1 to 25 of 138 Statistics Jobs in the UK

business's objectives. You want to proactively share your skills, knowledge, and energy to achieve shared ambitions. WHAT WE ARE LOOKING FOR Bachelors or Master's degree related to Statistics, Mathematics, Computer Science, Economics etc. Excellent analytical skills with the ability to collect, organise, analyse, and disseminate large sets of information with attention to detail and accuracy Excellent problem-solving More ❯

culture of learning and development. Comfortable managing multiple projects and priorities with a flexible, can-do attitude. Qualifications Degree-level education in a relevant field (e.g., Data Science, Mathematics, Statistics, Computer Science, Social Sciences, Economics) or equivalent hands-on experience in a senior data or analytical role. Commitment to professional development and staying current with emerging tools, trends, and best More ❯

culture of learning and development. Comfortable managing multiple projects and priorities with a flexible, can-do attitude. Qualifications Degree-level education in a relevant field (e.g., Data Science, Mathematics, Statistics, Computer Science, Social Sciences, Economics) or equivalent hands-on experience in a senior data or analytical role. Commitment to professional development and staying current with emerging tools, trends, and best More ❯

make it better Strong analytical and problem-solving abilities with a keen attention to detail. Preferred skills and qualifications of the Data Analyst Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related Proficient in SQL and data visualisation tools such as Power BI or Tableau Practical experience in developing data warehouse solutions as part of a 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 ❯

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 ❯

analytics requirements in the Fixed Income Finance business. Create, implement, and support quantitative models for the Fixed Income trading business, leveraging mathematical and computer science methods including mathematical finance, statistics, probability, and software engineering. Design database structures and write SQL and KDB queries for data manipulation and retrieval, including creating, updating, and optimizing database schemas, performing CRUD operations, and implementing More ❯

methods to solve unique financial challenges. Commit to continuous learning in financial analytics, tools, and best practices to enhance data analysis capabilities. Qualifications: Bachelor’s degree in Finance, Economics, Statistics, Mathematics, or a related field. Strong foundational knowledge of data analysis, with a keen interest in developing further expertise in the finance sector. Proficiency in Excel is required; familiarity with More ❯

their development. Requirements 3-5 years of experience in data analytics, preferably in a consulting or advisory context. University degree 2.1 or higher (or equivalent) in Computer Science, Mathematics, Statistics, or a related field. Strong analytical and problem-solving skills, with a keen attention to detail. Proficiency in BI tools such as Power BI, Qlik, or Tableau. Solid understanding of More ❯

on technical depth in Python (or R), cloud platforms, and modern ML frameworks. Experience mentoring or leading small, high-performing teams. PhD or equivalent advanced degree in Data Science, Statistics, Computer Science, or related quantitative discipline. Recognized as a technical thought leader through publications, external talks, or open-source contributions. Preferred Experience: Experience using Palantir platforms (Foundry, AIP, Ontology) to 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 ❯

Power BI, or similar tools is an advantage. Ability to communicate complex findings clearly and concisely. Well-organised with strong problem-solving and time management skills. Degree in Mathematics, Statistics, Economics, Computer Science, or a related discipline preferred (not essential). Up to 2 years’ experience in a data-related or analytical role — graduates are welcome to apply. What’s More ❯

and transformer architectures to create intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis - to extract valuable insights from data. Be the driving force behind our data visualisation efforts - whether its Tableau, Power BI, or 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 ❯

you which is why we offer flexible working. Bring your energy. Play to your strengths. Make things bigger and better than before. About You: BSc, MSc, or PhD in Statistics, Mathematics, Computer Science, or a related field. 4+ years of experience in Data Science, with a focus on personalisation or recommendation systems. Proven leadership experience with the ability to guide 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 ❯

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 ❯

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 ❯

space (preferably in a consulting context) with at least 2 years at a senior leadership level University degree 2.1 or higher (or equivalent) in Computer Science/Mathematics/Statistics or equivalent. Proven track record in winning and delivering large, complex, data-led engagements. Demonstrable ability to own client relationships, originate work, and grow revenue. Deep understanding of the full More ❯