1 to 25 of 266 Statistics Jobs in the UK excluding London

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 ❯

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 ❯

developing proposals and contributing to the growth of the AIM Reply About the Candidate: Bachelor's or Master's degree in a related field such as computer science, mathematics, statistics, or data science Strong analytical and problem-solving skills with experience in statistical analysis and machine learning Proficiency in programming languages such as Python or R Excellent communication skills with 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 ❯

. 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 ❯

reporting processes and improve data visualization for stakeholders. Translate complex data into actionable insights to support decision-making. Requirements: Education & Experience: Bachelor's degree in data science, Computer Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data analyst role, preferably within secure government programmes. Strong understanding of RBAC and ABAC principles and their application in More ❯

action. With strong technical expertise and the ability to communicate insights clearly, you thrive at the intersection of data, business, and education. Essential: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field. 3+ years of professional experience in data science roles. Expertise in Python, SQL, and ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch). Hands-on More ❯

their development. Requirements 3-5 years of experience in data analytics, preferably in a consulting or advisory context. University degree 2.1 or higher (or equivalent) in Computer Science, Mathematics, Statistics, or a related field. Strong analytical and problem-solving skills, with a keen attention to detail. Proficiency in BI tools such as Power BI, Qlik, or Tableau. Solid understanding of More ❯

reviews performed by regulators, monitors, and internal audit Your skills and experience Advanced degree (Master's or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics). Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office. Experience in data analytics or screening model development. More ❯

analytics requirements in the Fixed Income Finance business. Create, implement, and support quantitative models for the Fixed Income trading business, leveraging mathematical and computer science methods including mathematical finance, statistics, probability, and software engineering. Design database structures and write SQL and KDB queries for data manipulation and retrieval, including creating, updating, and optimizing database schemas, performing CRUD operations, and implementing More ❯

and test planning Excellent communication skills - capable of clearly translating technical issues into business context and vice versa. What will set you apart? Bachelor's degree in Finance, Economics, Statistics, Computer Science, or related discipline. CFA Certification or progress toward completion. Familiarity with third-party credit platforms (e.g., Bloomberg, FactSet, MSCI). Experience with data visualization tools (e.g., Tableau, Power 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 ❯

product innovation. Commit to continuous enhancement of data analytics skills, staying abreast of the latest industry tools and practices. Desired Qualifications: Bachelor’s degree in Computer Science, Data Science, Statistics, or a related technical discipline. Solid foundation in data analysis, with a keen interest in specializing within the tech sector. Proficiency in Excel; proficiency in SQL, Python, R, or other More ❯