1 to 25 of 28 Statistics Jobs in the City of London

technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills Degree in a STEM field. PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas. Bachelor’s/Master’s: 1–2 years of industry experience or relevant internships in ML, software engineering ...

Scikit-learn Degree in computer science, data science, maths, engineering or similar Strong understanding of machine learning models and model appropriateness, probability and statistics Strong SQL skills essential , Git version control essential Visualisation; PowerBI desirable or alternatively experience with other tools (e.g. Tableau, Qlik, etc) and willingness and ability ...

innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. ...

experience , including 8+ years of hands-on experience in machine learning and data science Advanced degree (Master’s or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline Proven experience building and deploying advanced ML and deep learning models in enterprise environments Deep understanding of algorithm selection ...

data science methodologies and technologies to benefit team objectives. What We’re Looking For: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment ...

Tableau, cloud platforms (ideally DataBricks), Git, and other analytics tools that support collaborative development and efficient data pipelines. Relevant degree or equivalent (e.g. statistics, mathematics etc). Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants. ...

learning, graph neural networks, generative AI, and retrievalaugmented system. Required Skills and Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field. More than five years of advanced data science/AI engineering experience in industry. Proven experience delivering full-cycle ...

deadlines with support from the team, taking on greater ownership as skills develop Skills and Experience Quantitative Foundation: A strong academic background in Mathematics, Statistics, Computer Science, or a related quantitative field, with a deep understanding of statistical significance, hypothesis testing, and experimental design (A/B testing). Core ...

research into real-world applications. Skilled in explaining technical findings to business audiences in clear, concise English. Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s preferred. Please note, this role cannot offer sponsorship. ...

including libraries such as Pandas, NumPy and scikit-learn. Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding in statistics and probability, with strong mathematical foundations (calculus and linear algebra highly advantageous). Experience working across the full data science project lifecycle. A pragmatic, engineering ...

policy decisions, research and analysis. ONE Data works with complex, fragmented public finance and development datasets, from aid flows and budget data to debt statistics and policy indicators. The Data Engineer designs the pipelines, models, and quality frameworks that transform these disparate sources into trusted, interoperable data that researchers, policymakers ...

ability to communicate uncertainty intervals credibly to non-technical stakeholders is as important as computing them correctly. Feature Engineering at Scale. Lag features, rolling statistics, Fourier transforms for seasonality decomposition, target encoding with temporal leakage guards, embeddings for categorical market variables. You understand that the quality of your features usually ...

teams to ensure data quality, accessibility, and scalability across the organisation. What We’re Looking For Strong analytical foundation with experience applying statistics and data science in a commercial setting. Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value. Proficiency in Python (Pandas, NumPy ...

/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack. 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 5+ years of engineering ...

reliability in a live trading environment. Ideal candidates have strong programming skills in Python and SQL, a background in a quantitative field such as statistics, computer science, or financial engineering, and an interest in working with large datasets in a research-driven environment. Experience with tools such as AWS, Linux ...

primary liaison with regulators; ensure cross-border consistency and global-local alignment. What we’re looking for: Bachelor’s degree or above in Statistics, Mathematics, Computer Science, Finance, or a related discipline. 7- 10 years of experience in AML and financial crime compliance, including 3-5 years in a leadership ...

agenda, ensure research excellence,best practice and technical guidance, managing a team of researchers. About you: PhD in STEM field (Computer Science, Mathematics, Physics, Statistics etc) Experience leading research agenda/projects Experience managing/mentoring researchers Established publication record in top conferences (e.g. NeurIPS, ICML). Other Info: Compensation ...

scale at a ferocious pace = RAPID career growth for you. Experience required Educated to at least degree level in a relevant subject; Mathematics, Statistics, Machine Learning, Engineering, Science etc. 4+ years in AI/ML engineering with a foundation in software engineering OR a recent move from pure software engineering ...

development of data-driven features, predictive models, and business insights that drive product improvement. Key Responsibilities: Advanced Analytics & Machine Learning Apply expertise in statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to identify patterns, opportunities, and business questions. Design, develop, and evaluate predictive models and algorithms to maximise … large datasets in production or research environments. Education & Experience Master of Science (MSc) in Computer Science or a related quantitative field (e.g., Data Science, Statistics, Mathematics, Engineering). Who Will Succeed in This Role? This role is ideal for someone who: Thrives on exploring complex data problems. Is comfortable working ...

push reliable datasets into production and reduce manual effort What We’re Looking For: MSc completed in a quantitative discipline (e.g., Data Science, Statistics, Mathematics, Computer Science, Physics, Econometrics, OR) 0–3 years professional experience post-Master’s in a data analyst/analytics role (internships/placements welcome … Power BI, Tableau, or Looker (building and maintaining stakeholder-facing dashboards) Solid understanding of analytics fundamentals: data cleaning, joining/aggregation logic, basic statistics, and QA approaches Comfort working in a fast-paced environment with a mix of BAU and project-based work Clear communication skills and a proactive, process ...

guidance through code reviews, design discussions, and knowledge sharing Drive adoption of AI best practices Experience & Qualifications: Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or related quantitative field, or equivalent industry experience 6+ years (Master’s) or 4+ years (PhD) of hands-on experience applying … tree-based methods, generalised linear models, and/or deep learning, with strength in feature engineering, regularisation, calibration, and error analysis Strong experimentation and statistics skills : designing and interpreting A/B tests, understanding bias/variance and statistical power, and applying causal inference techniques (e.g., diff-in-diff ...

AWS Data Engineer (Innovation Group) Location: London (Hybrid – 3 days per week) Duration: 6 Months Initial Contract Rate: TBD Are you a Data Engineer who thrives on building more than just standard ETL pipelines? Our ...

people and aircraft moving efficiently in one of the most operationally complex industries in the world. What You’ll Do Build and deploy applied statistics, machine learning and optimisation models that support mission‐critical operational decisions. Work closely with data engineers, understanding their workflows and collaborating to take models from … better working hours than typical consulting—while still delivering meaningful change. What We’re Looking For Technical Expertise Degree or Master’s in Maths, Statistics, Data Science, Operational Research, or similar fields. Strong applied statistics background. Experience working with messy or complex datasets Hands‐on exposure to integer programming ...

analytics into actionable business insight Engage and collaborate with stakeholders across multiple business functions globally Candidate Profile Hold a Master’s or PhD in Statistics, Data Science, AI, or a STEM discipline (mathematics, statistics, physics, engineering, chemistry) Have 2+ years’ demonstrable experience applying data science and AI in an industrial ...

doing: Lead end-to-end data science projects : problem framing, EDA, modelling, experimentation, and working with MLEs to deploy into production Apply statistics, A/B testing and causal inference to inform product, growth, commercial and risk decisions Work with diverse structured and unstructured data across client behaviour, operations … delivery and communication What we’re looking for: 5+ years’ experience applying data science and ML to real-world business problems Strong grounding in statistics, experimentation and analytical reasoning Proven experience building predictive models and taking them to production Ability to communicate complex analysis clearly to non-technical stakeholders Comfortable ...