1 to 25 of 41 Statistics Jobs in East London

communicate insights effectively. Stay updated on emerging AI techniques, sustainability challenges, and regulatory frameworks to enhance analytical methodologies. Qualifications and Skills: Master’s or Ph.D. in Mathematics, Data Science, Statistics, Environmental Science, AI, Computational Modeling, or a related field. Strong expertise in mathematical modeling, statistical analysis, and computational techniques. Proficiency in AI and machine learning algorithms, particularly in predictive modeling More ❯

Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics Location: Full time office-based, The Strand, London Reference: J12974 Applicants must have full UK working rights unfortunately, post-study work visas cannot be accepted. Are you a numerically gifted graduate looking to kick-start a career in data analytics? We’re working with a respected client based in Central London … their analytical team with a bright and motivated Graduate Data Analyst . If you hold a degree (or master’s) in a quantitative discipline such as Mathematics, Operational Research, Statistics, or Econometrics , and are passionate about working with data to deliver real world insights, this could be your ideal first step. About the Role This is a full-time, office … in well-structured, client-ready Word documents What We’re Looking For A minimum 2:1 degree in a numerical/applied subject such as MORSE, Mathematics, Operational Research, Statistics, or Econometrics A relevant Master’s degree is a strong advantage Advanced Microsoft Excel skills (essential) Problem solving skills Experience managing large datasets using tools such as SAS, Stata, R More ❯

updated with the latest trends and advancements in data science and machine learning. Essential Requirements: Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong understanding of data analysis, statistics, and machine learning concepts. Proficiency in programming languages such as Python. Experience with data visualization tools like Power BI. More ❯

Intelligence (Data modelling, data warehousing, Dashboarding) SQL & Python AWS (S3, Lambda, Glue, Redshift) The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science. We provide the key insight into customer behavior necessary to guide the evolution of business strategy. If you are motivated to serve the needs of More ❯

Stay informed on academic and industry research to incorporate cutting-edge methodologies into strategy development. Candidate Profile Ph.D. or Master's degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Computational Finance. Proven experience in quantitative research and strategy development for opening/closing auctions, ideally within a multi-strategy hedge fund or proprietary trading firm. … ethical standards and a commitment to maintaining the firm's reputation and integrity. Desired Skills and Experience Ph.D. or Master's degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Computational Finance. Proven experience in quantitative research and strategy development for opening/closing auctions, ideally within a multi-strategy hedge fund or proprietary trading firm. More ❯

initiatives with business goals. Data storytelling: Design and maintain dashboards and visualisations that translate data into actionable insights for business stakeholders. Requirements: Bachelor’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly More ❯

Stay informed on global macroeconomic trends, geopolitical events, and market structure changes affecting commodities. Required Qualifications: Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Finance. 3+ years of experience in commodity trading, preferably in a quantitative or algorithmic environment. Strong programming skills in Python, C++, or similar languages used More ❯

e.g. Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python/R (mandatory); MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Experience in a Quant role Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and More ❯

data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding skills in Python and SQL Strong communication skills More ❯

engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach. 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. **Please note that this role More ❯

familiarity with data workflow management tools such as Airflow as well as big data technologies such as Apache Spark or other caching and analytics technologies Expertise in model training, Statistics, model evaluation, deployment and optimisation, including RAG-based architectures. More ❯

impactful solution (even if not perfect) in short sprints. Skills & experience required: Educated to at least degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and regression. Strong programming and modelling More ❯

risk models that account for various market scenarios and stress conditions. Requirements: Strong academic background: Ph.D. or Master's degree in a quantitative discipline such as Economics, Finance, Mathematics, Statistics, Computer Science, or a related field. Strong programming skills in Python, R, or a similar language, and the ability to write clean code. Experience with statistical analysis, econometrics, and machine More ❯

and platforms such as Python, SQL, Vector stores & graphs, Power BI, Looker, and modern analytics stacks. Bachelor’s or Master’s degree in a quantitative field (e.g. Data Science, Statistics, Economics). MBA or business qualifications are a plus. Strong track record in generating revenue and leading commercial data science initiatives. Proven experience working with senior stakeholders and translating complex More ❯

on tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management ● Core Competencies: Model lifecycle: You’ve got hands-on experience with managing the ML model More ❯

Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote More ❯

Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote More ❯

result are looking for a Data Scientist with specific experience in loss modelling . This role is ideal for someone with experience in catastrophe or physical risk modelling, applied statistics, and geospatial data. You’ll play a key role in shaping the loss modelling framework behind a next-generation SaaS platform used by global clients across banking, insurance, and real … sensing, or statistical modelling 3+ years of experience in climate risk, catastrophe, or related modelling domains Bonus Experience Expertise in exposure and vulnerability within catastrophe models Background in Bayesian statistics, Extreme Value Theory, or uncertainty quantification Knowledge of machine learning techniques for climate risk Familiarity with cloud computing (AWS, GCP) Hybrid working (3 days/week on-site in London More ❯

production-quality code • Prior experience with interest rate swaps, options, fixed income futures, and FX; familiarity with pricing/risk libraries for live and historical analytics • Strong grasp of statistics, particularly time series analysis and regression techniques • Highly organized, with the ability to clearly present findings and iterate with PMs as needed More ❯

programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

quantitative finance. Qualifications: Technical Skills: Proficiency in AI, ML, and LLMs; strong programming skills in Python and C++; experience with PyTorch or TensorFlow. Quantitative Background: Solid foundation in mathematics, statistics, and quantitative modeling; experience with financial data is a plus. Education: Bachelor's or advanced degree in Computer Science, AI, Mathematics, Financial Engineering, or a related field from a top … Skills and Experience Technical Skills: Proficiency in AI, ML, and LLMs; strong programming skills in Python and C++; experience with PyTorch or TensorFlow. Quantitative Background: Solid foundation in mathematics, statistics, and quantitative modeling; experience with financial data is a plus. Education: Bachelor's or advanced degree in Computer Science, AI, Mathematics, Financial Engineering, or a related field from a top More ❯

push technical boundaries Collaborate closely with cross-functional teams across data engineering, strategy, and analytics What we’re looking for Bachelor’s degree or higher in Computer Science, Maths, Statistics, Engineering or similar 3+ years’ experience with Python, including strong code design Proven experience building, optimising and evaluating AI/NLP models Ability to translate business challenges into technical requirements More ❯

development lifecycle. What we're looking for: Background & Experience: 3+ years in ML/AI with a Master’s (or higher) in a quantitative field such as Computer Science, Statistics, or Engineering. Technical Skills: Proficient in Python and key ML libraries, with hands-on experience in LLMs, prompt engineering, data processing, and production-level code development. Mindset & Communication: Strong analytical More ❯

Hybrid (UK) - Must have full right to work in the UK £80,000 - £120,000 +ISO options **ideally you'll posses a degree in Computer Science/Mathematics or statistics (or similar) from a top 5 university OR have worked at a high growth AI Native start-up. Coming out of Stealth at the back end of 2024 with a More ❯

trades in complex or less liquid markets where automation is not optimal Ideal Candidate Profile Bachelor’s or Master’s degree in a quantitative or financial discipline (e.g. Mathematics, Statistics, Engineering, Computer Science, Physics, Finance, or Economics) Up to 2 years of relevant experience, including internships, ideally within a trading, investment, or derivatives-focused environment Demonstrable interest or prior exposure More ❯