23 of 23 Remote/Hybrid Statistics Jobs in London

problems they may not have considered tackling. What you'll bring A degree, Master's or PhD in Data Science, Mathematics, Operational Research, Physics, Statistics or a related discipline. Strong hands-on experience with Python, SQL, Excel and data visualisation. A track record of designing, developing and delivering analytical models. ...

with trends and emerging technologies in AI and analyticsRequirementsBachelor's or Master's degree in a quantitative discipline such as Computer Science, Data Science, Statistics or MathematicsProven experience in technical consulting or client-facing data science roles with strong stakeholder engagement skillsProficiency in Python and SQL; familiarity with ...

clients in a consulting, advisory or product facing roleEducationA Bachelor or Master degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics or EngineeringorEquivalent experience that shows you can deliver resultsTechnical skillsCore skillsStrong Python and SQL, with clean, maintainable codeSolid understanding of ML fundamentals. For example feature ...

deployment and best practice Architect and deploy scalable solutions using modern cloud and MLOps practices What youll need A degree in Computer Science, Maths, Statistics, Physics, Engineering or a similar quantitative subject Experience leading people and delivery: supervising others, defining technical tasks and presenting to stakeholders Hands-on experience with ...

Contribute to architecture decisions, technical roadmaps and backlog definition while supporting delivery from prototype to production Requirements Bachelor's or Master's degree in Statistics, Mathematics, Econometrics, Computer Science or a related field 8+ years of experience delivering data engineering, machine learning or AI solutions in enterprise environments Strong ...

establish priorities and communicate analytical findings. An understanding of how analytical models move from initial concept into practical business use. A degree in Mathematics, Statistics or a related quantitative discipline is required. Insurance or Claims Analytics experience is likely to be preferred although candidates from other industries with strong applied ...

with data science. Transform data and build models to optimise customer experience, profit revenue generation, cost reduction and other business outcomes. Be passionate about statistics and machine learning, and AI. Be able to convey a thorough understanding of the benefits and use cases of these across the business ...

ecosystem. Code Craftsmanship: Advanced Python (modular OOP, Pydantic, design patterns) and strong SQL capabilities. Education: Degree or advanced degree (BSc/MSc) in Mathematics, Statistics, Computer Science, Engineering, Econometrics, or related quantitative discipline. xehkeey £500.00 - £600.00/day Talent International UK and it's subsidiaries, Digital Gurus, Infinite Talent ...

/Edge AI/TensorFlow/scikit-learn/Linux/Git/Machine Learning/Artificial Intelligence/Computer Science/Mathematics/Statistics RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role isnt of interest, please visit our website ...

/CD would be useful. A relevant graduate or postgraduate qualification, or equivalent experience in a discipline such as engineering, mathematics, physics or statistics, is also welcomed. Key responsibilities:Data science lifecycle Apply data science product lifecycle principles across new projects, from design and exploratory data analysis through to model ...

performant, and reliable queries to transform large complex datasets)You have experience building and owning automated data pipelines with tools like DBT/AirflowExperimentation & Statistics: Experience running A/B tests and analysing the results to drive product decisions Ownership: You enjoy working independently in a fast-paced environment: Identifying ...

reliable queries to transform large complex datasets) You have experience building and owning automated data pipelines with tools like DBT/Airflow Experimentation & Statistics: Experience running A/B tests and analysing the results to drive product decisions Ownership: You enjoy working independently in a fast-paced environment: Identifying impactful ...

designation depending on business needs and as permitted by local law. What you bringBasicBachelor's or advanced degree in Computer Science, Mathematics, Computer Engineering, Statistics, Operations Research, etc.or equivalent practical experience12+ years of experience in software engineering, deployment-focused engineering, or customer-facing technical delivery roles, in an established technology ...

platform (SimcorpOne), helping improve functionality and implementation approach What we value: Essential: Degree in a quantitative or technical field such as Mathematics, Statistics, Physics, Finance, Computer Science, Engineering, Econometrics, or related discipline 5+ years of experience delivering SaaS solutionsSolid technical foundation with practical programming experience in Python, Java, or C#Demonstrated ...

based .NET/C# technologies and tools. • Experience with object-oriented design and implementation, design patterns, SOLID principles. • High numeracy skills, passion for maths, statistics and complex algorithms. • Line management experience. • General knowledge of the Insurance Industry. • Degree-educated with Computer Science, Engineering, Mathematics or relevant discipline. What we offer ...

flows. Proficiency in risk management. Experience in continuous improvement initiatives to enhance the user experience. Working in high-pressured projects to tight timescales. Producing statistics and reports through PowerBI, ServiceNow and MS Products, as required. Maintaining appropriate, accurate and robust templates, processes and documentation. Experience of using ServiceNow ...

configuration and operational documentation. Support audit and quality assurance activities. Qualifications Essential Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Technology, Mathematics, Statistics, Engineering, or a related discipline. 2+ years of experience in the implementation and deployment of digital tools supporting one of the following domains: Model ...

owning infrastructure, ML/data platform, or runtime-adjacent products, not just user-facing featuresBachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Statistics, or a related field involving AI/ML or distributed systems, or equivalent industry experienceStrong working knowledge of how inference and model-serving infrastructure actually ...

limitations Azure DevOps and Git Experience of unit and GUI test automation frameworks such as MS Test Azure and Cloud Technologies Passion for maths, statistics and complex algorithms General knowledge of the Insurance Industry Degree-educated with Computer Science, Engineering, Mathematics or relevant discipline Other highly desirable, but not essential ...

change - you can do valuable work today while the operating model around you is still forming. • Passion for complex problem solving, as well as statistics and algorithm development • Paint drip-shaped: you have multiple deep areas of expertise and demonstrate ability to use various approaches and adapt as roles blur. ...

/OS performance and scalability Deep practical experience investigating: table and index growth; index design and access-path performance; RUNSTATS, REORG and statistics strategy; access-path regression; buffer-pool performance; GETPAGEs and I/O; locking, timeouts and deadlocks; high-cost SQL and packages; data archival/life cycle strategies ...

contribute to reports, publications and presentations Person Specification Essential A PhD or equivalent experience in a quantitative field, such as computer science, machine learning, statistics, physics, computational neuroscience or quantitative psychology, and a track record of high-quality, well-tested and reproducible technical work you have delivered yourself. Strong Python … learning and NLP, including large language models, to real-world free text, and turning the results into clear, practical findings. A strong grounding in statistics and research design, and experience designing and running evaluations of AI models or systems, including validation against human judgement. Sound judgement about when ...

expertise with LLMs, Generative AI, Prompt Engineering, RAG, and Agentic Systems. Strong Python programming skills and experience with modern AI frameworks. Excellent understanding of statistics, machine learning methodologies, and model evaluation. Experience delivering AI solutions from proof-of-concept through to production. Exposure to Databricks, MLflow, Spark, or similar cloud … systems and orchestration frameworks. Background within insurance, financial services, or other highly regulated environments. MSc, PhD, or equivalent qualification in Computer Science, Mathematics, Statistics, or a related discipline. Package & Benefits Salary of £95,000 - £120,000 Performance-related bonus Comprehensive benefits package Pension scheme Private medical cover Generous annual leave ...