76 to 100 of 322 Statistics Jobs in the UK

models Skills and Experience Experience in data science, machine learning development or validation, or a quantitative role in financial services or regulated industries Strong academic background in data science, statistics, mathematics, computer science, or a related field Solid analytical and problem-solving skills with the ability to assess surveillance systems Familiarity with configuring, tuning, or validating third-party trade surveillance More ❯

BI, Tableau, or similar tools. Manage relationships with external lead generation partners. Collaborate with cross-functional teams to deliver data-driven solutions. Profile Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential) 3+ years' experience in the Financial Services Industry (Essential) Proficiency in Excel (Essential) Proficiency in Python, SQL or other programming languages (Essential) Ability to communicate 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 ❯

problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or More ❯

technical foundations, problem-solving abilities, and a hunger to grow in the ML space. Essential: A recent graduate (or soon-to-be) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. More ❯

technical foundations, problem-solving abilities, and a hunger to grow in the ML space. Essential: A recent graduate (or soon-to-be) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. More ❯

and operations. Collaborate with product and other teams to promote the achievement of business goals. What you'll Need to Succeed Bachelor's or Master's degree in Mathematics, Statistics, Econometrics, Computer Science, or a related field. 1-3 years of data analysis experience with proficiency in SQL and at least one scripting language (e.g., Python). Strong sensitivity to More ❯

technical foundations, problem-solving abilities, and a hunger to grow in the ML space. Essential: A recent graduate (or soon-to-be) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. More ❯

technical foundations, problem-solving abilities, and a hunger to grow in the ML space. Essential: A recent graduate (or soon-to-be) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. More ❯

technical foundations, problem-solving abilities, and a hunger to grow in the ML space. Essential: A recent graduate (or soon-to-be) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. More ❯

technical foundations, problem-solving abilities, and a hunger to grow in the ML space. Essential: A recent graduate (or soon-to-be) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. More ❯

and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems Preferred qualifications, capabilities, and skills • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development • Knowledge in search/ranking, Reinforcement Learning or Meta Learning • Experience with A/B More ❯

You: Foundational understanding of derivatives pricing, risk, and exposure calculation concepts. Experience with working on Python, C++, and TypeScript/JavaScript. Solid academic background in computer science, mathematical finance, statistics, or a highly quantitative field. Good understanding of probability theory and stochastic calculus. Familiarity with Numerical Analysis and Monte Carlo methods. Experience developing software, preferably in Windows or Linux environments. More ❯

Looker, PowerBI). Collaborative mindset: Works well in cross-functional environments and contributes to team delivery. Education & Experience: You have a degree in a quantitative field such as Mathematics, Statistics, Engineering, or Supply Chain, and 2–4 years of experience in a data or analytics role—preferably in supply chain, retail operations, or forecasting. Benefits Wellbeing & Lifestyle Benefits Health Cash More ❯

new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python. Spark and SQL Experience implementing and validating a range of machine learning and optimization techniques Effective scientific More ❯

UK The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning More ❯

health inequalities Substantial experience working at a senior level involving data analysis and modelling in healthcare settings Experienced leader Have specialist thorough knowledge of the principles of mathematics and statistics Must demonstrate knowledge of the current health system within Gwent, the aims and aspirations of the Health Board and current national health policy Knowledge of the Public Health agenda Knowledge More ❯

we may close this advert early if we receive an exceptionally high volume of applications. We are seeking an experienced data analyst with an excellent understanding of mathematics and statistics to join our team delivering transformation at pace across Moorfields. The ideal candidate will have a degree in a numerate discipline or equivalent experience, exceptional communication skills, and the passion More ❯

Receive mentorship from experienced professionals in data analytics Who You Are: A recent graduate, career switcher, or early-career professional Studying or have completed a degree in data science, statistics, computer science, or a related field Comfortable with data tools such as Excel, SQL, or Python (beginner level welcome) Eager to learn, grow, and gain practical experience in a real More ❯

Receive mentorship from experienced professionals in data analytics Who You Are: A recent graduate, career switcher, or early-career professional Studying or have completed a degree in data science, statistics, computer science, or a related field Comfortable with data tools such as Excel, SQL, or Python (beginner level welcome) Eager to learn, grow, and gain practical experience in a real More ❯

translating business requirements into technical specifications and vice versa. Work with Sales Leadership on performance coaching insights, rep enablement, and quarterly business reviews. Bachelor's degree in Business Analytics, Statistics, Economics, or related field (Master's a plus) or equivalent work based experienceExtensive experience in BI, Sales Analytics, or Revenue Operations, with experience operating in a lead or senior role.Expertise More ❯

in analytics engineering and contribute to the growth of Lenstra’s analytics capabilities. Skills needed for the role Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field. 4+ years of experience in data engineering, analytics engineering, or a related field. Excellent analytical and problem-solving skills, with the ability to work on complex and More ❯

in analytics engineering and contribute to the growth of Lenstra’s analytics capabilities. Skills needed for the role Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field. 4+ years of experience in data engineering, analytics engineering, or a related field. Excellent analytical and problem-solving skills, with the ability to work on complex and More ❯

in analytics engineering and contribute to the growth of Lenstra’s analytics capabilities. Skills needed for the role Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field. 4+ years of experience in data engineering, analytics engineering, or a related field. Excellent analytical and problem-solving skills, with the ability to work on complex and More ❯

in analytics engineering and contribute to the growth of Lenstra’s analytics capabilities. Skills needed for the role Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field. 4+ years of experience in data engineering, analytics engineering, or a related field. Excellent analytical and problem-solving skills, with the ability to work on complex and More ❯