1 to 25 of 45 Remote Statistics Jobs in the UK excluding London

operational research, big data and dashboarding deliveries Present findings to non-technical stakeholders Candidate Profile Active DV clearance (essential) Degree/Master's/PhD in Data Science, Mathematics, Statistics, Physics, Operational Research or similar Strong experience in advanced analytics, modelling, or operational research Skilled in Python, SQL and Excel Experience within the Defence & Security sector Ability to formulate problems More ❯

operational research, big data and dashboarding deliveries Present findings to non-technical stakeholders Candidate Profile Active DV clearance (essential) Degree/Master's/PhD in Data Science, Mathematics, Statistics, Physics, Operational Research or similar Strong experience in advanced analytics, modelling, or operational research Skilled in Python, SQL and Excel Experience within the Defence & Security sector Ability to formulate problems More ❯

operational research, big data and dashboarding deliveries Present findings to non-technical stakeholders Candidate Profile Active DV clearance (essential) Degree/Master's/PhD in Data Science, Mathematics, Statistics, Physics, Operational Research or similar Strong experience in advanced analytics, modelling, or operational research Skilled in Python, SQL and Excel Experience within the Defence & Security sector Ability to formulate problems More ❯

complex findings to senior stakeholders and non-technical audiences. Ability to work independently, manage multiple priorities, and deliver high-quality work to deadlines. Degree or experience in Data Science, Statistics, Business Analytics, Mathematics, or a relevant experience. Experience in predictive analytics, forecasting, or machine learning applications in a business context. Knowledge of data protection regulations (GDPR) and best practices. A More ❯

complex findings to senior stakeholders and non-technical audiences.• Ability to work independently, manage multiple priorities, and deliver high-quality work to deadlines.• Degree or experience in Data Science, Statistics, Business Analytics, Mathematics, or a relevant experience.• Experience in predictive analytics, forecasting, or machine learning applications in a business context.• Knowledge of data protection regulations (GDPR) and best practices. A More ❯

and experimentation. Enjoy autonomy, ownership, and creative freedom-your ideas will have visible impact. Please click here to view the full job description Essential Skills & Experience: Strong fundamentals in statistics, probability, mathematical modeling, and computational thinking. Deep understanding of machine learning algorithms, optimization, architectures, and evaluation. Experience with data engineering workflows, including ETL, pipeline design, and feature extraction. Proficiency in More ❯

management abilities. Preferred Qualifications: Experience in alternative data usage for credit risk evaluation. Familiarity with Open Banking and fintech lending platforms. Bachelor's or Master's degree in Finance, Statistics, Mathematics, Economics, or a related field. Benefits Pension Plan Paid Time Off Work From Home Training & Development #LI-A More ❯

as part of a data team is preferred. Confident working independently under instruction. We prefer candidates with a degree, apprenticeship or diploma in a numerical discipline such as Mathematics, Statistics or Data Science. Bachelor’s degree (preferred), with GCSE English Language grade 5/C or equivalent. Benefits: Generous company pension. Cycle to work scheme. Tech scheme. Life Insurance (following More ❯

members, and may manage junior Data Scientists or graduates in the future. Who you are You hold a Master's degree in a data-relevant field such as Maths, Statistics, Data Science, Engineering or Psychology and have experience in data science in a commercial environment, and have demonstrated leadership in that role. With experience in relevant coding languages (Python or More ❯

simultaneously. Good communication and presentation skills, including the ability to effectively convey complex ideas to both technical and non-technical audiences. Bachelors degree in Business Administration, Computer Science, Mathematics, Statistics, or another relevant field. Strong proficiency in Microsoft Excel, PowerPoint, and Access; experience with Tableau, PowerBI, or QlikView is highly desirable as is experience working with relational databases such as More ❯

simultaneously. Good communication and presentation skills, including the ability to effectively convey complex ideas to both technical and non-technical audiences. Bachelors degree in Business Administration, Computer Science, Mathematics, Statistics, or another relevant field. Strong proficiency in Microsoft Excel, PowerPoint, and Access; experience with Tableau, PowerBI, or QlikView is highly desirable as is experience working with relational databases such as More ❯

simultaneously. Good communication and presentation skills, including the ability to effectively convey complex ideas to both technical and non-technical audiences. Bachelors degree in Business Administration, Computer Science, Mathematics, Statistics, or another relevant field. Strong proficiency in Microsoft Excel, PowerPoint, and Access; experience with Tableau, PowerBI, or QlikView is highly desirable as is experience working with relational databases such as More ❯

cross-functional teams and translating data into strategy. Familiarity with cloud platforms like Azure Data Lake, AWS, or Google Cloud. A degree (or equivalent experience) in Data Science, Mathematics, Statistics, or similar. A passion for continuous improvement and data-led transformation. Desirable Experience Experience migrating from traditional databases to data lake architecture. Background in Utilities or Financial Services. Exposure to More ❯

