1 to 25 of 114 Remote/Hybrid Statistics Jobs in England

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 ...

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 ...

good first degree or higher in a highly numerate subject or equivalent experience is essential, such as Engineering, Data Science, Computer Science, Economics, Statistics, Mathematics, Operational Research and other quantitative STEM subjects AND/OR proven experience with forecasting or predictive analysis. The ability to communicate clearly and concisely ...

Skills: Proficiency in Python for data analysis, modelling and machine learning. Machine Learning: Experience building and evaluating machine learning models Education: Degree in Mathematics, Statistics, Data Science, or another quantitative field Communication: Strong verbal and written communication skills Organisation & Time Management: Excellent organisational and time management skills What’s involved ...

Data Represent Yorkshire Water in cross-sector innovation and academic communities What skills & qualifications you will need: Degree in a numerate subject (e.g. Mathematics, Statistics) Proven experience in statistical analysis and data science, ideally within the water industry or similar sectors Strong programming skills in Python, R, and SQL Experience ...

analysis and experimentation. Excellent communication and stakeholder management skills. Experience within ecommerce, marketplaces, retail, or another commercial environment is highly desirable. Degree in Mathematics, Statistics, Computer Science, or a related discipline. Desirable Experience Customer segmentation and behavioural analysis. Lifetime Value (LTV) modelling. Predictive analytics and forecasting. Google Cloud Platform ...

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 ...

SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software is preferred. 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 and continuous ...

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 ...

. · Exposure to AI-assisted development or analytics tools (e.g. Claude, Copilot) is a plus. · Degree or Masters in a numerate subject such as statistics, mathematics, economics, engineering or similar. · Experience with Jira/Confluence. · Experience with dbt. ...

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 ...

engineering best practices. Deep knowledge of statistical and machine learning models—gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Comprehensive understanding of statistics: hypothesis testing, confidence intervals, bootstrap. Experience with end-to-end model development and maintenance for business-critical automated decision-making in a consumer-facing industry. ...

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 ...

Science, Machine Learning or a similar role • Strong Python and SQL skills • Experience building machine learning models in a production environment • Strong understanding of statistics, experimentation and hypothesis testing • Experience with recommendation systems, personalisation or predictive modelling is beneficial • Strong commercial awareness and problem-solving capabilities • Ability to communicate technical ...

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 ...