51 to 75 of 202 Big Data Jobs in England

Reports to: Team Leader, Analytics, Claims and Underwriting Solutions (International) Location: London/Hybrid Business Description Verisk Analytics is a multinational data and analytics risk assessment company and a leading source of information about insurance risk. To serve our clients, we draw upon our vast experience in data management and predictive modelling to offer decision analytics to the … residential and commercial property perils, motor insurance, SME business covers, travel, pet and health insurance. To feed our risk models we source many diverse datasets covering high resolution weather data, property attributes, business activities and financial data, insurance claims and policies, medical information, aerial imagery and geodemographic data. In claims solutions we support end-to-end claims handling … real-time fraud analysis and image forensics we help detect fraud at every stage of the claim and manage cases more effectively. Role Purpose Verisk are looking for a Data Scientist to support the development of various data science models to support the development of our risk management products. The International Analytics Team is a dynamic and exciting More ❯

Data Engineer - Generative AI & Secure Data Platforms Hybrid Working | UK-Based | SC Clearance Up to £60k + Paid Overtime + Bonus + Benefits Engineer the Future of Secure AI Innovation Are you ready to use your data engineering skills to build secure, intelligent platforms that power generative AI and national resilience? This is a hands-on opportunity … to join a high-impact, high-trust organisation working on next-gen data platforms. You'll be part of a collaborative international team, helping internal customers unlock the full potential of their data securely and intelligently. What You'll Be Doing Design, deploy, and maintain resilient data pipelines across on-prem and cloud environments Collaborate with internal … teams to optimise and secure sensitive data-sets Ensure compliance with strict data governance and quality standards Contribute to the technology roadmap with insights into emerging tools and platforms Work across SQL, NoSQL, Python, ETL, and big data ecosystems Support projects involving Generative AI, NLP, and OCR What You'll Bring Proven experience in on-prem More ❯

Data Engineer £45,000 - 55,000 GBP + Package Hybrid WORKING Location: Stevenage, Central London, Greater London - United Kingdom Type: Permanent Data Engineer - Generative AI Focus Location: Stevenage or Bolton (Stevenage preferred) Salary: £45,000 to £55,000 depending on experience Working Pattern: Hybrid, 2 to 3 days on-site per week Overview: A new opportunity has opened … for a Data Engineer to join a newly formed Generative AI delivery office. This role involves evaluating, designing, deploying, and supporting internal data sets, ensuring they are secure, resilient, and optimised for internal customer needs. Key Responsibilities: Build and maintain robust data pipelines and data sets Collaborate with internal stakeholders to optimise data usage and … security Ensure compliance with data governance and quality standards Contribute to the technology roadmap and deliver innovative solutions Stay current with emerging technologies in AI and data engineering Technical Skills Required: SQL technologies (e.g. MS SQL, Oracle) NoSQL technologies (e.g. MongoDB, InfluxDB, Neo4J) Data exchange and processing tools (ETL, ESB, API) Programming experience (Python or similar) Big More ❯

and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch … NumPy, Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. • Scientific thinking with the … the financial services industries and continuous integration models and unit test development • Knowledge in search/ranking, Reinforcement Learning or Meta Learning • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code • Published research in areas of Machine More ❯

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions … machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics … application of machine learning models across different areas of the businessRequired qualifications, capabilities, and skillsPhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding More ❯

Data Engineer - Generative AI & Secure Data Platforms Hybrid Working | UK-Based | SC Clearance Up to £60k + Paid Overtime + Bonus + Benefits Engineer the Future of Secure AI Innovation Are you ready to use your data engineering skills to build secure, intelligent platforms that power generative AI and national resilience? This is a hands-on opportunity … to join a high-impact, high-trust organisation working on next-gen data platforms. You'll be part of a collaborative international team, helping internal customers unlock the full potential of their data-securely and intelligently. What You'll Be Doing Design, deploy, and maintain resilient data pipelines across on-prem and cloud environments Collaborate with internal … teams to optimise and secure sensitive datasets Ensure compliance with strict data governance and quality standards Contribute to the technology roadmap with insights into emerging tools and platforms Work across SQL, NoSQL, Python, ETL, and big data ecosystems Support projects involving Generative AI, NLP, and OCR What You'll Bring Proven experience in on-prem to cloud More ❯

