76 to 100 of 279 Statistics Jobs in London

functional environment. Preferred Qualifications: Familiarity with common statistical methods and applications (A/B testing, probability, regression) Experience with Python or R. Majoring in statistics or data science is preferred; Job Information About TikTok TikTok is the leading destination for short-form mobile video. At TikTok, our mission ...

approaches, and commercial strategies. Proficiency with analytical tools including: Data visualisation (Looker) SQL (our stack is based around BigQuery) Coding (Python, Github) Knowledge of statistics and experiment design. The interview journey: TA screening - 30 mins 1st stage with Head of Pricing & Revenue Management - 45 mins 2nd stage with key stakeholders ...

approaches, and commercial strategies. Proficiency with analytical tools including: Data visualisation (Looker) SQL (our stack is based around BigQuery) Coding (Python, Github) Knowledge of statistics and experiment design. The interview journey: TA screening - 30 mins 1st stage with Head of Pricing & Revenue Management - 45 mins 2nd stage with key stakeholders ...

Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role‐specific outcomes within 3 months of hire Can travel ...

enterprise‐wide initiatives Strong communicator able to explain complex methodologies to senior stakeholders, auditors and regulators Skills Quantitative methods: regression, classification, clustering, machine learning, statistics Large‐scale data sets (structured or unstructured) Building user‐facing applications over large data volumes (React, Angular, JavaScript) Process improvements and automation High intellectual curiosity ...

scale datasets to extract precise, detailed market insights. Advanced experience using Microsoft Excel for complex data modelling and reporting. An educational background in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field. Exceptional communication skills demonstrated by the ability to translate complex statistical data into clear, actionable business strategies ...

with SQL/large datasets/AI tools and the aptitude and willingness to learn BA/BS or equivalent qualification. Major in finance, statistics, quantitative economics or another degree emphasising data analysis preferred Bonus points if you have: Familiarity with BI & Sales tools such as Nexus, Claude, Gemini, Tableau ...

clients use Python, R or similar tools in research and data-engineering workflows. A bachelor’s degree or equivalent professional experience in economics, finance, statistics, mathematics, computer science, business or a related discipline. Python proficiency is valuable but is not the principal requirement for this leadership role. The candidate should ...

conception to delivery while aligning with business objectives. · Have an advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading ...

have a view on where it helps and where it doesn’t. The requirements Essential: Statistical foundations . Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision-making under uncertainty. Causal inference . Experience separating signal from noise in observational ...

quality, consistency and efficiency of measurement. Communicate analytical findings and recommendations clearly to technical and non-technical stakeholders. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Contribute to a culture of evidence-based decision-making by sharing knowledge … collaborating across teams and promoting analytical best practices. What We’re Looking For: Required: Master’s degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related ...

making by educating stakeholders, sharing best practices, and communicating advances in experimentation, causal inference and applied data science. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Represent the team across PlayStation, building strong partnerships, engaging senior stakeholders … promoting technical excellence in data science and experimentation. What We're Looking For: Required: Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science ...

marketing, ecommerce, loyalty, or subscription environments Advanced Python and SQL skills Experience building predictive models and deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks and ML lifecycle tools is beneficial ...

support to analysts and key stakeholders. You will need to have the following: A PhD or equivalent advanced qualification in Machine Learning, Data Science, Statistics, Mathematics or another quantitative discipline. Experience building and deploying production-grade machine learning models, with a solid understanding of MLOps, Git and CI/ ...

modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience. Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University. Expert in Python (KDB/Q is a plus). Demonstrated knowledge of quantitative finance, mathematical modelling, statistical ...

Strong background in machine learning. Strong programming skills in Python or C++. Bachelor’s degree in a technical field such as computer science, mathematics, statistics or equivalent engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related deep learning ...

industry presentations and research publications Skills/Must Have Strong quantitative background with excellent analytical and problem-solving skills Python programming experience Understanding of statistics and experimental design Experience working with data science or machine learning workflows Interest in LLMs, generative AI and agentic systems Ability to analyse data ...

experience in model validation or front office in an area of electronic trading (either agency or market making) Excellence in probability theory, stochastic processes, statistics, and numerical analysis. Strong understanding of option pricing theory and quantitative models for derivatives. Excellent communication skills (written and verbal) Risk and control-oriented mindset ...

complex concepts. Willingness to work independently and in an energetic, fast‐paced, team‐oriented environment. BS or BA degree in computer science, math, physics, statistics, or a related field. Experience in a relevant financial domain is a plus. Equal Opportunity Employer Wellington Management is an equal‐opportunity employer. All qualified ...

team leadership skills: mentoring, cross‐functional collaboration, driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting ...

Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit‐learn. Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus. Collaborative, humble and enthusiastic attitude. Preferred Qualifications, Capabilities and Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc. ...

across illiquid mortgage credit, including collateral analysis, recovery assumptions and structural waterfalls**REQUIREMENTS*** Masters degree or PhD in Mathematics, Physics (non-experimental), Probability/Statistics, Engineering, or (Mathematical) Finance* Must have a familiarity with mortgage products, Intex and data analysis or empirical modelling is a strong plus alongside asset-backed ...

production execution Review research reports and articles that examine recent developments in the energy markets Qualifications: Pursuing Bachelors or Masters in Mathematics, Engineering, Finance, Statistics, Business, Economics, Energy, Computer Science, Physics or a related field of study Expected graduation date in 2028 Prior internship/exposure to the commodities markets ...

partners and internal departments including Engineering, Product and Sales on strategic product development and execution Define, measure and manage impact of your work using statistics and data visualization tools Build quality data workflows to verify and validate third party data Communicate with impact, ensuring relevant information is articulated ...

Communicate findings clearly, turning complex analysis into actionable insights for technical and non-technical audiences Qualifications Skills we're looking for: Strong grounding in statistics and quantitative methods, supported by relevant academic or professional experience Hands-on experience applying experimental design and causal inference techniques to real-world data Understanding ...