101 to 125 of 300 Statistics Jobs in England

annotation challenges. Stay updated with industry trends in data annotation, finance, and news. Participate actively in project and product coordination when needed. Qualifications: Bachelor's degree or higher in Statistics, Data Analytics, Data Science, or related STEM fields. At least four years of experience in data management concepts like data quality, sampling, and modeling. Experience with data visualization tools like More ❯

Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write More ❯

and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Preferred Qualifications, Capabilities, and Skills Strong background in Mathematics and Statistics and familiarity with 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 More ❯

technical stakeholders with clarity and impact. Support go to market efforts with technical insights and customer facing engagements. SKILLS Advanced degree (PhD or MSc) in Computer Science, Data Science, Statistics, or related field. Experience with AI governance, model explainability, and regulatory compliance. Familiarity with composable banking platforms and financial services data. Experience working in agile, cross functional teams in a More ❯

as needed. Actively research and identify the latest relevant methods and technologies in the field. What We're Looking For: Basic Required Qualifications: A degree in Computer Science, Mathematics, Statistics, Engineering or a related field. A solid understanding of Machine Learning and Deep Learning methods, along with their mathematical foundations. At least 5 years of professional experience in advanced analytics More ❯

consume data from more sources to provide more holistic observability for our development teams. BASIC QUALIFICATIONS Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for More ❯

a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you Degree in Statistics, Maths, Physics, Economics or similar field 5+ years of experience required Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Stakeholder More ❯

working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field Knowledge of Python or R or other scripting language Experience in building quantitative solutions as a scientist or science manager Experience directly managing scientists More ❯

additional languages. Education: Possess a BSc, MSc, or equivalent degree in one of the following disciplines or related fields: Earth/climate sciences (geology, geophysics, seismology, meteorology, etc.) Mathematics, statistics, physics, engineering, data science Risk management/insurance, actuarial science Responsibilities Moody's is seeking a dynamic and innovative Associate Director to join our Insurance Solutions operating unit as an More ❯

AI engineering and Machine Learning Excellent software engineering skills with a strong knowledge of Python A keen interest and understanding of financial markets and instruments Relevant mathematical knowledge e.g. statistics, optimisation algorithms, linear algebra. Advantageous Experience using GenAI to build agentic, knowledge processing, or automated coding tools Experience training or fine-tuning generative models Experience building tools and technologies within More ❯

architectures. You must have deep technical experience across the AI spectrum - from traditional ML and deep learning to Generative AI and Agentic AI - backed by a strong mathematics and statistics foundation. This includes hands-on experience with large language models (LLMs), foundation models, and autonomous agent frameworks, alongside expertise in implementing RAG systems, designing prompt engineering frameworks, and developing multi More ❯

management, and storytelling-raising the bar for analytics maturity across the team. What You'll Bring: Essential Requirements: Bachelor's degree, preferably in an analytical field (mathematics, economics, engineering, statistics, or related) Minimum 5 years' hands-on experience in an analytics role, with a proven track record of delivering measurable impact in a data-driven customer service or operations environment More ❯

the Analytics team and help answer the most difficult business challenges. Key requirements Experience in the London or Lloyd's insurance markets is essential Have an Advanced degree in Statistics, Computer Science, Mathematics or a related field or relevant industry industry experience Have knowledge of programming and data manipulation skills such as SQL and Python, and version control (Github) is More ❯

outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters or PhD is preferred but not required Note: Payment is made via PayPal. We will never ask for More ❯

years of hands-on experience as a Machine Learning Engineer or similar role. Proven track record of designing and deploying machine learning models in production environments. Solid understanding of statistics, data mining, and algorithm design. Experience in collaborating within agile teams to deliver project objectives and meet deadlines. Excellent analytical skills, with the ability to troubleshoot and optimize complex machine More ❯

complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic More ❯

GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self-motivated with More ❯

GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self-motivated with More ❯

high-quality service and building trust Ability to manage multiple projects and priorities effectively in a fast-paced environment Education Qualification in a relevant field (e.g. Web Development, Marketing, Statistics, Business, Mathematics, Computer Science) would be preferable to have but not necessary More ❯

data science community Are we the perfect match? You have 7+ years of experience as a hands-on Data Scientist You hold a degree in a quantitative field (e.g. Statistics, Mathematics, Physics, Machine Learning) You're confident in Python (production-level) and SQL, and at home with modern ML libraries such as Pandas, scikit-learn, and TensorFlow You have practical More ❯

curiosity, and innovation across the data science community You have 7+ years of experience as a hands-on Data Scientist You hold a degree in a quantitative field (e.g. Statistics, Mathematics, Physics, Machine Learning) You're confident in Python (production-level) and SQL, and at home with modern ML libraries such as Pandas, scikit-learn, and TensorFlow You have practical More ❯

decision-making Experience with customer lifecycle analytics, and Annual Recurring Revenue (ARR) related KPIs Comfortable building reports and dashboards in Salesforce Bachelor's degree in Finance, Marketing, Business, Economics, Statistics, Data Science, or a related field Core values required of all Simpro , AroFlo, BigChange & ClockShark employees: We Are One Team We Are Customer Centric We Are Growth Minded We Are More ❯

principle. Excellent communication skills—able to simplify complex analysis for any audience. Proven expertise in SQL, plus experience with Excel, Power BI or Tableau. Degree-level education in maths, statistics, economics, or similar. Experience with board reporting and senior stakeholder engagement. Experience within enforcement, compliance or other regulated services. (Desirable) Knowledge of case management systems, operational metrics, or tools like More ❯

in Metabase that support operational planning. Collaborative mindset: Works well across Commercial, Supply, and Pricing functions. Education & Experience: You have a degree in a quantitative field such as Mathematics, Statistics, Economics, or Engineering, and 2–3 years of experience in analytics—preferably with exposure to commercial operations, pricing, or inventory analytics. Benefits Technology Incentive Scheme - we offer different bonus schemes More ❯

PowerBI). Team contribution: Mentors others, shares knowledge, and strengthens team delivery through feedback and collaboration. Education & Experience: You have a degree in a quantitative field such as Mathematics, Statistics, Economics, or Engineering, and 4–6 years of experience in analytics—preferably with exposure to commercial, retail, or trading environments. Benefits Wellbeing & Lifestyle Benefits Health Cash Plan Life Assurance Incentive More ❯