1 to 25 of 307 Statistics Jobs in the UK

integrity principles Some other highly valued skills may include: Experience at a large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly More ❯

Identify opportunities for efficiency and performance optimisation within the team. Ensure robust project management, risk management, and progress reporting. Knowledge, Skills & Experience Essential Degree in Computer Science, Data Science, Statistics, Engineering, or equivalent. Proficiency in Python, SQL, ETL, APIs, and cloud platforms (AWS/Azure/GCP). Knowledge of ML algorithms, operationalisation, and model monitoring. Strong understanding of governance More ❯

/ML tools, OTE modeling, or pricing strategy. Certifications: Lean Six Sigma, Power BI, Tableau, or finance/commercial qualifications (CIMA/ACCA). Bachelors degree in Data Science, Statistics, Mathematics, Economics, Business Analytics, or Computer Science. Masters degree or relevant professional certifications are a plus. Why Join Us? Opportunity to influence commercial strategy and decision-making at a high More ❯

departments. Comfortable working in a fast-paced, data-driven environment. Knowledge of Azure cloud platform and consuming API data sources would be beneficial. Qualifications and Certifications Degree in Economics, Statistics, Data Science, or a related discipline. Additional certifications in data analytics or business intelligence (e.g., Microsoft Benefits & ways of working 💰 Financial benefits: Competitive pay, annual bonus, pension (5% employer contribution More ❯

departments. Comfortable working in a fast-paced, data-driven environment. Knowledge of Azure cloud platform and consuming API data sources would be beneficial. Qualifications and Certifications Degree in Economics, Statistics, Data Science, or a related discipline. Additional certifications in data analytics or business intelligence (e.g., Microsoft Benefits & ways of working 💰 Financial benefits: Competitive pay, annual bonus, pension (5% employer contribution More ❯

departments. Comfortable working in a fast-paced, data-driven environment. Knowledge of Azure cloud platform and consuming API data sources would be beneficial. Qualifications and Certifications Degree in Economics, Statistics, Data Science, or a related discipline. Additional certifications in data analytics or business intelligence (e.g., Microsoft Benefits & ways of working 💰 Financial benefits: Competitive pay, annual bonus, pension (5% employer contribution More ❯

departments. Comfortable working in a fast-paced, data-driven environment. Knowledge of Azure cloud platform and consuming API data sources would be beneficial. Qualifications and Certifications Degree in Economics, Statistics, Data Science, or a related discipline. Additional certifications in data analytics or business intelligence (e.g., Microsoft Benefits & ways of working 💰 Financial benefits: Competitive pay, annual bonus, pension (5% employer contribution More ❯

departments. Comfortable working in a fast-paced, data-driven environment. Knowledge of Azure cloud platform and consuming API data sources would be beneficial. Qualifications and Certifications Degree in Economics, Statistics, Data Science, or a related discipline. Additional certifications in data analytics or business intelligence (e.g., Microsoft Benefits & ways of working 💰 Financial benefits: Competitive pay, annual bonus, pension (5% employer contribution More ❯

for prompt engineering or agents is preferred Cloud Expertise: Building, deploying and monitoring models on cloud like Azure, AWS or GCP is preferred. Foundational Knowledge: A strong foundation in statistics, mathematics, AI principles and programming is essential for success in this role. Ideally, you will also have Problem-Solving: Ability to translate business assumptions and rules into feature engineering and More ❯

analysis, recommending and implementing best practices and tools. Ensure data integrity and compliance with data protection regulations and company policies. Qualifications and skills Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. Some experience in data analysis, with a basic understanding of leveraging data to drive business impact. Proficiency in data mining, statistical analysis, and basic machine More ❯

analysis, recommending and implementing best practices and tools. Ensure data integrity and compliance with data protection regulations and company policies. Qualifications and skills Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. Some experience in data analysis, with a basic understanding of leveraging data to drive business impact. Proficiency in data mining, statistical analysis, and basic machine More ❯

