826 to 850 of 2,280 Data Science Jobs in England

staff development is a priority, and a diverse, supportive, and collaborative environment is fostered. They are at the forefront of technology , using cutting-edge data solutions to enhance their services and improve customer experience. The Role As the Data Warehouse & Analytics Engineering Manager , you will lead a talented … team of six data professionals, including Data Warehouse Developers, Analytics Engineers, and Data Modellers. This role is pivotal in driving collaboration across the organisation, acting as the bridge between data teams and the wider business, including the Data Science function. You will oversee the … Analytics Engineering function , including the Power BI reporting layer and Medallion architecture , ensuring best practices and high-quality data solutions. Key Responsibilities Lead and mentor a team of six data professionals, fostering technical excellence and growth. Act as the link between data teams and stakeholders, translating technical More ❯

We partner with pharmaceutical, biotechnology and medical device organizations to provide the expertise and processes to manage and deliver on time, quality biostatistics, programming, data management and data science services. With offices across the UK, US, Germany, Denmark, Kenya, Australia, India, China and Japan, Phastar is the … second largest specialized biometrics provider globally, and the largest in the UK. Our unique approach to data analysis, "The Phastar Discipline", has led us to build a reputation for outstanding quality. With this as our core focus, we're looking for talented individuals who share our passion for quality … Create, review and update processes and SOPs Take responsibility for study compliance with SOPs and processes Qualifications Educated to BSc or above within Computer Science, Mathematics or a Science related discipline SAS Programming Experience within the pharmaceutical industry Good awareness of clinical trial issues, design, and implementation Experience More ❯

who bring deep domain knowledge to help our clients drive business change and address the most pressing compliance, regulatory, and operational challenges. We provide data-driven, technology-enabled advisory and consulting, implementation, staffing and managed services solutions to the regulatory compliance, risk, financial crimes, and capital markets functions of … include: Design and implement Databricks-based solutions for managing, processing, and analyzing large datasets within the financial services sector. Collaborate with cross-functional teams (data scientists, analysts, business stakeholders) to develop and optimize data pipelines, workflows, and data models. Guide and support the migration of legacy systems … to Databricks, ensuring seamless transitions from legacy to cloud-based environments. Ensure data integrity, security, and compliance with financial industry regulations. Build and optimize ETL processes using Databricks, Spark, and other data processing tools. Implement data governance best practices within the Databricks environment, including data quality More ❯

Senior Data Engineer/Scientist | Up to £130,000 | Remote (UK) 167 Solutions Ltd is hiring on behalf of a leading organisation seeking a Senior Data Engineer to join their engineering team. This role is ideal for an experienced data engineer who thrives in a dynamic environment … and is eager to design, develop, and maintain high-performance data platforms. Role Overview As a Senior Data Engineer , you will play a key role in architecting and optimising data processing pipelines, supporting predictive analytics, and enabling machine learning initiatives. You will collaborate closely with data scientists, analysts, and engineers to develop scalable solutions that enhance data accessibility and efficiency across the organisation. Key Responsibilities Design, build, and maintain data pipelines using SQL, Python, and Spark . Develop and manage data warehouse and lakehouse solutions for analytics, reporting, and machine learning. Implement More ❯

on experience, taking on meaningful responsibility, and making a tangible impact. This role is ideal for an analytical thinker with a passion for driving data optimisation and solving complex problems. Key Responsibilities Data Collection & Validation: Extract data from various systems, verify its accuracy, and apply transformations to … make it usable and reliable for our systems. Pipeline Monitoring: Check that our data ingestion pipelines are running correctly and flag any issues, helping maintain the integrity of our data operations. Quality Assurance: Check for anomalies or validate formats to ensure our data remains trustworthy and actionable. … New Data Source Onboarding Support: Assist in testing and validating incoming data from new partners, ensuring robust integrations from the start. Dashboard Discovery: Learn how dashboards are built and maintained, understanding the logic behind the numbers and their role in supporting business decisions. Process Improvement: Help identify and More ❯

