1 to 25 of 461 Statistics Jobs in London

documentation and compliance with regulations like GDPR. - Communicate complex data findings through clear reports and visualisations. What we're looking for Qualifications & Experience Degree in computer science, data science, statistics, mathematics, or a related quantitative field. (Masters or PHD preferred) 2+ years of experience in data science roles, with a track record of delivering data science projects. Experience with cloud More ❯

analytics solutions and models and refine based on business needs or new data availability. Qualifications we seek in you! Minimum Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. 8+ years of relevant experience in data analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong More ❯

analytics solutions and models and refine based on business needs or new data availability. Qualifications we seek in you! Minimum Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. 8+ years of relevant experience in data analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong More ❯

analytics solutions and models and refine based on business needs or new data availability. Qualifications we seek in you! Minimum Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. 8+ years of relevant experience in data analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong More ❯

analytics solutions and models and refine based on business needs or new data availability. Qualifications we seek in you! Minimum Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. 8+ years of relevant experience in data analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong More ❯

to the highest standards, takes responsibility. Works well in a fast-paced football environment. Skills & Experience Education & Background: Master's or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Computer Science, Data Science, or related fields. Experienced in data science, machine learning and football analytics. Technical Skills: Strong experience with tracking data model development. Proficiency in Python and SQL More ❯

Drive significant technology initiatives end-to-end and across multiple layers of data and analytics engineering What we are looking for: Essential Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative field. PhD is a plus Proven proficiency with SQL and Python for data extraction, analysis, and modelling Strong understanding of machine learning algorithms, predictive modelling, and More ❯

experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands More ❯

experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands More ❯

goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive More ❯

goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive More ❯

goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive More ❯

goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive More ❯

analytical and problem-solving skills, with a keen eye for detail. Effective written and verbal communication skills to share insights with diverse audiences. A degree in Data Science, Computing, Statistics, Economics, or a related field is preferred. This is a great opportunity to grow your analytical skills and gain hands-on experience in a data-driven environment. If you're More ❯

data governance practices, ensuring data quality and acting as a key data stakeholder Document data sources, definitions, and methodologies Required Qualifications Technical Skills Bachelor's degree in Data Science, Statistics, Mathematics, Economics, or related field Demonstrable experience in data analysis, business intelligence, or a related role Proficiency in SQL and querying from a variety of data sources (databases, data warehouses More ❯

sectors such as financial services, healthcare, or public sector is desirable. Preferred technical and professional experience PhD or equivalent experience is a plus (preferable in Data Science, Computer Science, Statistics, or a related field.) Certifications in cloud platforms or data science tools (e.g., IBM Data Science Professional Certificate) are advantageous. Experience with data engineering tools and MLOps practices is a More ❯

of AI concepts, including supervised and unsupervised learning. Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure) Education and Knowledge Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field Profile and Skills Comfortable in fast-paced, entrepreneurial environment Strong communication and teamwork abilities. Ability to deliver individually and as well as a part More ❯

solving skills are critical. Presentation skills for explaining complex analytics solutions to diverse audiences. Qualifications: Necessary Qualifications include: Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Mathematics) or equivalent combination of education and relevant work experience. Master's degree preferred. Why QBE? At My Best At QBE, we want our people to feel rewarded and inspired More ❯

Curious, collaborative, and proactive in driving change Qualifications 7+ years in data science or analytics with a strong focus on customer behavior MSc or PhD in a quantitative field (Statistics, Data Science, Computer Science, Applied Math) Proven track record of creating measurable business value through customer-focused models and analytics Experience working in B2C, e-commerce, subscription, retail, or fintech More ❯

of whether they meet all qualifications, to apply. While the following qualifications are relevant to our work, they are not strict requirements: BS or MS degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in machine learning, statistical modeling (5+ years) Proficiency in programming languages such as Python or R. Experience with SQL and working with More ❯

Curious, collaborative, and proactive in driving change Qualifications 7+ years in data science or analytics with a strong focus on customer behavior MSc or PhD in a quantitative field (Statistics, Data Science, Computer Science, Applied Math) Proven track record of creating measurable business value through customer-focused models and analytics Experience working in B2C, e-commerce, subscription, retail, or fintech More ❯

own decisions on how issues should be resolved and how results are best achieved, implementing those decisions as appropriate Knowledge of machine learning techniques, simulation, optimisation and advanced multivariate statistics Proficiency in one or more computer programming language (preference for R, or Python) Excellent interpersonal skills, including ability to negotiate and persuade Confidence in adapting to new software and programming More ❯

Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). Experience with application of optimization theory or reinforcement learning based on automated A/B More ❯

monitor and ensure data quality and operational performance. Desired Requirements Bachelor's degree in Data Science, Computer Science, or a related field. D. 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 ❯

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 ❯