1 to 25 of 70 Remote/Hybrid Statistics Jobs in London

Studio, PowerBI, or Qlik. Agile Methodologies: Familiarity with Agile frameworks, including Scrum. Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred. Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation. What ...

align data definitions, share best practice, and deliver high-quality analytical outputs. Your Skills and Experience Degree in Data Science, Computer Science, Engineering, Statistics, Business Analytics, Industrial Engineering, or a related analytical field. Proven experience leading and developing analysts or a small analytics/data team, setting direction, standards ...

ability to handle competing priorities and independently manage project delivery to client expectations A degree at graduate or postgraduate level in Data Science, Mathematics, Statistics, Economics or a related numerate discipline – or equivalent professional experience as a substitute Advantageous SQL and experience working with relational databases including direct interaction with ...

programming (Gurobi, CPLEX, OR-Tools). Experience with network optimisation, routing, scheduling, pricing or revenue management. Advanced degree (MSc or PhD) in Data Science, Statistics, Mathematics, Computer Science, Operations Research ...

markets and securities (focus on cash bonds/rates), including pricing, curve construction, and risk analytics (duration, convexity, DV01). Advanced mathematical knowledge (e.g., statistics, time-series analysis, asset-pricing theory, optimization algorithms). Strong knowledge of one or more SQL/NoSQL databases. Experience building containerized applications and deploying ...

methodical approach to problem solving and be proactive in meaningfully contributing to the success of D&F. Joining the company with a maths, statistics, engineering or natural sciences degree (ideally Masters), they also require the ability to effectively communicate technical details to a non-technical audience. - Managing, auditing, processing ...

markets and securities (focus on cash bonds/rates), including pricing, curve construction, and risk analytics (duration, convexity, DV01). Advanced mathematical knowledge (e.g., statistics, time‐series analysis, asset‐pricing theory, optimization algorithms). Strong knowledge of one or more SQL/NoSQL databases. Experience building containerized applications and deploying ...

while staying current with emerging developments What You Bring A post-doctoral degree in a quantitative field such as Physics, Engineering, Mathematics, Computer Science, Statistics, or a related STEM discipline, or equivalent professional experience supported by a Master’s degree Familiarity with modern approaches such as CNNs, Transformers, autoencoders, self ...

model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences. Requirements Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area. Experience working with frontier LLMs such as OpenAI’s GPTs, Anthropic’s Claude, and Google ...

warehouses, SQL, and data visualization techniques. Education & Experience: A 2.1 or first-class degree in Mathematics or a related numerical field (e.g., Physics, Engineering, Statistics) is preferred. Strong 'A' Level results, including Mathematics. Personal Attributes: Excellent verbal and written communication skills. Analytical thinker with a logical and methodical approach ...

complex and fast-changing environments. Working closely with Product Managers, Solution Architects, Data Engineers and Machine Learning Engineers, you'll apply advanced analytics, statistics and machine learning to transform large, complex datasets into trusted customer-facing data products. This is an opportunity to play a key role in building commercially ...

complex and fast-changing environments. Working closely with Product Managers, Solution Architects, Data Engineers and Machine Learning Engineers, you'll apply advanced analytics, statistics and machine learning to transform large, complex datasets into trusted customer-facing data products. This is an opportunity to play a key role in building commercially ...

modern cloud warehouse and transformation framework (e.g. dbt with BigQuery, Snowflake), with a strong instinct for data quality. A solid grasp of statistics and probability, including experiment design and interpretation (A/B and quasi‐experimental methods such as difference‐in‐differences). A working understanding of how a payments ...

experience as an ML/AI focused engineer, with 1+ year in a senior capacity preferred. Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Expert proficiency in GCP’s ML/AI tooling, its data ecosystem, and Python with core ML/ ...

communication skills. Excellent data storytelling skills and the ability to explain complex findings clearly. Strong critical-thinking skills. A numerate degree such as Mathematics, Statistics, Economics, Engineering, Physics or a similar discipline. Comfortable working with tables, data and analytical outputs. Experience producing and presenting analysis using tools such as PowerPoint ...

including standards and templates, and represent the firm in external AI forums and industry groups. Qualifications Bachelor’s degree in computer science, engineering, mathematics, statistics, or related fields. 10+ years in technology architecture, 3–5 years focused on AI/ML architecture in large, complex enterprise environments. Hands‐on command ...

pipelines using modern data stack tools (e.g. ELT/ETL frameworks, cloud data warehouses, orchestration tools). A Degree in Computer Science, Engineering, Mathematics, Statistics, Economics or another quantitative field (or equivalent work experience). Solid understanding of data modelling concepts and analytics-ready schemas. Demonstrated experience managing relationships with ...

development Feature engineering Evaluation and validation Deployment into production environments Demonstrated experience taking models beyond experimentation into operational, business‐critical systems. Strong background in statistics and quantitative problem solving. Proficiency in Python and SQL, with experience writing production‐quality, maintainable code. Experience with modern data science tooling, including: Version control ...

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 ...

outstrips supply. Your fast-track in Over 10 weeks, our academy takes you from graduate to job-ready pricing analyst: Python/R, SQL, statistics, Excel and insurance fundamentals, taught by trainers widely regarded as the best in UK pricing — people who have built and led pricing functions at major ...

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 ...

with SQL/large datasets/AI tools and the aptitude and willingness to learn BA/BS or equivalent qualification. Major in finance, statistics, quantitative economics or another degree emphasising data analysis preferred Bonus points if you have: Familiarity with BI & Sales tools such as Nexus, Claude, Gemini, Tableau ...

conception to delivery while aligning with business objectives. · Have an advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading ...

quality, consistency and efficiency of measurement. Communicate analytical findings and recommendations clearly to technical and non-technical stakeholders. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Contribute to a culture of evidence-based decision-making by sharing knowledge … collaborating across teams and promoting analytical best practices. What We’re Looking For: Required: Master’s degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related ...

making by educating stakeholders, sharing best practices, and communicating advances in experimentation, causal inference and applied data science. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Represent the team across PlayStation, building strong partnerships, engaging senior stakeholders … promoting technical excellence in data science and experimentation. What We're Looking For: Required: Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science ...