Principal Cybersecurity Machine Learning Engineer The position is a senior technical role, requiring knowledge of data engineering, data science, advanced analytics techniques, research and development, and innovation within one or more of the Cybersecurity sciences (e.g. network, endpoint and cloud security, cryptography, malware analysis, vulnerability assessment, privileged access management, anomaly/intrusion detection, incident response, or offensive security … based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. In this role you will: Data Engineering Ingestion and provisioning of datasets, delta tables, and/or curated, re-usable data assets to enable Cybersecurity use cases. Support and enhancement of data ingestion … Research & Development (R&D) and Innovation Drive innovative research & development to test and evolve new technologies and advanced analytic techniques. Explore and develo innovative capabilities, exploiting emerging technologies and data science to help stay ahead of advancing cyber threats. Rapid Response Respond to urgent requests to address vulnerabilities or emerging threats. Advanced Analytics & Security Software Development Support Cybersecurity teams More ❯

Where Data Does More. Join the Snowflake team. Senior Cloud Support Engineer - Clients & Connectivity Build the future of the AI Data Cloud. Join the Snowflake team. Snowflake Support is committed to providing high-quality resolutions to help deliver data-driven business insights and results. We are a team of subject matter experts collectively working toward our customers … form partnerships with customers by listening, learning, and building connections. Snowflake's Support team is expanding! We are looking for a Senior Cloud Support Engineer who likes working with data and solving a wide variety of issues utilizing their technical experience having worked on a variety of operating systems, database technologies, big data, data integration, connectors … and networking. As a Senior Cloud Support Engineer, your role is to delight our customers with your passion and knowledge of Snowflake Data Warehouse. Customers will look to you for technical guidance and expert advice with regard to their effective and optimal use of Snowflake. You will be the voice of the customer regarding product feedback and improvements for More ❯

Data Engineer – Leeds – Hybrid - Azure An innovative fintech scale-up revolutionising how financial institutions leverage their data assets. Based in Leeds, they're building next-generation solutions that help banks, investment firms, and financial services companies unlock the true potential of their data to drive smarter investment decisions and enhance customer experiences. The Role They need a … talented Data Engineer to join their rapidly expanding engineering team in Leeds. You'll be architecting robust data systems that power critical financial analytics, working with modern cloud technologies whilst tackling real-world challenges in the fast-paced fintech sector. This is an excellent opportunity for someone ready to make their mark in financial technology within a dynamic … career progression opportunities Brilliant team culture + socials What you'll need: Strong SQL skills - you'll be optimising queries and managing complex financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing More ❯

Here at Mindera, we are continuously developing a fantastic team, and would love it for you to join us. As a Senior Data Solutions Architect, you'll play a pivotal role in transforming client challenges into powerful data solutions. You'll be responsible for building, maintaining, scaling, and integrating robust, big data-based platforms that directly … support our clients' strategic goals. This is a fantastic opportunity for someone who is passionate about Data and are excited to use different tools to provide data insight for further analysis and drive business decisions. National and international expected traveling time varies according to project/client and organisational needs: 15% estimated. You are good at: Proven track … design innovative solutions. Strong communication and collaboration skills to work effectively in a team environment. Familiarity with SAAS implementation and integration. Programming in one or more languages within our data ecosystem (e.g. Python, SQL). You rock at: Experience as a Solutions Architect and Data Engineer. Proficiency in data warehousing concepts and multidimensional data modelling techniques. More ❯

of Specialist Solutions Architects (SSAs) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. You will guide and get involved to enhance … supportive manager capacity, including handling escalations, mentoring team members, building a career path for the assigned team members, etc. What we look for: Experience in senior roles in the data space with a technical product (i.e. data warehousing, big data, or machine learning) Experience leading technical customer-facing teams (team sizes greater than 8), preferably in … a pre-sales organisation leading technical engagements Trusted advisor to technical executives that guide strategic data infrastructure decisions Self-starter, challenger, strategic planner & analytical thinker Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations Experience hiring qualified candidates, ramping them up to be successful, and promoting into larger roles. Experience working More ❯

to assess, implement, and manage fraud detection tools and capabilities.Strong analytical skills with the ability to enrich, transform, and interpret large structured and unstructured datasets, including internal intelligence, external data sources, and fraud typologies.Solid understanding of cyber fraud attack vectors targeting the financial sector, including device and behavioural manipulation, location spoofing, identity fraud, and account takeover.Some other highly valued … skills may include:Escalate identified risks which may result in unacceptable fraud controls and losses, utilising data visualisation.Supervisory and mentorship experience, delegating responsibilities within financial services.Experience working with an industry leading digital identity, device, and behavioural profiling technology.Partner closely with governance and control teams to ensure proper documentation, risk ratings and controls in place for all rule and model … executions.Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing.You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business More ❯

