1 to 25 of 366 Permanent 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 ❯

/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 ❯

experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands 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 ❯

analytics. Excellent problem-solving skills with the ability to translate data insights into actionable business recommendations. Strong communication and stakeholder management skills. Degree in quantitative field such as Mathematics, Statistics, Economics, Finance, or a related discipline. Experience with machine learning techniques and data visualisation tools is a plus. What’s in it for you? Joining BNP Paribas Personal Finance means 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 ❯

. 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 ❯

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

technical stakeholders. Support ongoing projects around forecasting, budgeting, and financial planning. Continually improve your technical and financial knowledge with support from senior staff. Qualifications: Degree in Finance, Economics, Mathematics, Statistics , or a closely related field. Strong interest in data and financial analysis. Confidence working with Excel ; familiarity with SQL, Python , or Power BI is a plus. Basic understanding of financial More ❯

development of analytics models to predict trends and behaviors. Engage in continuous learning to stay abreast of the latest analytics technologies and methodologies. Qualifications: Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field, with a strong academic record. Demonstrated interest in data analysis through coursework, projects, or internships. Proficiency in at least one of the following: SQL More ❯

skills to convey findings clearly. Effective teamwork capabilities, suitable for remote collaboration. Independence in managing tasks and workload. Qualifications & Experience: A degree in a quantitative field such as mathematics, statistics, computer science, or economics is often preferred. Benefits: 25 days annual leave plus 8 bank holidays. Employee Assistance Programme (EAP). Expenses covered for work-related costs. "Family First" culture More ❯