few years, we've scaled the global Customer Experience Centre (a hybrid startup-consultancy) in one of the world's most powerful brands. The Data & Analytics & Reporting team drives value generated by millions of customer interactions across 110 countries. The team helps global markets to imagine, deliver and run … Lead on the build of personalisation and recommendation models that enhance customer experience (CX). Help design a reliable, secure, scalable platform that allows Data Scientists to bring machine learning models to production. Drive the optimisation of performance analyses, landing page testing and funnel optimisation. Act as a bridge … goal. Advise and educate global markets on experimentation and personalisation best practices. Design experiments to quantify performance of models and product. Work with big data, using data science techniques and alongside engineers to define data pipeline needs. We would like you to have Experience with Personalisation More ❯

will be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. You will be detail-oriented and organized, capable of handling multiple projects at once, and capable of dealing with ambiguity and rapidly … and enables to implement solutions for customer, cost savings in process workflow, systems configuration and performance metrics. Basic Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field Proficiency in automation using Python Excellent oral and written communication skills Experience with SQL, ETL processes, or data … a Business Intelligence Engineer in the team, you will collaborate closely with business partners, architect, design, implement, and BI projects & Automations to build scalable data solutions and analytical insight. You will work with a team of highly motivated business intelligence engineers, Business Analysts and: Contribute to the design, implementation More ❯

AI-driven solutions. If you want to future proof your tech career, this is the move! Need some convincing? ✅ Azure Expert MSP, Azure and Data +AI Solutions Partner with 15 Advanced Specialisations ✅ 21% YoY recurring revenue growth ✅ Top 10 "Best Tech companies to work for" in the UK ✅ Chief … AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and pre-processing to prepare datasets for AI model training. Implement AI models into production environments and optimize their performance. Monitor and evaluate … Deliver training and support to clients on AI tools, best practices, and deployment strategies. Stay up to date with the latest advancements in AI, data science, and cloud technologies. Skills & Experience Required ✅ Proven experience in AI and machine learning, with a strong portfolio of successful projects. ✅ Proficiency in More ❯

About Billigence: Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organizations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through to … Cloud Data Warehousing, Visualisation, Data Science, and Engineering or Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture. About the role: We are currently seeking highly motivated and … skilled Data Consultants to join our growing Data Engineering and Advanced Analytics team. As a Data Consultant, you will work closely with senior team members to build BI solutions and design, build, and maintain scalable data pipelines that will enable our clients to extract value from More ❯

we be known as 'Associate Director, Integrated Planning & Strategy' This position sits in our Growth Marketing service based in London or Manchester. We combine data, technology, creative content, and paid media to crack brands' business problems & drive revenue through a variety of digital marketing solutions like ad campaigns, augmented … don't mind being able to partner with smaller brands. You'll work closely in tandem with Client teams, business development, client partner, creative, data science & analytics, data & tech, and channel activation teams to retain clients and win new ones. You will join us as a key … for critical thinking, problem solving, and a deep understanding of how businesses, brands and customers interact, with an equal understanding of the role that data and technology play in this relationship. Planning Experience leading full-funnel, connected media and data driven strategies. Develop communication plans that connect Consumer More ❯

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology … with engagement managers to scope a variety of professional services work with input from the customer. Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications. Consult on architecture … to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices. Comfortable writing More ❯

Digital Data Manager/Web analytics Manager Location - London/Hybrid (2days office per week) Salary £60k + £7.5K Car Allowance plus Excellent Bens Skills - Digital Data Manager, Consumer Insights, Web analytics Manger, Google analytics (GA), data visualisation, User Experience, User Journey, data visualisation(Tableau, PowerBI … Are you ready to shape the future of digital ecosystems? Our client is searching for a talented Digital Consumer Data Manager to join their Digital/eCom Team and make an impact by driving data integrity and innovation across an omnichannel consumer journey. If you're passionate about … be comfortable in this arena What Youll Do Step into this exciting position where you'll: Shape the digital ecosystem strategy Act as a data steward, tailoring global data models to local needs while optimizing infrastructure. Be the bridge between business and tech, delivering impactful digital solutions. Offer More ❯

