101 to 125 of 685 Data Science Jobs in England

with core Kubernetes concepts and principles Independently learns new technologies, quickly ramps up, investigates issues, and actively seeks solutions Partner closely with product managers, data scientists, product engineers, and business leads to define our roadmap Contributing to the growth of our development capabilities through leading, mentoring and supporting fellow … engineers Your experience: Bachelor's Degree in Computer Science or related technical discipline. 6+ years of technical engineering experience with coding languages including, but not limited to, GO, Python, etc Experience with OpenStreetMap and geocoding would be highly desirable. Enthusiasm, curiosity, energy, perseverance, and the desire to solve big more »

recruit a Sales Operations Analyst to join their team. As an EMEA Field Sales Operations Analyst, you will leverage your expertise in BI and Data Science to analyse sales data, drive operational efficiency, and provide actionable insights to support strategic decision-making. The ideal candidate will have … thinking and challenging the status quo on a daily basis will help you be successful in this role. If you are enthusiastic about leveraging data to make an impact and thrive in a fast-paced environment, we want to hear from you! Join this team and play a key … be able to accrue up to 33 days of holiday per annum, pro rata, inclusive of bank holidays. What You Will Do: Analyse sales data using BI and Data Science tools to provide insights into sales performance Develop and maintain dashboards, reports, and visualisations for stakeholders Collaborate more »

SQL is required to join leading e-commerce organisation within their Media and Entertainments business unit. As a BIE, you will own partnering with data engineering and software engineering teams to drive best-in-class business intelligence solutions at scale. You will work with structured and unstructured data sources to develop deep business insights and architect key business metrics. You will partner with scientists to build forward-looking data experimentation, predictive modeling, and machine learning algorithms. The role is cross functional and will require working closely with a wide variety of stakeholders including senior members across … engineering, product, business leadership, and economics/data science teams. Key job responsibilities • Drive the design, development, and maintenance of innovative and scalable intelligence solutions across the organization, with the highest standards of analytical rigor and data integrity. • Develop domain expertise and drive major contributions to our more »

in our development. Job Description We have a great opportunity for a highly motivated individual to join our team. We currently have an outstanding Data Science department, who produce significant results across the business. We are now seeking a Junior Data Scientist to become part of this … production deployment, working on various models across Pricing, Fraud and Claims. What you'll do: Collaborate with business partners to improve processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Collaborate with DevOps and Data Engineers to deploy ML models … in working autonomously to drive impact in a fast-paced cross-functional business. PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Ability to more »

Interim Chief Data Officer - AI/ML/C-Suite/VP experience - £1500 - £2500 per day Role: Interim Chief Data Officer Location: London - Onsite/Hybrid Rate: £1500 - £2000 per day with flex Experience Required: A blend of Data Engineering & Data Science experience required … for this Interim Chief Data Officer position with a focus around delivering BI, AI, ML projects at scale. Bonus points for a background/understanding of Gen AI or LLM background Role Profile: This Interim Chief Data Officer position is one that comes with a fair amount of … the details below aren't as detailed as we would like. There is a Private Equity element to the position and this Interim Chief Data Officer position will require you to support & advise a range of companies on their Data & AI journey. Ideally we will see individuals who more »

are pursuing a PhD degree are offered an opportunity to work on real-time Internship Projects in trending areas such as: Gen AI, Big Data, Analytics, Machine Learning, Cyber Security, Data Science, IT, and IoT. Apply now to know more more »

SENIOR DATA ENGINEER (Hertfordshire HQ – circa x1 day a week in office. Commutable from London.) Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also able to help with ML model deployment and MLOps. Responsibilities Design and implement Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps … across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial work as a Senior Data Engineer (responsible for taking decisions, rather than just writing code) An ability to write production quality Python code. Strong SQL Skills Experienced more »

Geospatial Data Visualization Engineer Hybrid (1 day onsite – Mayfair, London) Job Description: Your chance to join a company at the heart of geospatial intelligence. This role is focused on our energy and maritime products and presents an exciting opportunity for developers to collaborate in a cross-functional setting alongside … applications. Collaborate effectively within a team environment. Apply strong problem-solving skills with meticulous attention to detail. Required Skills: Experience with Deck.gl or other data visualization framework Proficiency in React, Node.js, TypeScript, Firebase, and Google Cloud Platform (including App Engine, Cloud Build, Cloud Run, and Firebase services). Solid … understanding of data structures. Minimum of 2-3 years of experience in a similar role. Demonstrated ability to solve complex problems and a keen eye for detail. Knowledge of Python is considered a plus. Qualifications: Must be a British Citizen Bachelor's degree in Computer Science, Software Engineering more »

workflows and integrate various systems and services within the organization. Design and manage databases using SQL Server, PostgreSQL, NoSQL, and Oracle to ensure efficient data storage, retrieval, and reporting. Develop and maintain applications within the Office 365 ecosystem, including SharePoint, to support digital collaboration and productivity. Use PowerShell and … sites, 80% being the Fortune 500. With Collabera Digital, you: Will get to work on numerous challenging and exciting projects, including Salesforce, AI/Data Science, Generative AI, Automation, Cloud Enterprise and Cyber Security. At Collabera Digital you have 80% chance of project extension or redeployment to other more »

