101 to 125 of 322 Statistics Jobs in the UK

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 ❯

problem-solving skills. Proficiency in Python and SQL for data extraction, transformation, and analysis. Expertise in data-driven storage solutions and handling large, complex datasets. Good understanding of classical statistics, with the ability to apply statistical inference and established methods effectively. Strong experience in strategy development, financial analysis, and stakeholder management Advanced communication and presentation skills, with the ability to More ❯

project-related issues Ensuring quality assurance and documentation of all deliverables Navigating internal governance and risk management processes What We're Looking For: Degree in a quantitative discipline (e.g., Statistics, Computer Science, Data Science) or equivalent experience Proven experience working with large datasets and strong attention to detail Deep understanding of Generative AI models and large language models Proficiency in More ❯

to maximise programme impact Contribute to team development, fostering a culture of collaboration and continuous improvement What You Must Have Degree in Computer Science, Data Engineering, Systems Engineering, Mathematics, Statistics, or a related discipline Minimum 5 years of experience in data engineering or analytics roles Hands-on expertise in Palantir Foundry, including development of applications and data pipelines Proven experience More ❯

and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with experience influencing senior leadership Confident communicator, capable of translating complex analytics into actionable insights Collaborative, proactive, and able to work effectively More ❯

and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with experience influencing senior leadership Confident communicator, capable of translating complex analytics into actionable insights Collaborative, proactive, and able to work effectively More ❯

and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with experience influencing senior leadership Confident communicator, capable of translating complex analytics into actionable insights Collaborative, proactive, and able to work effectively More ❯

and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with experience influencing senior leadership Confident communicator, capable of translating complex analytics into actionable insights Collaborative, proactive, and able to work effectively More ❯

and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with experience influencing senior leadership Confident communicator, capable of translating complex analytics into actionable insights Collaborative, proactive, and able to work effectively More ❯

annotation challenges. Stay updated with industry trends in data annotation, finance, and news. Participate actively in project and product coordination when needed. Qualifications: Bachelor's degree or higher in Statistics, Data Analytics, Data Science, or related STEM fields. At least four years of experience in data management concepts like data quality, sampling, and modeling. Experience with data visualization tools like More ❯

Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write More ❯

and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals 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 ❯

technical stakeholders with clarity and impact. Support go to market efforts with technical insights and customer facing engagements. SKILLS Advanced degree (PhD or MSc) in Computer Science, Data Science, Statistics, or related field. Experience with AI governance, model explainability, and regulatory compliance. Familiarity with composable banking platforms and financial services data. Experience working in agile, cross functional teams in a More ❯

as needed. Actively research and identify the latest relevant methods and technologies in the field. What We're Looking For: Basic Required Qualifications: A degree in Computer Science, Mathematics, Statistics, Engineering or a related field. A solid understanding of Machine Learning and Deep Learning methods, along with their mathematical foundations. At least 5 years of professional experience in advanced analytics More ❯

consume data from more sources to provide more holistic observability for our development teams. BASIC QUALIFICATIONS Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for More ❯

a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you Degree in Statistics, Maths, Physics, Economics or similar field 5+ years of experience required Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Stakeholder More ❯

working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field Knowledge of Python or R or other scripting language Experience in building quantitative solutions as a scientist or science manager Experience directly managing scientists More ❯

additional languages. Education: Possess a BSc, MSc, or equivalent degree in one of the following disciplines or related fields: Earth/climate sciences (geology, geophysics, seismology, meteorology, etc.) Mathematics, statistics, physics, engineering, data science Risk management/insurance, actuarial science Responsibilities Moody's is seeking a dynamic and innovative Associate Director to join our Insurance Solutions operating unit as an More ❯

AI engineering and Machine Learning Excellent software engineering skills with a strong knowledge of Python A keen interest and understanding of financial markets and instruments Relevant mathematical knowledge e.g. statistics, optimisation algorithms, linear algebra. Advantageous Experience using GenAI to build agentic, knowledge processing, or automated coding tools Experience training or fine-tuning generative models Experience building tools and technologies within More ❯

elevate the Analytics team and help answer the most difficult business challenges.Key requirements· Experience in the London or Lloyd's insurance markets is essential· Have an Advanced degree in Statistics, Computer Science, Mathematics or a related field or relevant industry industry experience· Have knowledge of programming and data manipulation skills such as SQL and Python, and version control (Github) is More ❯

years of hands-on experience as a Machine Learning Engineer or similar role. Proven track record of designing and deploying machine learning models in production environments. Solid understanding of statistics, data mining, and algorithm design. Experience in collaborating within agile teams to deliver project objectives and meet deadlines. Excellent analytical skills, with the ability to troubleshoot and optimize complex machine More ❯

complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic More ❯

GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self-motivated with More ❯

GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self-motivated with More ❯

high-quality service and building trust Ability to manage multiple projects and priorities effectively in a fast-paced environment Education Qualification in a relevant field (e.g. Web Development, Marketing, Statistics, Business, Mathematics, Computer Science) would be preferable to have but not necessary More ❯