Data Scientist - Customer Lifetime Value Hybrid in London/Remote within the UK We're looking for a Data Scientist Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data Scientist in … businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The team Customer Lifetime Value (CLtV) represents the value each customer brings to iwoca. This concept … group of people who manage the CLtV model from the R&D stage all the way to deploying model releases into production. We manage data pipelines that enable the business to use our predictions in their day-to-day decision-making. Our dynamic and autonomous environment emphasises on 'getting More ❯

At Kortical we are on a mission to enable any company to be an AI company by providing world class tooling to enable data scientists to deliver superhuman ML solutions much quicker than than current offerings allow, all fully transparent and editable in code. Remote working: Flexible remote (up … w) At Kortical we are on a mission to enable any company to be an AI company by providing world class tooling to enable data scientists to deliver superhuman ML solutions much quicker than than current offerings allow, all fully transparent and editable in code. The role has two … elements to it: As not every company or department have in-house data scientists, for some clients we build awesome ML solutions for our clients like Deloitte Tax, NHS and Santander using the Kortical platform. By working with our clients building these awesome ML solutions, we find areas that More ❯

clients during our 30 years of history. Artificial Intelligence is our reality. General Description: We are looking for scientists who are passionate about data and eager to tackle big challenges using Data Science and Machine Learning. The main focus of this role is to solve complex business … problems in Fortune 500 companies. The candidate will work with structured and unstructured data, employing scientific methods and state-of-the-art techniques to help our clients achieve their business objectives. Responsibilities: Understand complex business problems and translate them into structured data problems. Explore and analyze complex data sets (structured and unstructured). Prototype models of varying complexity (business analysis, statistical models, machine learning) using modern data science tools (Notebooks, Cloud platforms). Design and implement machine learning models, develop metrics, and apply feature engineering techniques tailored to customer problems. Support pre-sales efforts and More ❯

a high-impact role requiring deep technical knowledge, strong product leadership, and a proven track record of delivering AI/ML solutions in complex, data-rich environments. You'll work closely with other product teams and cross-functional partners, to conceptualize and deliver AI capabilities that transform how product … products. Experience with natural language processing (NLP) techniques, large language models, or other AI methods for text-based and structured data. Strong understanding of data pipelines, data modeling, and MLOps. Experience in working on complex collaborative products that are architected as modular and extensible platforms or at least … company-wide impact. Experience in mentoring and coaching junior colleagues, as well as leading across the company through indirect influence. Educational background in computer science, data science, or related practice. What's in it for you? Be part of building the world's first and best Product More ❯

and beyond to make them feel seen and heard in everything we do. About the Role We're looking for a Lead Risk Pricing Data Scientist who will lead the development of our credit risk and pricing systems. This is a unique opportunity to shape a new system from … the ground up, unencumbered by legacy systems or constraints. The Lead Risk Pricing Data Scientist will be a hands-on builder and help us develop a team over time. They will be part of a small team of engineers and product people, working independently from the wider business. This … country migrants. Developing and owning robust risk monitoring and reporting processes to ensure we stay within appetite as we scale. Being a champion of data and solidifying data-driven processes within the team. Building a team of analysts and data scientists as we scale, and setting a More ❯

customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps … and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never … endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS 2+ years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS More ❯

deliver applications working with other staff and partners. Collaborate with cross-functional teams to design, develop, and implement scalable and reliable cloud applications. Utilize data science and analytics to enhance application functionality and performance. Work with the data team to create and deploy machine learning models and … with colleagues within and beyond Technology to ensure that a consistent, high-quality service is delivered. Requirements: Ideally a bachelor's degree in Computer Science, Analytics, Engineering, or a related field. Minimum of 3+ years of experience in coding with Python and React.js. Knowledge of databases (SQL & NoSQL) and … with enterprise architecture design and delivery (Azure, GitHub, etc). Proven experience in building cloud applications using Microsoft Azure/cloud. Strong interest in data science and analytics. Excellent problem-solving skills and attention to detail. Knowledge of effective business analysis - ability to gather, document, and analyze business More ❯

