126 to 150 of 307 Statistics Jobs in the UK

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 ❯

work with complex datasets and translate business logic into analytics. Excellent communication skills – you can clearly explain data to both technical and non-technical audiences. Proven ability to apply statistics, exploratory data analysis, and predictive modelling. Experience with ERP systems or large-scale data migrations is a plus but not essential. Background in e-commerce or service operations would be More ❯

Tableau, Looker, PowerBI). Team contribution: Mentors others, shares knowledge, and strengthens analytics delivery through collaboration. Education & Experience: You have a degree in a quantitative field such as Geography, Statistics, Engineering, or Economics, and 4–6 years of experience in analytics—preferably with exposure to property, space, or store planning. Benefits Wellbeing & Lifestyle Benefits Health Cash Plan Life Assurance Incentive More ❯

environment Willingness to work with a geographically distributed team structure in an extremely fast-paced and challenging environment. Graduate degree in Computer Science, Mathematics, Operational Research, Information Science, Engineering, Statistics is preferred. Hands-on experience in analytics delivery with exposure to either Visualization tools, Advanced Analytics or cloud data tech will be an added advantage. Self-driven individuals with an More ❯

business impact. Demonstrated ability to balance long-term strategic goals with immediate client needs, driving both growth and operational excellence. Deep expertise in data science methodologies, including machine learning, statistics, modeling, predictive analytics, multivariate analysis and data visualisation. A strong proficiency in Python, R, or similar languages, along with experience in cloud-based data platforms like GCP, Azure, or AWS. More ❯

on performance measurement, reporting automation, and dashboard development. Experience in operations, e-commerce, or service-oriented environments preferred. Education: Bachelor's Degree in an analytical field (math, economics, engineering, statistics, etc.), preferred Masters Degree is a plus Tools: You will have knowledge of key industry tools, SQL, Tableau and Excel. Specifically for this role that would include: Advanced SQL: You More ❯

hour Location: Remote Role Responsibilities Review and verify AI-generated mathematical content, ensuring accuracy, clarity, and consistency. Conduct in-depth checks across core mathematics areas (e.g., algebra, calculus, probability, statistics, geometry, discrete mathematics, and applied mathematics). Provide detailed feedback and corrections to refine model outputs. Collaborate with internal teams to evaluate the quality of AI outputs and recommend improvements. More ❯

data science techniques to define, address, communicate and improve forecasting of key measures to inform and drive strategic decisions. What you will bring to the role: Your knowledge of statistics, BI infrastructure and analytical methods combined with strong management and communication skills will influence how we create, evolve and embed a data strategy across the organisation You will lead in More ❯

data science techniques to define, address, communicate and improve forecasting of key measures to inform and drive strategic decisions. What you will bring to the role: Your knowledge of statistics, BI infrastructure and analytical methods combined with strong management and communication skills will influence how we create, evolve and embed a data strategy across the organisation You will lead in More ❯

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

NLP/LLM projects into production. Solid understanding of model deployment, pipelines, and software development fundamentals. Expertise in Deep Learning, including training, evaluation, and optimisation. Strong grounding in mathematics, statistics, and data analysis. Experience working in Agile environments. Familiarity with technologies such as AWS, GCP, Kubernetes, Ray Serve, and Kubeflow is desirable. ---------------------------------------- Professional Values Growth: Demonstrates curiosity, adaptability, and continuous More ❯

for some of these model types would be an advantage. 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: Good communication and More ❯

for some of these model types would be an advantage. 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: Good communication and More ❯