Build forecasting and pricing models in investment management. You’re going to be coming in to help with the build out of a generative AI piece of software that allows the research team to assess which companies are suitable for more »

develop, test, and deploy prompts to elicit optimal responses from LLMs. Responsibilities: Develop, test, and deploy state-of-the-art language models. Collaborate with data engineers, ML engineers, and researchers to optimize language models' performance, scalability, and robustness. Design, develop, test, and deploy prompts to optimize LLMs functioning. Create … machine learning methodologies. Educate the organization on Generative AI from both IT and business perspectives. Qualifications: A higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics or related quantitative field. Hands-on experience with LLMs fine-tuning and/or training. more »

Join our team as a Power Platform Developer to create, manage, and optimize business solutions. Responsibilities: Design and develop custom applications, workflows, and data visualizations using Power Apps, Power Automate, Power BI, and Power Virtual Agents to meet specific business needs. Connect Power Platform solutions with other Microsoft services … e.g., Office 365, Dynamics 365, Azure) and third-party applications to ensure seamless data flow and interoperability. Provide ongoing support, troubleshoot issues, optimize performance, and ensure solutions remain up-to-date with the latest features and updates. Work closely with business stakeholders to gather requirements, understand business processes, and … sites, 80% being the Fortune 500. With Collabera Digital, you: Will get to work on numerous challenging and exciting projects, including Salesforce, AI/Data Science, Generative AI, Automation, Cloud Enterprise and Cyber Security. At Collabera Digital you have 80% chance of project extension or redeployment to other more »

the company are currently within their start-up phase you will have many opportunities to contribute to a range of projects, work closely with Data Scientists and even have the ability to be client facing! Requirements 3+ Years 50/50 Full Stack Experience Strong working knowledge with TypeScript more »

a Machine Learning Engineer to join an ambitious team. The objective of this company is to grow even more prominent in their industry through Data scientists/Engineering and Machine Learning Ops' best practices and you will be working on Recommendation Systems and Deploying complex ML Models. You will … also be tasked to lead a team of ML/Data professionals. The Role: As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Lead a Team of ML Engineers. You will … be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of highly skilled Data Engineers and Data Scientists. You will be able to have ownership and lead exciting projects. Regularly liaise and engage with stakeholders. YOUR SKILLS AND EXPERIENCE more »

for developing and maintaining solutions in the financial and energy sectors? Do you thrive on working with large, complex datasets, trading systems, and market data? Are you passionate about leading and mentoring a team of data engineers, while collaborating effectively with product managers, data scientists, and other … days Interview Process: One Stage Compensation: Up to £650 per day inside IR35 Tech Stack: (Must have) Proficient in Python and its data processing, analysis, and visualization libraries Experienced with SQL and Timeseries databases Skilled in AWS services: S3, EC2, RDS Knowledgeable in ETL tools like Airflow Proficient in more »

Please note that this role is based in Saudi Arabia on a permanent, residential basis. Data Scientist (GenAI Solutions) Data Scientist with experience in the implementation of Generative AI (GenAI) solutions, utilizing state-of-the-art frameworks such as LangChain, Flask API, and Retrieval-Augmented Generation (RAG) methods. … using frameworks such as LangChain and RAG methods. API Development: Develop and maintain Flask APIs to integrate GenAI solutions with existing systems and applications. Data Management: Handle data preprocessing, cleaning, and augmentation to ensure high-quality input for AI models. Model Training and Optimization: Train and fine-tune … advancements in GenAI, NLP, and machine learning to continuously improve and innovate our solutions. Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, and data analysts, HR SME’s to ensure seamless integration and deployment of AI solutions. Documentation and Reporting: Document methodologies, processes, and more »

Deploy the power of data science for the present and future of various energy markets, globally. This company work across various energy and commodities markets across the world. We appreciate that not everyone wants to work within Oil and Gas trading, however, becoming one of the key Data … be to look at more sustainable options for trading all kinds of commodities products. You’re going to be a key part of the Data Science team in London, with the current team being based in the USA. You’ll work closely with Heads of Trading Desks, Traders … and Researchers to understand all aspects of the data flows across the business and you’ll work closely with these stakeholders building various models and data products. There’s a range of projects to sink your teeth into upon arrival, where you’ll work on all parts of 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 … and healthcare. Head to our website homepage and watch the ‘Why Causal AI’ video to learn more. The Role We are looking for a Data Scientist based in London to join us in spreading our Causal AI technology to every business on the planet. This is a full-time more »