Senior Data Engineer - Sought by Leading Commodities firm - Permanent - Hybrid - London Salary - Up to 135K + 20-30% Bonus About the role - We're looking for an experienced Data Engineer for the Surveillance IT team to develop ingestion pipelines and frameworks across the application portfolio, supporting Trade Surveillance analysts with strategy and decision-making. You should be experienced … in a data engineering role demonstrating a strong track record of designing, building, and maintaining data pipelines and data architectures. Required Skills - Proficiency in Python, Pyspark, SQL for data manipulation and querying. Experience with containerisation technologies, specifically Kubernetes and Docker. Proven experience in designing and implementing data pipelines, working with big data technologies More ❯

assess, implement, and manage fraud detection tools and capabilities. Strong analytical skills with the ability to enrich, transform, and interpret large structured and unstructured datasets, including internal intelligence, external data sources, and fraud typologies. Solid understanding of cyber fraud attack vectors targeting the financial sector, including device and behavioural manipulation, location spoofing, identity fraud, and account takeover. Some other … highly valued skills may include: Escalate identified risks which may result in unacceptable fraud controls and losses, utilising data visualisation. Supervisory and mentorship experience, delegating responsibilities within financial services. Experience working with an industry leading digital identity, device, and behavioural profiling technology. Partner closely with governance and control teams to ensure proper documentation, risk ratings and controls in place … for all rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as More ❯

assess, implement, and manage fraud detection tools and capabilities. Strong analytical skills with the ability to enrich, transform, and interpret large structured and unstructured datasets, including internal intelligence, external data sources, and fraud typologies. Solid understanding of cyber fraud attack vectors targeting the financial sector, including device and behavioural manipulation, location spoofing, identity fraud, and account takeover. Some other … highly valued skills may include: Escalate identified risks which may result in unacceptable fraud controls and losses, utilising data visualisation. Supervisory and mentorship experience, delegating responsibilities within financial services. Experience working with an industry leading digital identity, device, and behavioural profiling technology. Partner closely with governance and control teams to ensure proper documentation, risk ratings and controls in place … for all rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as More ❯

assess, implement, and manage fraud detection tools and capabilities. Strong analytical skills with the ability to enrich, transform, and interpret large structured and unstructured datasets, including internal intelligence, external data sources, and fraud typologies. Solid understanding of cyber fraud attack vectors targeting the financial sector, including device and behavioural manipulation, location spoofing, identity fraud, and account takeover. Some other … highly valued skills may include: Escalate identified risks which may result in unacceptable fraud controls and losses, utilising data visualisation. Supervisory and mentorship experience, delegating responsibilities within financial services. Experience working with an industry leading digital identity, device, and behavioural profiling technology. Partner closely with governance and control teams to ensure proper documentation, risk ratings and controls in place … for all rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as More ❯

assess, implement, and manage fraud detection tools and capabilities. Strong analytical skills with the ability to enrich, transform, and interpret large structured and unstructured datasets, including internal intelligence, external data sources, and fraud typologies. Solid understanding of cyber fraud attack vectors targeting the financial sector, including device and behavioural manipulation, location spoofing, identity fraud, and account takeover. Some other … highly valued skills may include: Escalate identified risks which may result in unacceptable fraud controls and losses, utilising data visualisation. Supervisory and mentorship experience, delegating responsibilities within financial services. Experience working with an industry leading digital identity, device, and behavioural profiling technology. Partner closely with governance and control teams to ensure proper documentation, risk ratings and controls in place … for all rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as More ❯

Our client, a nationwide Transportation company is looking for a Data Analyst to join their growing team! Do you thrive in a dynamic environment where your analytical skills can make a real difference? If so, we have the perfect opportunity for you! This company is looking for someone passionate about turning data into actionable insights. Role: Performance Data Analyst Contract Type: Interim Day rate: up to £400/day depending on experience Location: London OR Crawley (hybrid - 3 days per week in office) As a Data Analyst, you will provide meaningful insights, analysis, and reporting for stakeholders, driving performance improvement through enhanced reporting and key trend analysis. You'll support data projects and help develop … systems that leave a legacy of better data insights. Key Accountabilities: Conduct deep analysis of existing data sets to uncover areas for improvement. Perform statistical analysis on big data to identify trends. Create tools and platforms for data automation. Conduct diagnostic analysis to pinpoint routine performance losses. Enhance the internal reporting suite to improve data More ❯