analysis, recommending and implementing best practices and tools. Ensure data integrity and compliance with data protection regulations and company policies. Qualifications and skills Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. Some experience in data analysis, with a basic understanding of leveraging data to drive business impact. Proficiency in data mining, statistical analysis, and basic machine More ❯

to monitor and ensure data quality and operational performance. Qualifications Bachelor's degree in Data Science, Computer Science, or a related field. Doctorate in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. A "full stack" data scientist - with extensive expertise of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in More ❯

such as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD What's in it for you? A range of flexible working options to dedicate time to what matters to More ❯

development of the global Voice of Customer programme. About You We're looking for someone who brings: A degree (2:1 or above) in a quantitative field such as Statistics, Mathematics, Data Science, or similar. Strong analytical and problem-solving skills with a keen eye for detail. The ability to communicate insights clearly and persuasively to non-technical audiences. Experience More ❯

leading high-performing teams. Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. A strong foundation in statistics, mathematics, and programming is essential for success in this role. The following will be an advantage; Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model More ❯

excellence and experimentation, and invest in the long-term growth and development of your team. You Have: Master's degree in a quantitative or computational discipline such as Mathematics, Statistics, Computer Science, or Engineering. 10+ years of experience in Analytics, Data Science, or a related field, with a demonstrated ability to drive strategic insights and measurable business outcomes at scale. More ❯

AI/ML and proactively identify opportunities to apply them within the organization. Qualifications & Experience (Required) Education: Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or Engineering. Experience: 5+ years of professional experience as a Data Scientist, with a proven track record of building and deploying ML models in a financial services environment More ❯

. Experience with SQL, R, or Python for data analysis. Ability to design automated reporting solutions. Qualifications Essential Degree in a numerate, analytical, or health-related subject (e.g., Mathematics, Statistics, Economics, Informatics, Public Health) or equivalent experience. Desirable Postgraduate qualification in health informatics, data science, or related field. Evidence of continuing professional development (CPD). Disclosure and Barring Service Check More ❯

methods to solve unique financial challenges. Commit to continuous learning in financial analytics, tools, and best practices to enhance data analysis capabilities. Qualifications: Bachelor’s degree in Finance, Economics, Statistics, Mathematics, or a related field. Strong foundational knowledge of data analysis, with a keen interest in developing further expertise in the finance sector. Proficiency in Excel is required; familiarity with More ❯

developer community and internal users to gather feedback and inform product development. Minimum Qualifications: Educational Foundation: o A Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Information Technology, Engineering, or a related quantitative field. Experience in Data-Driven Product Management: o Proven experience in product management, with a demonstrable focus on data analytics, business intelligence More ❯

analysis of trends within performance data, highlighting variances and supporting decision making and improvement. Manipulate and analyse data using advanced Excel skills, including combining data from multiple sources, producing statistics, pivot tables and graphs. Extract and manipulate data from the trusts data warehouse using TSQL on Microsoft SQL Management Studio. Support the scoping of new datasets by testing and auditing More ❯

data to deliver data-driven insights. Working knowledge of VBA, SQL, Python, R and/or Matlab. Strong academic background with a degree in Physics, Computer Science, Engineering, Mathematics, Statistics or related discipline. Strong quantitative and problem solving skills. Good communication skills, ability to deliver complex problems in a simplified way. Mason Blake acts as an employment agency for permanent More ❯

Familiarity with the Power Platform, Python, or other analytics tools. Experience within a compliance or regulatory data environment is beneficial but not essential. Other Skills & Experience: Degree in Mathematics, Statistics, Computer Science, Engineering, or a related field — or equivalent practical experience (minimum 2 years in a data/analytics role). Strong attention to detail and analytical thinking. Excellent written More ❯

Familiarity with the Power Platform, Python, or other analytics tools. Experience within a compliance or regulatory data environment is beneficial but not essential. Other Skills & Experience: Degree in Mathematics, Statistics, Computer Science, Engineering, or a related field — or equivalent practical experience (minimum 2 years in a data/analytics role). Strong attention to detail and analytical thinking. Excellent written More ❯