26 to 50 of 322 Statistics Jobs in the UK

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 ❯

communicate implications to stakeholders. Requirements 5+ years of experience in data analysis, computer science, or a related field, preferably within fintech. Bachelor's or Master's degree in Finance, Statistics, Mathematics, Data Science, Computer Science, or a related discipline. Proficiency in coding languages such as Python, R, or similar. Strong knowledge of statistical methods and data analysis techniques. Familiarity with 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 ❯

apply advanced data preparation and refinement techniques Significant experience leveraging SQL and Python for data querying Experience with different visualizations tools such as Tableau or PowerBI Experience in intermediate statistics Have knowledge of big data platforms Ability to present complex issues in simple and sophisticated insights Ability to combine visualizations from multiple sources to tell an effective and engaging story More ❯

apply advanced data preparation and refinement techniques Significant experience leveraging SQL and Python for data querying Experience with different visualizations tools such as Tableau or PowerBI Experience in intermediate statistics Have knowledge of big data platforms Ability to present complex issues in simple and sophisticated insights Ability to combine visualizations from multiple sources to tell an effective and engaging story More ❯

apply advanced data preparation and refinement techniques Significant experience leveraging SQL and Python for data querying Experience with different visualizations tools such as Tableau or PowerBI Experience in intermediate statistics Have knowledge of big data platforms Ability to present complex issues in simple and sophisticated insights Ability to combine visualizations from multiple sources to tell an effective and engaging story More ❯

apply advanced data preparation and refinement techniques Significant experience leveraging SQL and Python for data querying Experience with different visualizations tools such as Tableau or PowerBI Experience in intermediate statistics Have knowledge of big data platforms Ability to present complex issues in simple and sophisticated insights Ability to combine visualizations from multiple sources to tell an effective and engaging story More ❯

apply advanced data preparation and refinement techniques Significant experience leveraging SQL and Python for data querying Experience with different visualizations tools such as Tableau or PowerBI Experience in intermediate statistics Have knowledge of big data platforms Ability to present complex issues in simple and sophisticated insights Ability to combine visualizations from multiple sources to tell an effective and engaging story More ❯

At least 4 years of experience in the Data Analytics space (preferably in a consulting context) University degree 2.1 or higher (or equivalent) in Computer Science/Mathematics/Statistics or equivalent End to end knowledge of data warehouse and reporting processes Ability to identify and implement process improvements in a controlled manner Have strong consulting skills, having applied business More ❯

trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. How to Apply: Please register More ❯

trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. How to Apply: Please register More ❯

are executed effectively Share complex ideas, issues, and recommendations to gain agreement from different levels and backgrounds in presentation and written form. Your background. Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Proven experience in analytics or data science roles Experience in using customer analysis to identify commercial opportunities Excellent analytical thinking and problem-solving abilities Knowledge of More ❯

Experience with data analysis, data visualization, and data cleansing. Experience in applying data science within the context of engineering, manufacturing, or industrial operations desirable. Degree in Computer Science, Mathematics, Statistics, Data Science, or a related field. More ❯

on industry trends and emerging technologies in analytics. Profile A successful Business Intelligence Analyst should have: A degree or equivalent qualification in a relevant field such as data analytics, statistics, or computer science. Proficiency in data visualisation tools such as Power BI, Tableau, or similar. Strong analytical and problem-solving skills. Experience with SQL/DAX or similar database query More ❯

stakeholders and technical teams. Ensuring solutions are well-documented, quality assured, and compliant with governance and risk processes. What we're looking for: Degree in a quantitative discipline (e.g., Statistics, Computer Science, Data Science) or equivalent experience. Strong hands-on experience working with large datasets. Knowledge of a broad range of Generative AI models and understanding of large language model More ❯

graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical More ❯

graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical More ❯

graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical More ❯

graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical More ❯

graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical More ❯

graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical More ❯

and developing new initiatives to drive transformation and/or efficiency in RegTech, FinTech, or other related industries. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Technical Skills: Hands-on proficiency with AWS cloud platform solutions and the challenges and opportunities around ML model management. Strong knowledge of SQL and database management More ❯

Technical Expertise: Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. Foundational Knowledge: 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 ❯