Lead Data Scientist London Up to £95,000 + bonus + benefits Our Client We're helping a global ecommerce marketplace build out their Data & Analytics teams. With over 20,000 employees in 41 locations around the world, our client traverses a number of consumer industries. They are passionate about transforming the ecommerce sector by investing in and … their business; they aim to leave a positive impact on all stakeholders including employees, customers and partners, helping to build sustainable local communities on a global scale. The role Data Scientists are hands-on with building models that allow our client to hyper-personalise their customer experience. In addition this, at a leadership level, Data Scientists work as … internal consultants within the business, advising executive teams on all things concerning predictive analytics and machine learning. What a Lead Data Scientist role will involve A hybrid role which is both hands-on with building models and involves consulting throughout the wider business, serving as the Data Science SME for the core customer-facing platform. Collaborating with Customer More ❯

so will the role. As such you will require a proactive approach and a high level of multi-tasking and resilience. The role would require someone confident working with Big Data and analysing trends and making recommendations. Who has experience in using the forecasting modules within SAP in order to maximise the system. A confident individual with great … communication skills would also be ideally suited to this opportunity. Occasional weekend work will be required for this role. Your New Role Subject matter expertise Data analysis, data maintenance, data representation Ability to create business reports Ability to identify gaps in the new processes and define new ones as required Create PowerPoint presentations to illustrate processes Business … Readiness Data cleansing and readiness of existing systems Process definition and testing Creating training materials Planning and delivery of training to business users Project management Ensures deadlines are complied with in area of responsibility Provides updates to Deployment Lead Reporting of risks, issues and business readiness status Identification of cross domain risks Identifies and communicates project information necessary for More ❯

Chief Data Scientist London – Hybrid (3 days a week in Chelsea) Up to £120,000 + Benefits The Opportunity We are excited to be working with a long standing partner of ours on a new Chief Data Scientist position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll … lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great opportunity for someone looking to take a step up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design, code reviews, and architecture decisions. Promote ethical, responsible AI and ensure regulatory compliance (e.g. More ❯

Chief Data Scientist London – Hybrid (3 days a week in Chelsea) Up to £120,000 + Benefits The Opportunity We are excited to be working with a long standing partner of ours on a new Chief Data Scientist position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll … lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great opportunity for someone looking to take a step up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design, code reviews, and architecture decisions. Promote ethical, responsible AI and ensure regulatory compliance (e.g. More ❯

Experience in Cloud Data Pipelines Building cloud data pipelines involves using Azure native programming techniques such as PySpark or Scala and Databricks. These pipelines are essential for tasks like sourcing, enriching, and maintaining structured and unstructured data sets for analysis and reporting. They are also crucial for secondary tasks such as flow pipelines, streamlining AI model performance … based systems. Key Skills and Experiences Strong programming experience in Python Proven experience working on the MS Azure cloud platform and its native tech stack in designing and building data & AI solutions Experience with data modeling, ETL processes, and data warehousing Knowledge of big data tools and frameworks such as Spark, Hadoop, or Kafka More ❯

innovative business partnerships, our mission is to deliver seamless, efficient, and customer-first experiences at scale. Our Planning & Analytics team sits at the heart of this transformation. We harness data to unlock efficiencies, drive cost savings, and enable smarter decision-making across the supply chain. And now, we’re growing — fast. We are looking for problem-solvers, data … and strategic thinkers who want to shape the next era of logistics. What you’ll be doing As a Senior Analyst, you’ll play a pivotal role in using data to power decisions and outcomes across our logistics network: Driving efficiency and optimisation in supply chain and logistics through advanced analytics. Identifying trends, patterns, and opportunities for improvement using … data-driven insights. Working closely with data engineers to build and evolve a common data model for our business domain within the wider analytics landscape. Developing and implementing strategies across inventory, procurement, and distribution. Designing intuitive dashboards and reports to translate data into actionable insight for stakeholders. Partnering with cross-functional teams to turn analysis into More ❯

innovative business partnerships, our mission is to deliver seamless, efficient, and customer-first experiences at scale. Our Planning & Analytics team sits at the heart of this transformation. We harness data to unlock efficiencies, drive cost savings, and enable smarter decision-making across the supply chain. And now, we’re growing — fast. We are looking for problem-solvers, data … and strategic thinkers who want to shape the next era of logistics. What you’ll be doing As a Senior Analyst, you’ll play a pivotal role in using data to power decisions and outcomes across our logistics network: Driving efficiency and optimisation in supply chain and logistics through advanced analytics. Identifying trends, patterns, and opportunities for improvement using … data-driven insights. Working closely with data engineers to build and evolve a common data model for our business domain within the wider analytics landscape. Developing and implementing strategies across inventory, procurement, and distribution. Designing intuitive dashboards and reports to translate data into actionable insight for stakeholders. Partnering with cross-functional teams to turn analysis into More ❯