13 of 13 Remote Statistics Jobs in East London

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 ❯

independently. Responsible, collaborative and team oriented. Excellent troubleshooting skills. Experience working with software development teams. Preferred Experience A master’s degree in a quantitative discipline such as data science, statistics, software engineering, or computer science. Familiarity with Azure functions. Familiarity with infrastructure-as-code tools (e.g., CloudFormation, Terraform). Experience with Docker/Kubernetes. Experience with explainability tools and ensuring 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 ❯

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 ❯

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 ❯

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 ❯

across liquid and illiquid instruments Build and maintain research tools and infrastructure using Python (and C++ where required) Qualifications/Experience: Essential Bachelor’s or Master’s in Mathematics, Statistics, Computer Science, Physics, or related discipline Proficient in Python with strong statistical and probabilistic modelling skills Hands-on experience or theoretical knowledge in market structure and trading dynamics Market-Making More ❯

culture that supports your wellbeing and personal growth. What We’re Looking For: 3+ years of experience in data science, machine learning, or applied AI roles. Strong background in statistics, predictive modeling, and advanced machine learning techniques. Proven ability to lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in More ❯

you... Educated to undergraduate level with a preference for top-tier universities. Keen to see candidates with a degree in Risk Management, Risk Management and Insurance, Business Administration, Economics, Statistics, Engineering, Law, Environmental Science, or other related fields Desirable to have a relevant MSc or MBA. Ideal candidates will have at least 8 years of relevant experience in professional services More ❯

second. The company is made up of some of the very best software developers and mathematicians. Each brings their unique perspective from their backgrounds in computer science, physics, mathematics, statistics and engineering. Essential Skills 8+ years commercial experience in software engineering. Demonstrable experience building high-quality and scalable digital products and features. Strong project management and communication skills with the More ❯