951 to 975 of 1,080 Data Science Jobs in the UK excluding London

Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. · Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. · Skilled in complete project delivery, from data preparation to model building, evaluation, and visualization. · Proficient in … Python programming and SQL, with experience in production-level code and data analysis libraries. · Familiar with ML Ops, model development workflows, and feature engineering techniques. · Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search. · Adept with software development methodologies, code … e.g., JIRA). · Enthusiastic about learning new technologies and adept at problem-solving and delivering production-ready solutions. · Additional knowledge in Cloud Computing, Big Data tools, visualization tools, and containerization tools is beneficial. · Excellent communication skills in English, with fluency in UNIX command line and familiarity with agile development More ❯

in cyber reinsurance. Key Responsibilities Develop and optimise NLP models for tasks like information retrieval, summarisation, and other domain-specific applications. Work closely with data scientists, engineers, and domain experts to understand business needs and deliver AI-driven solutions. Stay up to date with the latest NLP technologies, including … semantic search and generative AI, and apply them to improve existing models. Build and maintain scalable data pipelines for processing both structured and unstructured data efficiently. Evaluate and fine-tune machine learning models to ensure optimal performance. Ensure models and data pipelines adhere to best practices for … compliance. Document processes and methodologies to support knowledge sharing and transparency, reproducibility, and knowledge sharing across teams. What You Need A degree in Computer Science, Engineering, Statistics, or a related field (Master's or Ph.D. preferred but not essential). Strong understanding of machine learning algorithms and NLP techniques More ❯

management solutions, we are dedicated to ensuring regulatory adherence and safeguarding financial institutions against emerging risks. Our comprehensive end-to-end platform provides unmatched data control, security, and efficiency in digital communications governance and archiving, redefining how financial services and other highly regulated industries mitigate risk and uncover actionable … financial assets. What Will You Be Doing? As Shield’s Product Marketing Manager, you will serve as a crucial link between Marketing, Product, Sales, Data Science, and Customer Success teams. Your role will be to create compelling product positioning and messaging, impactful tools, and lead go-to-market More ❯

sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London and drive … Senior Python Engineer, you will be at the heart of our technology platform, building robust systems that enhance our trading strategies, risk management, and data analysis. You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. … of technology in financial markets. Key Responsibilities: Design, develop, and maintain highly efficient Python-based applications for commodities trading, risk management, and real-time data analysis. Build scalable, high-performance data pipelines to process large datasets from multiple sources, including real-time market data and fundamental data. More ❯

Senior Data Scientist - Python - SQL - Blockchain - Hybrid (London) - £75k-£95k (Equity Offered) Currently working with a client in the Crypto industry who is looking for a motivated senior data scientist to join their team and help prevent financial crimes and allow cryptocurrencies to be used for good. Responsibilities … Work in a highly collaborative environment with engineers, blockchain analysts, data scientists, researchers. Your shared goal is creating intelligence, you contribute in different ways. Be deeply opinionated about where we're spending our time, and how we can increase the value of our intelligence. Own your time and output. … powerful model? Participate in a collegiate group of blockchain experts, share your knowledge across our business wherever it is effective. Requirements: Is comfortable querying data with SQL and Python. Can optimise queries for huge datasets. Has a solid understanding of blockchain ecosystem elements like DeFi, Exchanges, Wallets, Smart Contracts More ❯

critical for driving innovation while enabling teams to focus on strategic business challenges. JOB ACCOUNTABILITIES To shape and manage future direction of easyJet’s Data Technology & Product architecture, with a primary focus on our enterprise-scope Data domains, by: Manages the technical aspects of machine learning operations, ensuring … and maintains CI/CD pipelines for continuous integration, deployment, and monitoring of machine learning models in production. Automates machine learning pipelines for efficient data flow and transformation, ensuring high data quality. This includes tools for data versioning, lineage tracking, and model reproducibility. Integrates machine learning models … into production by fostering collaboration between data scientists, engineers, and analysts to align technical solutions with business goals. Ensures model lifecycle management, covering training, deployment, monitoring, and retraining to adapt to new data. Optimises deployment pipelines for scalability and efficiency using cloud platforms, Docker, Kubernetes, and workflow orchestration tools. More ❯

critical for driving innovation while enabling teams to focus on strategic business challenges. JOB ACCOUNTABILITIES To shape and manage future direction of easyJet’s Data Technology & Product architecture, with a primary focus on our enterprise-scope Data domains, by: Manages the technical aspects of machine learning operations, ensuring … and maintains CI/CD pipelines for continuous integration, deployment, and monitoring of machine learning models in production. Automates machine learning pipelines for efficient data flow and transformation, ensuring high data quality. This includes tools for data versioning, lineage tracking, and model reproducibility. Integrates machine learning models … into production by fostering collaboration between data scientists, engineers, and analysts to align technical solutions with business goals. Ensures model lifecycle management, covering training, deployment, monitoring, and retraining to adapt to new data. Optimises deployment pipelines for scalability and efficiency using cloud platforms, Docker, Kubernetes, and workflow orchestration tools. More ❯

critical for driving innovation while enabling teams to focus on strategic business challenges. JOB ACCOUNTABILITIES To shape and manage future direction of easyJet’s Data Technology & Product architecture, with a primary focus on our enterprise-scope Data domains, by: Manages the technical aspects of machine learning operations, ensuring … and maintains CI/CD pipelines for continuous integration, deployment, and monitoring of machine learning models in production. Automates machine learning pipelines for efficient data flow and transformation, ensuring high data quality. This includes tools for data versioning, lineage tracking, and model reproducibility. Integrates machine learning models … into production by fostering collaboration between data scientists, engineers, and analysts to align technical solutions with business goals. Ensures model lifecycle management, covering training, deployment, monitoring, and retraining to adapt to new data. Optimises deployment pipelines for scalability and efficiency using cloud platforms, Docker, Kubernetes, and workflow orchestration tools. More ❯

