1 to 25 of 118 Statistics Jobs in the UK

Significant professional experience in data architecture, data engineering, or data management disciplines Desirable Bachelor's or Master's degree in Computer Science, Data Management, Statistics, Applied Mathematics, or related field Job Dimensions Supports leadership of teams of 6 10 (no direct line management) Budget responsibility: indirect influence up to 100m ...

exposure to data science beyond modelling — including productionisation, compliance, and engineering collaboration. Essential Requirements Degree in a quantitative discipline (Data Science, Computer Science, Maths, Statistics, Physics, Engineering) or equivalent experience Early career stage (graduate, placement, bootcamp, or personal projects) Strong Python skills (pandas, scikit-learn) Solid SQL skills (joins, aggregations ...

data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning ...

integration of AI solutions.* Experience working across multiple operating systems (Linux, Windows, iOS, Android).* PhD or equivalent experience in Data Science, Computer Science, Statistics or a related field Please send me a copy of your CV if you're interested ...

solution integration. Operating Systems : Experience working across Linux, Windows, iOS, and Android environments. Advanced Education : PhD or equivalent experience in Data Science, Computer Science, Statistics, or a related field is a plus. To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth ...

improve claims outcomes and efficiency Stay abreast of industry trends in claims analytics, fraud detection, and regulatory technology Required Qualifications Degree in data Analytics, Statistics, Computer Science, Economics, or a related field 10+ years of experience in data analytics, business intelligence, or insights roles 5+ years in a senior leadership ...

hybrid role with the expectation of working 2 days pw in the London office. Skills and experience required: Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or similar Experience delivering predictive analytics or machine learning solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost ...

ready, modular, and well-tested code. Advanced Modeling: Deep theoretical and practical knowledge of Machine Learning. You should be comfortable with everything from classical statistics and regression to deep learning and NLP. Data Engineering: Proficiency in SQL and experience working with modern data stacks (e.g., Snowflake, Spark, or cloud-native ...

technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills Degree in a STEM field. PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas. Bachelor’s/Master’s: 1–2 years of industry experience or relevant internships in ML, software engineering ...

experience , including 8+ years of hands-on experience in machine learning and data science Advanced degree (Master’s or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline Proven experience building and deploying advanced ML and deep learning models in enterprise environments Deep understanding of algorithm selection ...

tools, techniques, and industry trends Proactively raising risks, issues, or concerns with appropriate stakeholders Personal Profile Qualifications & Experience Essential Degree in Computer Science, Mathematics, Statistics, or a related discipline Strong proficiency in Python or R for data analysis Experience working with SQL and relational databases Proven experience building and deploying ...

financial services sector. Profile Credit Risk Analyst - Consumer Lending A successful Credit Risk Analyst should have: A strong academic background in Mathematics, Statistics, Economics, or a related field. Proficiency in data analysis tools and programming languages such as SAS,SQL, & Python . Experience with Amazon Quick site & AWS Redshift. Experience ...

Qualifications Strong interest in artificial intelligence, data science, or software development Basic understanding of programming (Python preferred) Familiarity with concepts such as data analysis, statistics, or algorithms (academic or self-taught is fine) Willingness to learn, ask questions, and take feedback Good communication and teamwork skills Training Level 4 Artificial ...

innovative platforms for data visualization including R Shiny, Power BI and/or Tableau A degree or equivalent professional experience in subjects such as Statistics, Data/Computer Science, Economics, Public Policy, or the Sciences would be desirable Please see attached Job Description and Person Specification for further details. About ...

Engineer Location: London, UK Duration: Contract Job Description: Your Profile Essential skills/knowledge/experience: Higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics, or related field. 5+ years in at least 2 AI domains: NLP, NLG, Computer Vision, Machine Learning, GenAI etc. ...

view to possibly becoming more hybrid thereafter. The role is paying £80,000-£100,000 DOE plus benefits. Required Qualifications Degree in data Analytics, Statistics, Computer Science, Economics, or a related field 10+ years of experience in data analytics, business intelligence, or insights roles 5+ years in a senior leadership ...

reporting tools (e.g., Excel, PowerPoint, Tableau, Power BI) BA/BS degree in an analytical or business-related field (e.g., Computer Science, Economics, Statistics, Mathematics, Business) Excellent communication, problem-solving, and stakeholder management skills Preferred Qualifications MBA or advanced analytical degree Experience launching consumer hardware products Familiarity with AI tools ...

experience , including 8+ years of hands-on experience in machine learning and data science Advanced degree (Master’s or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline Proven experience building and deploying advanced ML and deep learning models in enterprise environments Deep understanding of algorithm selection ...

response modelling, churn). Experience building KPI frameworks tied to marketing performance. Experience coaching junior team members. Qualifications: Degree in a quantitative field (Maths, Statistics, Data Science, Economics, Marketing Analytics, etc.). Certifications such as Google Analytics, Power BI, Tableau, CIM (preferred). HOW TO APPLY If you want ...

translating data into actionable strategy. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Degree (or equivalent) in Data Science, Mathematics, Statistics, or a related field. Desirable: Experience migrating from traditional databases to data lake architectures. Background in Financial Services or other regulated industries. Exposure to SAP/ ...

part of a team. Effective communication skills to share insights with non-technical stakeholders. Experience & Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, or related field. Previous experience in data processing, data analysis, or administration (preferred). Knowledge of data visualization tools such as Power BI (preferred). ...

organisation's data systems WHAT WE NEED FROM OUR BUSINESS ANALYTICS SPECIALISTS: A degree in Data Science, Computer Science, Management Information Systems (MIS), Finance, Statistics, or a related field could be an advantage Significant experience as a Data Analyst, Business Intelligence/BI Analyst, Market Research Analyst, Financial Analyst, Statistician ...

SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software is preferred. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. Excellent communication skills to convey complex technical concepts to technical and non-technical audiences. A passion for innovation and continuous ...

same Energetic and enthusiastic, capable of generating enthusiasm in others Qualifications Essential Educated to Degree level in a relevant subject (such as Mathematics, Economics, Statistics, Operational Research, or a related quantitative or analytical discipline) or equivalent level of qualification or significant equivalent previous proven experience in specialist area. Knowledge ...

degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field Strong foundations in machine learning, algorithms, and statistics Experience with Python and common ML libraries (e.g. TensorFlow, PyTorch, scikit-learn) Understanding of software engineering fundamentals and version control (e.g. Git) Ability to communicate ...