1 to 25 of 99 Remote 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 Spark. Deep understanding of supply chain operations and the ability to apply data science methods to solve real-world business problems effectively. Strong foundational knowledge in mathematics and statistics, typically to at least MSc level, enabling rigorous analytical modelling. Demonstrated success driving cross-functional collaboration with product managers, engineers, and business stakeholders to deliver impactful, user-centric data products. … Science, Information Systems and/or equivalent formal training plus work experience BS & 5+ years of work experience MS & 4+ years of work experience Proficient with machine learning and statistics Proficient with Python, deep learning frameworks, Computer Vision, Spark Have produced production level algorithms Proficient in researching, developing, synthesizing new algorithms and techniques Excellent communication skills Desirable Qualifications Master's More ❯

project work Sourcing and engineering data to support data science activities Ensuring all work is documented, quality assured, and aligned with governance Who we’re looking for: Degree in statistics, computer science, data science, or equivalent experience Strong experience handling high volumes of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques More ❯

project work Sourcing and engineering data to support data science activities Ensuring all work is documented, quality assured, and aligned with governance Who we’re looking for: Degree in statistics, computer science, data science, or equivalent experience Strong experience handling high volumes of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques More ❯