176 to 200 of 464 Statistics Jobs in London

Demonstrated passion for markets Proficiency in a programming language like Python or R Experience using a Unix-like OS Academic or practical familiarity with statistics A skillset in data analysis and visualization Bachelor’s degree in a scientific or quantitative discipline Attention to detail and clarity of thought “Friends ...

data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g. Bayesian statistics, causal inference) to solve complex product problems. Commercial & Risk Mindset: You possess deep commercial fluency, understanding the unit economics of a fintech product ...

improvements. About you: essential 5+ years in applied ML or data science, with models shipped to production. Strong Python, PyTorch or similar, and solid statistics for evaluation. Hands-on NLP and LLM work: fine-tuning, embeddings, classification and LLM-as-judge. Experience measuring fuzzy problems, including labelling, agreement and drift. ...

systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use Education Bachelor's degree in Computer Science, Statistics, Accounting, Finance or a related field Responsibilities Support data improvement initiatives for Structured Finance analytics tools and workflows, from data lineage and taxonomies to cloud ...

independent research, such as publications, a thesis, open-source work or applied research where you owned the original contribution Solid mathematical foundations in statistics, probability and linear algebra Strong Python and PyTorch skills, and experience running experiments end-to-end A genuine interest in data-centric AI: curation, evaluation ...

ambiguity and adapting to changing priorities Curiosity and willingness to learn new concepts and technologies Education Currently pursuing a degree in Data Science, Engineering, Statistics, Mathematics, Physics, Computing or Information Systems, or a related field Graduation date of December 2027 – June 2028 Ability to work full-time during the program ...

design and implement production software in modern C++ and Python, including object-oriented design principles and production-quality development practices. Hands-on experience applying statistics, probability theory, and mathematical techniques to evaluate and model the behaviour of complex derivative products, including FX Options. Familiarity with market data concepts and their ...

directing the business/function, taking significant decisions and driving a performance culture KEY REQUIREMENTS: Degree in a quantitative field such as mathematics, statistics or data science. Experience of successfully leading complex AI projects within the public sector, including project management and commercial activities. Experience of mentoring and managing technical ...

reliable queries to transform large complex datasets) You have experience building and owning automated data pipelines with tools like DBT/Airflow Experimentation & Statistics: Experience running A/B tests and analysing the results to drive product decisions Ownership: You enjoy working independently in a fast-paced environment: Identifying impactful ...

learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration ...

feeding insights back into platform development, and ensuring a high-quality user experience. Qualification and Experience Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field. 3–7 years’ experience in a front-office quant, strategist, or quantitative research role, ideally with exposure ...

Software Engineering, or an adjacent field.• Technical Foundation: Fluency in Python, Java, or similar programming languages.• Analytical Rigor: Strong foundation in mathematics, specifically: probability, statistics, hypothesis testing.• ML Knowledge: Practical understanding of machine learning fundamentals (classification, regression, clustering, ranking, NLP, or LLMs).• Data & ML Ecosystem: Familiarity with data processing ...

reliable queries to transform large complex datasets) You have experience building and owning automated data pipelines with tools like DBT/Airflow Experimentation & Statistics: Experience running A/B tests and analysing the results to drive product decisions Ownership: You enjoy working independently in a fast-paced environment: Identifying impactful ...

case studies and reference materials highlighting successful customer outcomes on AWS Basic Qualifications Bachelor's degree, or MBA in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Speak, write, and read fluently in English 15+ years of direct sales experience in software, cloud or SaaS markets, with proven success ...

success through personal projects, professional projects or academia. Nice to have Ex-founder or builder PhD/Master in a relevant field (Machine Learning, Statistics, Applied Mathematics, Physics). Exceptional candidates from other backgrounds welcome. Research on time-series foundation models: pre-training, scaling, synthetic data or evaluation. Hands ...

lead to success Quantitative foundation: Bachelor’s degree or equivalent experience in an analytical discipline such as actuarial science, engineering, mathematical finance, mathematics, physics, statistics or computer science. Relevant experience: More than 8 years of experience in quantitative analysis, actuarial modelling, data science, financial modelling, technical consulting, solutions engineering ...

insurance, or other regulated industries is a strong plus Required Education: BSc in computer or data science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience Technical Skills: Strong knowledge of distributed data processing (Spark, PySpark, SQL) Expertise in data governance, metadata management, lineage ...

your skills, interests, and experience. Currently enrolled in a Bachelor's or Master's degree in Product Management, Computer Science, Engineering, Data Science, Mathematics, Statistics or a related technical field in the EMEA region. Relevant practical or internship experience, or relevant teaching assistant experience in software development, product management ...

5+ years as a data scientist or in a similar applied ML role, with models you've taken to production and kept working. Statistics and experimentation: hypothesis testing, A/B testing, power and sample sizing. Classical ML: classification and ranking with scikit-learn and XGBoost or LightGBM, evaluated rigorously ...

threat research, ML techniques, and cybersecurity trends to enhance the organization’s capabilities. Other Embody our Culture and Values QualificationsBachelor's Degree in Statistics, Mathematics, Computer Science or related field and in-depth experience in software development lifecycle, large-scale computing, modelling, cybersecurity, and/or anomaly detection. Proven experience ...

LLMs. You proactively research and explore areas of innovation in our industry. You can identify the value for innovation within the organisation. Applied maths, statistics and scientific practices. You understand and can help teams apply a range of practices. You know how to develop deeper expertise on a narrower range ...

programming languages, particularly R or C++. A PhD or postgraduate degree in a scientific field, ideally genomics, bioinformatics or computational biology, with familiarity in statistics and machine learning. Prior experience working in a team, ideally in an industry setting. Your Package We are committed to providing a transparent, supportive ...

software engineering practice — typing, testing, CI/CD, code review, and designing maintainable systems that others can build on. A strong data science foundation: statistics, experiment design and causal inference, applied to ambiguous, real-world problems. A track record of leading technical work across teams, taking projects from idea ...

understanding of model evaluation, explainability, and monitoring in high-risk environments. What we’re looking for – Education: Advanced degree (Master’s or PhD) in Statistics, Mathematics, Data Science, AI/ML, or a related field. PhD or equivalent advanced industry experience preferred. A snippet of what ...

MLOps, rigorous A/B testing, data privacy, and code quality.Skills & Experience:Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field.Experience: 10+ years of industry experience developing and deploying large-scale ML models in a production environment, with a proven track record ...