1 to 25 of 389 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 ❯

/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 ❯

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 ❯

Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning architectures (e.g., attention models More ❯

Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning architectures (e.g., attention models More ❯

Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning architectures (e.g., attention models More ❯

Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning architectures (e.g., attention models More ❯

Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning architectures (e.g., attention models More ❯

Create user documentation and training materials Conduct basic training sessions for end users Required Qualifications: The ideal candidate will hold a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field, though we will consider candidates with an equivalent combination of education and relevant experience. From a technical standpoint, candidates must demonstrate strong proficiency More ❯

Create user documentation and training materials Conduct basic training sessions for end users Required Qualifications: The ideal candidate will hold a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field, though we will consider candidates with an equivalent combination of education and relevant experience. From a technical standpoint, candidates must demonstrate strong proficiency More ❯

Create user documentation and training materials Conduct basic training sessions for end users Required Qualifications: The ideal candidate will hold a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field, though we will consider candidates with an equivalent combination of education and relevant experience. From a technical standpoint, candidates must demonstrate strong proficiency More ❯

Create user documentation and training materials Conduct basic training sessions for end users Required Qualifications: The ideal candidate will hold a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field, though we will consider candidates with an equivalent combination of education and relevant experience. From a technical standpoint, candidates must demonstrate strong proficiency More ❯

Create user documentation and training materials Conduct basic training sessions for end users Required Qualifications: The ideal candidate will hold a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field, though we will consider candidates with an equivalent combination of education and relevant experience. From a technical standpoint, candidates must demonstrate strong proficiency More ❯

to monitor and ensure data quality and operational performance. Qualifications Bachelor's degree in Data Science, Computer Science, or a related field. Doctorate in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. A "full stack" data scientist - with extensive expertise of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in More ❯

storytelling skills, with the ability to influence at senior levels. A strategic mindset, with a proactive, solutions-focused approach. A degree (Bachelor's or Master's) in Data Science, Statistics, Computer Science, Business Administration, or a related field. (Desirable) Experience within SaaS, machine learning, or AI environments. The Perks 25 Days Holiday, increasing 1 day per year with service (up More ❯

storytelling skills, with the ability to influence at senior levels. A strategic mindset, with a proactive, solutions-focused approach. A degree (Bachelor's or Master's) in Data Science, Statistics, Computer Science, Business Administration, or a related field. (Desirable) Experience within SaaS, machine learning, or AI environments. The Perks 25 Days Holiday, increasing 1 day per year with service (up 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 ❯

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 ❯

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 ❯

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 ❯

excellence and experimentation, and invest in the long-term growth and development of your team. You Have: Master's degree in a quantitative or computational discipline such as Mathematics, Statistics, Computer Science, or Engineering. 10+ years of experience in Analytics, Data Science, or a related field, with a demonstrated ability to drive strategic insights and measurable business outcomes at scale. More ❯

AI/ML and proactively identify opportunities to apply them within the organization. Qualifications & Experience (Required) Education: Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or Engineering. Experience: 5+ years of professional experience as a Data Scientist, with a proven track record of building and deploying ML models in a financial services environment More ❯

delivery A curious nature, with the drive to learn and master new tech and methods Ideally have gained a bachelors or masters degree in a relevant field such as Statistics, Economics, Mathematics of Business Analytics Saga Values: Make it Happen, Do the Right Thing, Customer First, Excellence Every Day, Our People Make Us Special About The Company Over the past More ❯

bachelors or masters program. We love folks with varied coursework, but you must possess an analytical mindset, passion for business, and a desire to innovate. Computer Science, Data Science, Statistics, Mathematics, Engineering majors, a plus. Experience with Python, SQL, and Excel; familiarity with machine learning libraries. A history of tackling projects with a quantitative lens, and a desire for data More ❯

bachelors or masters program. We love folks with varied coursework, but you must possess an analytical mindset, passion for business, and a desire to innovate. Computer Science, Data Science, Statistics, Mathematics, Engineering majors, a plus. Experience with Python, SQL, and Excel; familiarity with machine learning libraries. A history of tackling projects with a quantitative lens, and a desire for data More ❯