26 to 50 of 84 Statistics Jobs in London

product teams. Help elevate the team's understanding of retrieval performance and measurement frameworks. Required qualifications Master's or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience) Significant experience in data analysis, business intelligence, or analytics roles Proficiency in SQL and Python … e.g., NDCG, recall, precision, ranking metrics) Proven ability to translate complex data into actionable insights and influence decisions Preferred qualifications PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience) Experience working on search, ranking, or recommendation systems Familiarity with information retrieval concepts (e.g., indexing ...

data science and machine learning Expert‐level Python programming with a focus on implementing diverse statistical and ML techniques Deep theoretical foundation in statistics, experimental design, and advanced modelling Proven track record of deploying end‐to‐end data science solutions into production Leadership and mentorship capabilities to elevate team performance ...

highly collaborative teams. Motivated by complex analytical problems; curious, hardworking, detail‐oriented. Preferred Qualifications, Capabilities, and Skills Strong background in Mathematics and Statistics and familiarity with financial services industry and continuous integration models and unit test development. Knowledge of graph integration with LLM, reinforcement learning or meta‐learning. Experience with ...

SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software and optimisation tools. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. Excellent communication skills to convey complex technical concepts to technical and non-technical audiences. A passion for innovation, continuous ...

observability, etc. Experience monitoring, maintaining, enhancing existing models over an extended time period. Specialism in NLP or Computer Vision. Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders, etc.). Extensive experience with PyTorch, NumPy, Pandas. Hands‐on experience ...

concepts and results. 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 ...

shaped by, future Graphcore hardware and software systems. About you Essential: Master’s, PhD or equivalent experience in a technical discipline (e.g., Mathematics, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering). Experience in visual generative AI, visual understanding or world models. Strong Python programming skills using a modern deep learning ...

roadmap for product analytics, business analytics, and marketing measurement. Build and lead a multidisciplinary team of product, marketing, and business analysts plus experiment and statistics leaders. Own the end-to-end experimentation practice: hypothesis, design, instrumentation, monitoring, analysis, and rollout. Lead marketing measurement and optimization: attribution, incrementality and holdout tests ...

issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills — with teams and customers alike. PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: operator learning (neural operators), or other probabilistic methods for PDEs ...

agile delivery organisation. Why you? Basic Qualifications & Skills We are looking for professionals with these required skills to achieve our goals: Degree in Mathematics, Statistics, Computer Science, or a related subject, or equivalent practical experience. Programming experience in a pharmaceutical, biotechnology, CRO industry, having worked in reporting clinical trials using ...

issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills – with teams and customers alike. PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: operator learning (neural operators), or other probabilistic methods for PDEs ...

measures Solid understanding of data modelling techniques such as star and snowflake schemas Experience working with ETL processes and data integration Confidence applying descriptive statistics and analytical techniques Strong background in requirements gathering and stakeholder engagement Experience creating and maintaining data dictionaries, business glossaries and metadata documentation Comfortable working ...

contributing to internal knowledge sharing. What You'll Need: To excel in this role, you should possess: A solid foundation in machine learning, statistics, and programming. Intellectual curiosity and critical thinking skills, with a scientific mindset that drives business impact. Proven ability to translate complex business problems into clear data ...

contributing to internal knowledge sharing. What You'll Need:To excel in this role, you should possess: A solid foundation in machine learning, statistics, and programming. Intellectual curiosity and critical thinking skills, with a scientific mindset that drives business impact. Proven ability to translate complex business problems into clear data ...

test hypotheses, not just ship features. Experience in financial markets, algo-trading, or prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda ...

business acumen. Strengths in verbal and written communication, building and delivering presentations, and storytelling Expertise and comfort working with quantitative and qualitative data (basic statistics, examining patterns, developing recommendations based on data). Agility and comfort with ambiguity to adapt and adjust to the market, the state of the organization ...

your work and translate complex ideas into simple insights. Strong Python skills, with the ability to write clean, production-quality code Solid grounding in statistics (not just surface-level understanding) Experience with machine learning, including classical models and some modern NLP approaches Experience building models that are actually used ...

your work and translate complex ideas into simple insights. Strong Python skills, with the ability to write clean, production-quality code Solid grounding in statistics (not just surface-level understanding) Experience with machine learning, including classical models and some modern NLP approaches Experience building models that are actually used ...

similarly complex multi-site service organisations Exposure to AI, machine learning, or predictive analytics initiatives delivered at scale Academic background in data science, mathematics, statistics, or a related quantitative discipline ...

Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating ...

such as HuggingFace, Langchain, and OpenAI. Hands‐on experience working with Distributed Spark based systems. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience. Experience communicating and teaching technical concepts to non‐technical and technical audiences alike. Passion for collaboration, life‐long ...

databases, machine learning, and serverless technologies - Experience building large-scale machine learning and AI solutions at Internet scale PREFERRED QUALIFICATIONS - PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or experience working with or evaluating AI systems - Experience in data applications using large scale distributed systems ...

analysis and problem solving abilities You're collaborative with great communication skills You achieved a 2.1 or above at BSc in Computer Science, Mathematics, Statistics What's in it for you: As a Quantitative Developer you will earn a competitive package: Salary to £175k base Bonuses of multiple base salary ...

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 ...

products - from problem framing and experimentation through to globally deployed, production‐grade solutions Published papers in top conferences in ML/Statistics/Maths/compsci. Experience with pre‐training or continued pre‐training of large language models, including data curation, curriculum design, and training stability at scale Expertise ...