Participate in projects focused on budgeting, forecasting, and performance tracking. Continually improve your analytical skills with mentorship and access to the latest tools. Qualifications: Degree in Finance, Economics, Mathematics, Statistics , or similar. Foundational understanding of data analysis and a clear interest in financial analytics. Excel proficiency is essential; familiarity with SQL, Python, or R is a plus. Strong numerical and More ❯

and results to both technical, and business audiences Ability to work both independently and in highly collaborative team environments Preferred qualifications, capabilities, and skills Strong background in Mathematics and Statistics Familiarity with the financial services industries Published research in areas of natural language processing, deep learning, or reinforcement learning at a major conference or journal Ability to develop and debug More ❯

Are highly skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. Have a strong background in one or more of the following areas: exploratory data analysis and More ❯

and finding creative solutions Bachelors Degree Required, ideally in Information Sciences or Business Studies Excellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Client-facing experience is a plus. Benefits Hybrid working (2 days in More ❯

teams to: *Provide regular feedback on current status, potential issues and risks to completion. *Provide technical analysis and support relating to product obsolescence within a contract. *Provide detailed reliability statistics to support future sales/modelling initiatives. Day to day responsibilities: *Develop and manage individual work plans and analysis schedules, communicating risks or blockers in a timely manner. *Utilise relevant More ❯

in Metabase that support operational planning. Collaborative mindset: Works well across Commercial, Supply, and Pricing functions. Education & Experience: You have a degree in a quantitative field such as Mathematics, Statistics, Economics, or Engineering, and 2–3 years of experience in analytics—preferably with exposure to commercial operations, pricing, or inventory analytics. Benefits Technology Incentive Scheme - we offer different bonus schemes More ❯

Computer Science, Mathematics, Life Sciences or a related discipline At least 3 years of working experience in software using Java and Python You may also have Good understanding of Statistics, Graph theory, Probability theory Familiar with standard development tools (continuous integration e.g. Jenkins, build management e.g. Maven, and source code management systems e.g. GIT, etc) Understanding of good coding practices More ❯

data-visualisation and storytelling skills Interest in materials discovery, computer vision, big data, or optimisation Collaborative communicator, organised, proactive, and curious Desired Skills Masters degree in ML, mathematics, or statistics Knowledge of probabilistic and Bayesian modelling Solid software-engineering principles and experience with an OO language Familiarity with cloud platforms (Azure, AWS, or GCP) and IaC tools such as Terraform More ❯

Have Skills Database Knowledge: Experience with SQL Server or Oracle. Financial Domain: Working knowledge of the investment banking and finance sector. Analytics: Familiarity with Data Science , Machine Learning , and Statistics . Reporting Tools: Knowledge of Power BI . Project Management: The ability to work on multiple projects simultaneously. If you're ready to take the next step in your career More ❯

systems, ensuring accuracy and compliance. Manage system configuration, user setup, testing, documentation, and change control. Validate and maintain data accuracy across all HR system touchpoints. Produce reports, dashboards, and statistics to support informed decision-making. Act as the first point of contact for HR system users, providing support and training. Identify and recommend system enhancements to improve service delivery. Always More ❯

testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise PREFERRED EXPERIENCE: Domain-specific experience in statistics, machine learning, or AMO physics Experience with Numpy, Scipy, and Pytorch Experience with image analysis, emphasis on realtime object detection Experience with databases (relational and non-relational) including but not More ❯

IT operations. Strong knowledge of Linux, UNIX, virtualization, and containerization. Proficiency in Python, PHP, and web development. Familiarity with BI tools, Grafana, and data visualization. Background in data analysis, statistics, and mathematics. Experience in financial services IT environments is essential. More ❯