1 to 25 of 345 Statistics Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

and agile technology solutions that empower analysts and support commercial decision-making. We provide direct technology support worldwide, combining IT expertise with practical analytics experience, including data science methods, statistics, numerical algorithms, derivative pricing, and optimisation. You will deliver practical technology solutions while supporting strategic initiatives such as modern data repositories, data ontologies, analytical toolkits, visualisation technologies, and cloud computing. 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 ❯