26 to 50 of 112 Statistics Jobs in the UK excluding London

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 ❯

to business value Excellent stakeholder engagement and communication skills, with confidence working across operational, strategic and technical teams A degree (or equivalent experience) in a quantitative discipline such as statistics, mathematics, economics or data science It would be great if you had Experience working with Databricks Understanding of macroeconomic and market drivers affecting customer affordability and credit risk Prior experience More ❯

continuous improvement. Main duties of the job oOversee the delivery of business intelligence and analytical services that support strategic decision-making across the Trust in key areas such as Statistics and Planning, Performance and Quality, Finance and Income Reporting, and Operational Efficiency.oEnsure the team produces accurate and insightful reports, dashboards, and data analyses using advanced BI tools (e.g., SQL, Power More ❯

such as financial services, insurance, and operations optimization. This is a high-growth opportunity for someone with early industry experience (or strong academic grounding) in data science and applied statistics, eager to deepen their expertise and grow within a dynamic AI team working at the frontier of applied analytics and machine learning. Key Responsibilities: Contribute to the development of predictive … fast-paced, evolving environments. Strong written and verbal communication skills, with the ability to translate technical findings into business recommendations. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or another quantitative discipline. Preferred experience: Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing analytical workflows and deploying insights within enterprise environments. PhD in … Data Science, Statistics, Computer Science, or a related quantitative field. Publications in top data science/ML conferences or journals (e.g., NeurIPS, ICML, KDD, ACL, or similar). Open-source contributions to the data science or ML community (libraries, notebooks, packages, or tutorials). Experience presenting research or applied work at meetups, workshops, or industry conferences. Familiarity with vector databases 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 ❯

uncover patterns and generate insights. Growing your understanding of business domains such as audience behaviour, campaign performance or content engagement. About You You possess a solid, foundational understanding of statistics, including concepts like averages, variance, correlation, and significance testing. You have hands-on experience working with SQL and large datasets in a professional or academic setting and have experience with More ❯

to degree level in relevant subject or equivalent level qualification or significant experience of working at a similar level in specialist area Desirable Educated to degree level in economics, statistics, operational research or related subject. Post-graduate degree in Management Studies or equivalent Knowledge and experience Essential Extensive knowledge of specialist areas, acquired through post-graduate diploma or equivalent experience More ❯

asking questions, with strong work ethic. * Experience within data analysis (data matching, interpretation, number crunching) though this can come from your Degree or commercial work experience * Degree in Mathematics, Statistics or related subject * Excellent numeracy skills * Analytical mindset *Full training will be provided on SAS/Microstrategy, including the chance to sit certain exams* This is a very exciting and More ❯

For Strong hands-on capability with SQL for analytics (complex queries, joins, CTEs, window functions). Solid experience using Python for data analysis and modelling. A strong mathematics or statistics background - essential for building robust analytical approaches. Experience working within, or closely with, a pricing, commercial, or revenue function . Ability to interpret data and communicate insights to non-technical 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 tools 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 ❯

solutions. Work in a collaborative, cross-functional environment that values innovation, curiosity, and continuous learning. What You'll Need Basic Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, or a related technical field (or equivalent practical experience). 0-1 years of experience (including internships) in Machine Learning, Data Science, or Software Engineering. Strong programming skills in Python 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 ❯

and compliance through accurate data analysis Identifying opportunities for process automation and efficiency improvements Experience and skills required: Data analysis experience Preferably a degree in the following subjects: Mathematics, Statistics, Actuarial Science, or related field Advanced Excel skills SQL experience Knowledge of BI tools, e.g. Power BI, SAP Business Objects, would be advantageous The ability to present complex data in More ❯

programming Desirable: - Experience with software-hardware integration or working with embedded systems - Familiarity with computer networking concepts - Experience using deep-learning frameworks (e.g., TensorFlow, PyTorch) - Understanding of machine learning, statistics, optimisation or algorithm development - Experience developing mobile applications (iOS/Android) Please contact us as soon as possible for more details or apply below More ❯

terms Strong proficiency in Microsoft Excel and basic statistical analysis; familiarity with advanced analytics tools (e.g., Tableau, Power BI, Python, R) is an asset. Bachelors degree in business, economics, statistics, marketing, or a related field. Right to live and work in the UK without sponsorship Ability to be on site in Basingstoke The Next Steps If this sounds like you More ❯

and interpersonal skills, to work closely with others in the team and the departments that you will support. A degree or equivalent in an analytical discipline such as Mathematics, Statistics, or equivalent practical experience would be advantageous. This is a great opportunity to develop your expertise, working on high profile priorities as part of a dynamic and supportive professional team. More ❯

consumer or marketplace environments. Experience developing analytics, machine learning, and AI solutions for CRM and personalization, including propensity, churn, LTV/CLV, uplift, or recommendation models. Strong experimentation and statistics skills, including test design, sample sizing, variance reduction techniques, and causal inference. Proficiency in SQL and Python for data wrangling, modeling, and automation, with familiarity in data warehouses and version 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 ❯

knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable for both graduates and experienced engineers with strong problem-solving skills and a desire to learn. More ❯

knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable for both graduates and experienced engineers with strong problem-solving skills and a desire to learn. More ❯

knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable for both graduates and experienced engineers with strong problem-solving skills and a desire to learn. More ❯