!We want our users and everyone at Accurx to have access to the data they need to make data-informed decisions every … day. We can only do that if our data is centralised, clean, and our models are up to gold standards. You'll work closely with your fellow team members in our data functions to ensure that happens and with the wider company to understand stakeholders' pain points when accessing data and propose self-serving solutions. Your day … to day tasks, should you choose to accept this mission You'll maintain the presentation layer of our data warehouse for reporting and analysis, including databases, schemas, views and tables. You'll build well-tested, up-to-date and documented data models that the rest of the company can use to answer their questions. You'll work closely More ❯

to power their UK expansion. We're growing at a top 0.01% among all European Series A startups. About the role As a highly operational business, we rely on data science to power every part of our network. From day one, we've built Relay around a deep understanding of our supply chain, using our best-in-class … data assets to set strategy, improve quality, and optimise performance across every layer of the network. Our high-impact data team works across forecasting, optimisation, pricing, geospatial modelling, infrastructure planning, and more. Whether it's planning courier capacity, guiding pitstop expansion, or improving the economics of delivery, our work directly shapes how Relay scales. We are looking for … Data Scientists to join our growing data team; these are hands-on roles with wide scope and strong exposure to decision-making. You'll partner closely with operations, product, and commercial teams to solve practical problems with real-world impact, often working from messy datasets and complex systems, where the answers don't sit neatly in one model. More ❯

Managers and Solution Designers to develop practical solutions. DevOps Methodologies: Utilise modern DevOps practices to enhance efficiency and productivity. Technology Trends: Leverage emerging technologies in AI, machine learning and data science for professional services. You'll be someone with: Python Expertise: Deep knowledge of Python and its ecosystem for complex applications. Cloud Deployment: Experience with cloud-native applications … Azure. AI Frameworks and Tools: Familiarity with frameworks and tools such as LangChain, LlamaIndex, CrewAI, Semantic Kernel, Autogen and Agno. An understanding of how Large Language Models (LLMs) work. Data Engineering & Modelling: Understanding of ORM/entity relationships, NoSQL, JSON, XML, SQL and exposure to data visualisation tools (ETL/ELT). Data Science Tools: Proficiency … CD) using Bicep or similar technologies. Expertise in deploying, monitoring and managing machine learning models in production environments. API Development: An understanding of REST. Experience with Flask or FastAPI. Data Validation: Knowledge of Pydantic for data validation. Scripting and Prototyping: Use of Jupyter Notebooks for quick prototyping. DevSecOps Practices: Understanding of secure coding and automated testing. Experience with More ❯

and thats why good things happen when you meerkat. Wed love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and a wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will identify the tech requirements to productionise automated, scalable and … what makes you great for this role. Some of the great things youll be doing: Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products. Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies. Work with data scientists to productionise various ML models, ensuring the code follows … Follow best practices for the management and interrogation of large scale structured and unstructured datasets (million+ rows with thousand+ features, policy documents, etc). Enable the collection of new data and the refinement of existing data sources. Help manage day to day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated More ❯

Join to apply for the Principal AI Data Scientist role at Atorus Join to apply for the Principal AI Data Scientist role at Atorus Get AI-powered advice on this job and more exclusive features. Description The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/… GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Research and Development. full-time remote from anywhere in the UK Description The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across … Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports More ❯

million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description The Opportunity As a Senior Data Scientist at Cint, you will play a pivotal role in optimizing the Cint Exchange. Collaborating closely with product and engineering teams, you will deliver data-driven solutions to … enhance the performance of existing products, inform the development of new offerings, and deepen our understanding of marketplace dynamics. This role involves advanced data mining and analytics, robust product and data validation, and the development of sophisticated statistical and machine learning-based methodologies. The ideal candidate will have a strong ability to independently research, develop, and maintain high … recommendations through compelling visualizations and presentations tailored to diverse technical and non-technical audiences. Qualifications What we are looking for Minimum 5 years of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives. A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a More ❯

power their UK expansion. We're growing at a top 0.01% among all European Series A startups. About the role As a highly operational business, we rely on our Data Scientists to guide how every parcel moves through our network - from when it enters the system to when it's delivered at the doorstep. We're hiring an Operational … Research Data Scientist to join our Routing squad, helping to design, test, and improve the models and algorithms that power routing across Relay's first, middle, and last mile. This role sits at the intersection of operations research and applied data science; it's well-suited to someone who enjoys turning real-world routing challenges into scalable … solutions. You'll work directly in a cross-functional squad which includes Operations, Engineering, Data Analytics, and Data Science, to improve the quality of our routes and reduce the cost of delivery. You'll also play a key role in shaping our future routing strategy, working across all areas of the business to unlock efficiency, scale into More ❯