1 to 25 of 165 Statistics Jobs in the UK

integrity principles Some other highly valued skills may include: Experience at a large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly More ❯

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 ❯

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 ❯

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 ❯

/ML tools, OTE modeling, or pricing strategy. Certifications: Lean Six Sigma, Power BI, Tableau, or finance/commercial qualifications (CIMA/ACCA). Bachelors degree in Data Science, Statistics, Mathematics, Economics, Business Analytics, or Computer Science. Masters degree or relevant professional certifications are a plus. Why Join Us? Opportunity to influence commercial strategy and decision-making at a high More ❯

lifecycle. Perform other duties and/or special projects as assigned. Qualifications/Requirements: Bachelor's degree in a quantitative or technical discipline (e.g., Data Science, Computer Science, Engineering, Statistics, Operations Research); or in lieu of degree, high school diploma/GED and 14+ years of data analytics leadership experience in financial services, banking, technology, and/or retail industries. More ❯

. Experience with SQL, R, or Python for data analysis. Ability to design automated reporting solutions. Qualifications Essential Degree in a numerate, analytical, or health-related subject (e.g., Mathematics, Statistics, Economics, Informatics, Public Health) or equivalent experience. Desirable Postgraduate qualification in health informatics, data science, or related field. Evidence of continuing professional development (CPD). Disclosure and Barring Service Check More ❯

to make it better Strong analytical and problem-solving abilities with a keen attention to detail. Preferred skills and qualifications of the Data Analyst Bachelors 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 ❯

such as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD What's in it for you? A range of flexible working options to dedicate time to what matters to More ❯

data visualization techniques.- Excellent problem-solving skills and attention to detail.- Ability to communicate complex technical concepts to non-technical audiences.- Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field. 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 ❯

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 ❯

leading high-performing teams. Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. 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 ❯

such as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD What's in it for you? A range of flexible working options to dedicate time to what matters to More ❯

in business intelligence, data science, business administration, economics, or a relevant computer science field. Many employers indicate a preference towards candidates who have a solid foundation in mathematics and statistics, and some will strongly favour candidates with an MBA in business administration. However, master's degrees aren't always required if the candidate holds professional certifications or sufficient work experience. More ❯

DevOps practices including CI/CD, version control, automated testing, and monitoring to support reliable model deployment and maintenance. Education Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or a related field, or equivalent practical experience. What you'll get in return: High-impact projects : Work on innovative AI products that solve complex, high-value challenges More ❯

written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes More ❯

set and continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development support More ❯

principles, including pipelines, databases, and infrastructure; AWS experience is advantageous. Experience with data visualisation, analysis, and cleansing. Familiarity with version control systems, preferably Git. Degree in Computer Science, Mathematics, Statistics, Data Science, or a related field is desirable. Background in engineering, motorsport, or industrial operations is beneficial. Experience with reinforcement learning and control optimisation is desirable. Excellent problem-solving and More ❯

do not need prior experience, but you should have a strong interest in data and a willingness to learn. You will likely have: A degree in Finance, Economics, Mathematics, Statistics, or a related field. Confident Excel skills and strong attention to detail. Curiosity about tools such as Power BI, SQL, Python, or R. An interest in how data influences financial 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 ❯

analysts or data scientists. Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: Advanced programming background with the ability to build simulations 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 ❯