a Senior Pricing Analyst to join their London-based team on a full time basis. The ideal candidate will possess expertise in machine learning, data science, and actuarial principles, particularly in motor and insurance claims analysis . This role will play a crucial part in shaping the company … s strategic direction by providing data-driven insights and recommendations to refine insurance products. Key Responsibilities: Develop and implement pricing models using machine learning and statistical analysis. Conduct data analysis to identify trends, anomalies, and optimization opportunities. Integrate actuarial methods into pricing strategies in collaboration with the insurance … team. Provide data-driven recommendations to senior management for strategic decisions. Collaborate with product development, underwriting, risk management, and other teams to ensure cohesive product pricing and development. Qualifications: Bachelor’s or Master’s degree in Data Science, Statistics, Actuarial Science, Mathematics, or a related field. more »

learning models, behavioral analytics, blockchain solutions, and predictive analytics to address key fintech challenges. Collaborate and Innovate : Work closely with cross-functional teams, including data scientists, engineers, and product managers, to integrate AI solutions into our platform. Publish and Present : Share research findings through publications in top-tier conferences … and journals, and represent Finz at industry events. Mentor and Guide : Provide leadership and mentorship to junior AI researchers and data scientists. Key Qualifications: PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field. Extensive knowledge of machine learning algorithms, statistical methods more »

environment. The Role: As a Machine Learning Engineer, you will be instrumental in developing and implementing machine learning models that enhance the firm’s data analysis capabilities. Your work will involve collaborating with various teams to integrate advanced data-driven solutions that drive business insights and operational efficiencies. … for start-up environment is a huge plus. Key Responsibilities: Design, develop, and deploy machine learning models using Python and SQL. Manage and optimize data workflows and warehousing. Develop and maintain dashboards and visualizations using PowerBI or Tableau. Implement and maintain web applications using frameworks such as Django and … Flask. Utilize Azure for cloud-based machine learning and data storage solutions. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Stay updated with the latest advancements in machine learning and data science. Candidate Requirements: Bachelor’s degree in Data Science more »

Senior Data Engineer Location: London (2 days a week in office) Salary: £75k - £90k (DOE) About the Company: Our client, a leading technology-driven organization, is seeking a talented and experienced Senior Data Engineer to join their dynamic team. The company prides itself on fostering innovation and utilizing … cutting-edge technology to drive business success. This is a fantastic opportunity to work with a team of experts who are passionate about harnessing data to create impactful solutions. Key Responsibilities: • Design, develop, and maintain robust ETL (Extract, Transform, Load) processes to ensure efficient data flow and integration … across various systems. • Utilize Python for data manipulation, transformation, and automation tasks. • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality solutions. • Implement data pipelines and workflows to support real-time and batch data processing. • Optimize database performance more »

visuals, control loaders, motion). Maintenance of the terrain and graphics tracks library of the simulator. Integration of (v)ECUs in the simulator. Simulator data logging infrastructure. Contact for technical support for simulator operations. Skills, qualifications & experience: Required: Excellent degree in Engineering, Physics, Mathematics, Data Science or … perception models. Real-time systems and HIL simulators (e.g., DSpace) Understanding of numerical methods, optimisation, statistics and control theory. Simulator operations and systems (LiDAR data processing, graphics, projection hardware & software) Modelling experience of mechanical/hydraulic/thermal/electrical systems for dynamic simulations, and model correlation techniques. Modelling more »

Annalect is the data, technology, and analytics division of Omnicom. We help CMOs and their teams harness data, technology, and advanced analytics to grow their brands. We have built a variety of innovative product and specialist service solutions for clients and agency partners. We build and maintain the … Omni platform which gives agency and client teams access to these capabilities as well as the ability to integrate and combine their own data and technology with Omni. Omni has over 20,000 active users and is recognized in the industry as a leading marketing platform. We continuously innovate … the platform to ensure our clients stay ahead of their competitors in data driven marketing. Our team of Annalectuals is growing rapidly and are based in over 80 countries around the globe, supported by global and regional team hubs in NY, London, Singapore, Gurgaon, Bangalore, and Hyderabad. The EMEA more »

BettingJobs.com are currently recruiting US Sports Data Scientist based in London for a leading sports betting forecasting company. Responsibilities: Create statistical and machine learning models for different US Sports predictions Integrate your brand new models into production in our odds engine and maintain it Implement innovative algorithms to allow … our trading team to adjust the odds while keeping a consistent pricing Research new approaches to optimize the performance of all models and data science processes Build the tools you will need in order to achieve your goals Work in our strong and diverse Data Science team, in which you will take full ownership of your work Qualifications: PhD or Master in statistics, data science, computer science, mathematics or a related field Strong interest in modeling, probability and statistics (time series predictions, bayesian inference, machine learning among other hot topics) Experience forecasting more »