critical for driving innovation while enabling teams to focus on strategic business challenges. JOB ACCOUNTABILITIES To shape and manage future direction of easyJet’s Data Technology & Product architecture, with a primary focus on our enterprise-scope Data domains, by: Manages the technical aspects of machine learning operations, ensuring … and maintains CI/CD pipelines for continuous integration, deployment, and monitoring of machine learning models in production. Automates machine learning pipelines for efficient data flow and transformation, ensuring high data quality. This includes tools for data versioning, lineage tracking, and model reproducibility. Integrates machine learning models … into production by fostering collaboration between data scientists, engineers, and analysts to align technical solutions with business goals. Ensures model lifecycle management, covering training, deployment, monitoring, and retraining to adapt to new data. Optimises deployment pipelines for scalability and efficiency using cloud platforms, Docker, Kubernetes, and workflow orchestration tools. More ❯

instrumental in shaping the future of our advertising products focused on digital commerce. You will leverage your extensive experience to lead market assessments, analyse data, and gather qualitative feedback to represent market needs internally to Product Management and Engineering teams. Your insights will directly influence the development of both … programs. Effectively communicate progress and insights to internal stakeholders through regular readouts. Build strong relationships and influence stakeholders across various teams, including Product, Engineering, Data Science, and Sales. Qualifications: Solid years of professional experience in product marketing within the technology or internet technology sectors, strategic marketing, product management More ❯

with over 1500 people around the world. We offer full-service marketing and brand experience solutions from advertising to media buying, content production to data science, customer mapping to platform design & build. Bernadette is a friendly and knowledgeable team of 80 specialists across Strategy & Data, UX, Design More ❯

Evaluation Scientist Salary: £34,500 - £44,850 Location: Cambridge, Hybrid Contract: Permanent, Full Time, 35 hours per week Are you passionate about AI and data science, as well as ensuring fairness, transparency, and accuracy in AI-enhanced assessment? Are you excited about expanding language learning opportunities and contributing More ❯

across segmentation, regression, loyalty and predictive analytics. You will get the chance to work on a new customer reward app, and work closely with data science teams and on projects in the space YOUR SKILLS AND EXPERIENCE SQL/bigQuery experience THE BENEFITS £35,000-£40,000 (dependent More ❯

Leader Strongly funded by top investors ($100M) Circa 300 employees based in New York, London, and multiple global offices Supported by a world class Data Science team Considerable reputation for internal training and development. 2 out of 3 of their SDRs become AEs or AMs within 2 years More ❯

of the most prestigious global organisations in finance and technology. Operating across major financial hubs, they focus on placing top talent in quantitative research, data science, and technology roles. With high-value placements and exclusive mandates, this is a unique opportunity to develop a career in a high More ❯

setting Experience with Salesforce or similar CRM systems (a plus!) 🌍 Why Join? Be part of a globally connected team with a strong reputation in data science and analytics A supportive environment where your ideas are valued and your contribution matters Clear room for development and the chance to More ❯

and provide technical leadership to other modelling staff as a leader in an urban drainage environment with an excellent client service focus. Experience in data science would also be beneficial, but is not essential. Most importantly, you'll embody our values and ethos of client focus and service More ❯

with a focus on delivering high-quality talent solutions. EVEN BETTER IF YOU HAVE: An in-depth understanding in a particular niche across Technology (Data Science/Engineering, Projects & Change, Software Development). An ambition to grow and develop your career into Senior Leadership positions in the future. More ❯

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. Our culture We're expanding fast across our offices in London, Leeds and Frankfurt. With all More ❯

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 role We work with a host of commercial finance brokers and business advisors across the More ❯

Associate Data Scientist Up to £120,000 London (Hybrid, 4 days onsite per week) Company: Join one of the world’s leading private equity firms, with a strong global presence and have partnered with hundreds of businesses across a wide range of sectors to support long-term growth and … making it a dynamic environment for ambitious professionals looking to make a real impact. Responsibilities: Support the investment and deal teams by delivering deep, data-driven insights into potential acquisition targets. Responsible for evaluating market dynamics, identifying growth opportunities, and building predictive models to assess financial and operational performance. … multi-million (and often billion)-pound deals. Collaborate with internal teams to deliver commercial and operational due diligence Be at the forefront of identifying data-led value creation strategies across the private equity lifecycle. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related More ❯

AI to other team members. Prepare detailed documentation for architecture, design, and implementation of AI solutions, ensuring knowledge transfer and future maintenance. Collaborate with data scientists, ML engineers, and other stakeholders to transition prototypes to production. Work closely with cross-functional teams to integrate AI solutions into products and More ❯

to-end UX research using mixed methods (quant + qual) Conduct usability testing for developer-facing tools (simulation and performance) Partner with PMs, engineers, data scientists, and designers to influence product decisions Create research roadmaps and translate findings into actionable recommendations Work with VR/XR teams focused on More ❯

and attend in-person meetings or events when needed. Key Responsibilities Manage end-to-end recruitment processes for technical roles (e.g. Software Engineers, DevOps, Data Scientists, etc.) Collaborate with hiring managers to define job requirements and ideal candidate profiles. Source candidates using various platforms including LinkedIn, job boards, and More ❯

product roadmap. Key Responsibilities 👥 Team Leadership & Collaboration Lead a high-performing team of frontend and backend engineers Collaborate with Product Managers, Designers, QAS, and Data Scientists Partner with the Product team to shape ideas into delivery plans and launch successful features Contribute to architectural decisions, coding, testing, and deployment More ❯