1 to 25 of 451 Statistics Jobs in the UK

will help you grow. 🏢 Hybrid Flexibility – Balance remote work with collaborative days at our London office. What We’re Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and statistical methods Strong analytical and problem-solving skills More ❯

will help you grow. 🏢 Hybrid Flexibility – Balance remote work with collaborative days at our London office. What We’re Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and statistical methods Strong analytical and problem-solving skills More ❯

will help you grow. 🏢 Hybrid Flexibility – Balance remote work with collaborative days at our London office. What We’re Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and statistical methods Strong analytical and problem-solving skills More ❯

will help you grow. 🏢 Hybrid Flexibility – Balance remote work with collaborative days at our London office. What We’re Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and statistical methods Strong analytical and problem-solving skills More ❯

of whether they meet all qualifications, to apply. While the following qualifications are relevant to our work, they are not strict requirements: BS or MS degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in machine learning, statistical modeling (5+ years) Proficiency in programming languages such as Python or R. Experience with SQL and working with 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 ❯

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 ❯

business questions into well scoped technical tasks and clearly communicate results to stakeholders, including senior leadership. You Have: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. 6+ years of experience in ML Engineering or Data Science (finance, fintech, or treasury a plus). Proficiency in Python-including pandas, scikit learn, TensorFlow/ 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 ❯

so you'll need to show both advanced technical acumen and a strong interest in business strategy. Requirements A Degree in a quantitative discipline such as computer science, engineering, statistics, or applied mathematics from a leading academic institution is preferred. 8+ years of experience in solution development such as Data Analysis, Data Architecture, Data Warehouses (DWH), or Data Lakes in 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. Nice-to-have Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model explainability More ❯

to non-technical stakeholders. Help develop tools using SQL, Python, and BI platforms (e.g. Quicksight, Power BI, Tableau). What we’re looking for Essential: A degree in (Maths, Statistics, Economics, Computer Science, Data Science). Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive mindset. More ❯

to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but More ❯

track key performance indicators (KPIs). Work closely with data engineers to ensure data accuracy and infrastructure optimization. Required Qualifications and Experience: Bachelors or masters degree in data science, Statistics, Computer Science, Economics, or a related field. 5+ years of experience in data analysis, business intelligence, or related roles. Proficiency in HubSpot CRM. Strong proficiency in SQL, Excel, and data 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 ❯

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 ❯

to address business challenges. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Recently completed a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field. Strong analytical and problem-solving skills with a keen attention to detail. Basic knowledge of data visualization tools, particularly Power BI. Familiarity More ❯

to address business challenges. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Recently completed a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field. Strong analytical and problem-solving skills with a keen attention to detail. Basic knowledge of data visualization tools, particularly Power BI. Familiarity More ❯

Scientist and the successful candidate must have the right to work in the UK and meet the following criteria: Required Skills & Experience: Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the More ❯

to address business challenges. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field. Strong analytical and problem-solving skills with a keen attention to detail. Basic knowledge of data visualization tools, particularly Power BI. Familiarity 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 ❯

internal stakeholders, advice and guide on model and data suitability Guide and mentor junior data scientists on technical subjects Requirements and Skills Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field. 6+ years of professional experience in Data Science/Machine Learning/Quant, including in the Financial Services sector Hands on project lifecycle More ❯

looking for Minimum 5 years of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives. A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field. Strong ability to manipulate, analyze, and interpret large, complex datasets independently. Deep understanding of advanced statistical techniques and concepts More ❯

internal stakeholders, advice and guide on model and data suitability Guide and mentor junior data scientists on technical subjects Requirements and Skills Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field. 6+ years of professional experience in Data Science/Machine Learning/Quant, including in the Financial Services sector Hands on project lifecycle More ❯

of customer requirements and internal processes is required A minimum of 2 years' experience working with Clinical Data Sets Certification in PowerBI, MS Fabric or similar Formal training in statistics, data modelling, or data science. Understanding of personal bias Communication skill that are effective across all levels Experience presenting at cross-organisational or sector forums. Working with others Willingness to More ❯