76 to 100 of 155 Statistics Jobs in the UK

data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large ...

data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large ...

data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large ...

data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large ...

data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large ...

policy decisions, research and analysis. ONE Data works with complex, fragmented public finance and development datasets, from aid flows and budget data to debt statistics and policy indicators. The Data Engineer designs the pipelines, models, and quality frameworks that transform these disparate sources into trusted, interoperable data that researchers, policymakers ...

policy decisions, research and analysis. ONE Data works with complex, fragmented public finance and development datasets, from aid flows and budget data to debt statistics and policy indicators. The Data Engineer designs the pipelines, models, and quality frameworks that transform these disparate sources into trusted, interoperable data that researchers, policymakers ...

ability to communicate uncertainty intervals credibly to non-technical stakeholders is as important as computing them correctly. Feature Engineering at Scale. Lag features, rolling statistics, Fourier transforms for seasonality decomposition, target encoding with temporal leakage guards, embeddings for categorical market variables. You understand that the quality of your features usually ...

industry best practices Ensure data quality, integrity, and governance standards are maintained Required Qualifications Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related quantitative field 2+ years of experience in data science, analytics, or a related role (adjust based on seniority) Strong proficiency … Python or R Experience with SQL and working with large datasets Solid understanding of statistics, probability, and machine learning concepts Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) Ability to communicate complex analytical findings to diverse audiences Preferred Qualifications Experience with cloud platforms (AWS, GCP, Azure) Familiarity ...

teams to ensure data quality, accessibility, and scalability across the organisation. What We’re Looking For Strong analytical foundation with experience applying statistics and data science in a commercial setting. Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value. Proficiency in Python (Pandas, NumPy ...

/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike 5+ years of engineering ...

/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike 5+ years of engineering ...

DevOps Engineer or AWS Solutions Architect certification. Experience working in Agile and consulting environments. Educational Criteria : Bachelor’s degree in computer science, Maths, IT, statistics or physics related field. You should be entitled to work in the UK with legal work authorization status. Must be willing to travel within ...

leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working closely with Engineering/Data teams in production-first environments Comfortable operating within regulated industries Desirable ...

NCAAB, NCAAF), Cricket, Tennis or Football. Experience collaborating with Data Scientists or Data Engineers. Comfort with mathematical concepts such as probability, statistics and matrix operations. Additional notes While experience with C# is preferred, candidates with a strong Java background and relevant industry exposure - or a clear personal interest in betting ...

science libraries: Pandas, NumPy, and SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation in statistical modeling , probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics. Databases & Querying: Proficiency … tools like Matplotlib, Seaborn, Tableau, or Power BI to communicate insights. Education & Experience Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. [Number] years of professional experience as a Data Scientist or in a highly quantitative role. Soft Skills (Your ...

processes are ready. During market - sporadically monitoring behaviour and performance of strategies. Ideal Candidate: Quantitative background - including Master/PhD's in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Programming proficiency with at least one major programming or scripting language (Python, C++ ...

years Python experience, especially with scientific libraries (NumPy, SciPy, Pandas). Relevant degree (Maths, Computer Science, or related quantitative field). Strong maths/statistics/analytics background, with experience translating theory into production-ready Python code. Experience building analytics/optimization solutions in a product environment . Bonus: familiarity ...

graduate, with relevant course work, internship, or other applicable experience or knowledge Bachelor's degree in a quantitative or related field such as Mathematics, Statistics, Econometrics, Engineering, Operations Research, Computer Science, Physics, Economics, Finance Strong communication skills with the ability to collaborate with teammates globally Strong sense of urgency with ...

years’ experience with Microsoft SQL Server (2016+) and SSIS in production environments. Strong SQL Server engineering: advanced T-SQL, indexing, performance tuning, execution plans, statistics, partitioning, tempdb optimisation. Proven experience with ETL/ELT development and design patterns (incremental loads, CDC, SCD, error handling, idempotency). Strong data modelling skills ...

database query optimisation, and data mining Experience in some of the following domains: bioinformatics, genomics, ontologies, functional annotation, and high throughput sequencing analysis, statistics Experience of some of the following technologies: Python, Rust, Perl, GraphQL, JavaScript, TypeScript, Apache, MySQL, PostgreSQL, DuckDB, SQLite Hands on experience working with AI based tools ...

detection models. · Contributions to open-source ML/Al projects. · Knowledge in Natural Language Processing (NLP), computer vision, or reinforcement learning. · Strong mathematics and statistics background. · Excellent problem-solving and critical thinking abilities. · Ability to work independently and collaboratively within a team. · Strong communication skills to explain technical details … technical stakeholders. Education: Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field (or equivalent bootcamp experience). ...

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 click apply for full job details ...

design, support, performance, and reporting. The role requires: Established skills in T-SQL programming. A deep understanding of Microsoft SQL Server fundamentals including, indexes, statistics, query plans, tempdb, installation, configuration, DMVs and, troubleshooting. A good understanding relational table design including normalisation, constraints, OLAP vs OLTP, traditional data warehousing. Experienced ...

reflect the new survey structure, maintaining continuity with existing reporting. Ensure data flows are complete, accurate and accessible for internal analysis and KPI Official Statistics production. Provide rapid updates, iterations and refinements based on stakeholder feedback and short turnaround times. Support additional data management, analysis and presentation tasks as required. ...