deliver applications working with other staff and partners. Collaborate with cross-functional teams to design, develop, and implement scalable and reliable cloud applications. Utilize data science and analytics to enhance application functionality and performance. Work with the data team to create and deploy machine learning models and … with colleagues within and beyond Technology to ensure that a consistent, high-quality service is delivered. Requirements: Ideally a bachelor's degree in Computer Science, Analytics, Engineering, or a related field. Minimum of 3+ years of experience in coding with Python and React.js. Knowledge of databases (SQL & NoSQL) and … with enterprise architecture design and delivery (Azure, GitHub, etc). Proven experience in building cloud applications using Microsoft Azure/cloud. Strong interest in data science and analytics. Excellent problem-solving skills and attention to detail. Knowledge of effective business analysis - ability to gather, document, and analyze business More ❯

will power the training of the world's most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. The AI Data team at Microsoft AI is responsible for all aspects of data preparation to support our model pre-training operations, including collecting data from the source, extracting and transforming the most useful data, and understanding the impact of changes to data by training and evaluating new models. We are an interdisciplinary team of engineers and scientists, learning from each other, and collaborating to create the best models and products. We … the next generation of systems that will transform the field. In particular, we are looking for candidates who: Are passionate about the role of data in large-scale AI model training Will thrive in a highly collaborative, fast-paced environment Have a high degree of craftsmanship and pay close More ❯

About The Role As the Head of Analytics, you will be responsible for overseeing GSF's data analytics and management information strategy, ensuring that data insights fuel our trading and commercial growth. Reporting to the Head of FP&A and working directly with the senior leadership team, you … will work cross-functionally with different departments to support data-driven decisions. As part of this, you will manage a small team of data analysts. The analysis produced by your team will help optimize pricing and margins, product selection, operational efficiency, and market insights to drive commercial performance. … About You Key Responsibilities Strategic Analytics Leadership : Define and lead the data analytics strategy to support the business' commercial functions, aligning analytics initiatives and reporting structure with overall business goals and market conditions. Growth and Margin Optimization : Oversee the development of channel, pricing and margin analysis and reporting, using More ❯

Data Modeler A SME Insurer are looking for a Data Modeler to build out data models to facilitate reporting, generating insights and data science applications. The role would be working close with Bas and Data Engineers and translate business requirements into effective data models and mapping documents. Essential skills for the Data Modeler: Strong experience as a Data Modeler/Architect London Market Insurance industry experience Using Data Modelling such as Erwin Experience with modelling methodologies including Kimball etc Usage of Data Lake formats such as Parquet and More ❯

Data Modeler A SME Insurer are looking for a Data Modeler to build out data models to facilitate reporting, generating insights and data science applications. The role would be working close with Bas and Data Engineers and translate business requirements into effective data models and mapping documents. Essential skills for the Data Modeler: Strong experience as a Data Modeler/Architect London Market Insurance industry experience Using Data Modelling such as Erwin Experience with modelling methodologies including Kimball etc Usage of Data Lake formats such as Parquet and More ❯

Senior Data Analytics Consultant - Public Sector and Defence Are you passionate about harnessing data to drive strategic decision-making? Join a leading technology consultancy delivering tailored solutions to high-profile clients in National Security, Defence, and the UK Civil Service. As part of a fast-growing team of … 200+ consultants, you will play a crucial role in helping organisations optimise their data for impactful results. With access to cutting-edge projects and a collaborative, innovation-driven culture, this role offers a unique opportunity to influence the way complex organisations govern, manage, and leverage data for maximum … on client sites, with an office always open for you in Guildford. Most clients are located in and around London. Responsibilities Design and implement data analytics solutions tailored to public sector needs. Develop and optimise data models using SQL, Python, and R. Build interactive dashboards and data More ❯