22 of 22 Remote Statistics Jobs in London

methods to solve unique financial challenges. Commit to continuous learning in financial analytics, tools, and best practices to enhance data analysis capabilities. Qualifications: Bachelor’s degree in Finance, Economics, Statistics, Mathematics, or a related field. Strong foundational knowledge of data analysis, with a keen interest in developing further expertise in the finance sector. Proficiency in Excel is required; familiarity with More ❯

and experimentation. Enjoy autonomy, ownership, and creative freedom-your ideas will have visible impact. Please click here to view the full job description Essential Skills & Experience: Strong fundamentals in statistics, probability, mathematical modeling, and computational thinking. Deep understanding of machine learning algorithms, optimization, architectures, and evaluation. Experience with data engineering workflows, including ETL, pipeline design, and feature extraction. Proficiency in More ❯

Power BI, or similar tools is an advantage. Ability to communicate complex findings clearly and concisely. Well-organised with strong problem-solving and time management skills. Degree in Mathematics, Statistics, Economics, Computer Science, or a related discipline preferred (not essential). Up to 2 years’ experience in a data-related or analytical role — graduates are welcome to apply. What’s More ❯

management abilities. Preferred Qualifications: Experience in alternative data usage for credit risk evaluation. Familiarity with Open Banking and fintech lending platforms. Bachelor's or Master's degree in Finance, Statistics, Mathematics, Economics, or a related field. Benefits Pension Plan Paid Time Off Work From Home Training & Development #LI-A More ❯

members, and may manage junior Data Scientists or graduates in the future. Who you are You hold a Master's degree in a data-relevant field such as Maths, Statistics, Data Science, Engineering or Psychology and have experience in data science in a commercial environment, and have demonstrated leadership in that role. With experience in relevant coding languages (Python or More ❯

and results to both technical, and business audiences Ability to work both independently and in highly collaborative team environments Preferred qualifications, capabilities, and skills Strong background in Mathematics and Statistics Familiarity with the financial services industries Published research in areas of natural language processing, deep learning, or reinforcement learning at a major conference or journal Ability to develop and debug More ❯

extensive practical experience of using innovative platforms for data visualization including R Shiny, Power BI and/or Tableau A degree or equivalent professional experience in subjects such as Statistics, Data/Computer Science, Economics, Public Policy, or the Sciences would be desirable Please see attached Job Description and Person Specification for further details. About Us: Victim Support (VS) is More ❯

Are highly skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. Have a strong background in one or more of the following areas: exploratory data analysis and More ❯

and finding creative solutions Bachelors Degree Required, ideally in Information Sciences or Business Studies Excellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Client-facing experience is a plus. Benefits Hybrid working (2 days in More ❯

Plan and document work methodically to ensure clarity. What We're Looking For Proven experience in a Data Analyst role. Degree in a quantitative field (e.g., STEM, Mathematics, Engineering, Statistics). Strong SQL skills. Solid Power BI experience with a focus on dashboard design and UX. Good DAX experience. Highly organised with excellent attention to detail. Strong communicator able to More ❯

will be collected anonymously, in confidence and will not be seen by anyone directly involved in the hiring process, it will be stored separately and used only to provide statistics for monitoring purposes. There is no obligation on you to provide information. All applicants will be treated the same, whether or not they provide this information. #INDPREM More ❯

Mercor is seeking Mathematics/Statistics Master's and PhD's (current or graduated) for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Specifically, you will help create high-quality data that will More ❯

security. You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale You are comfortable with core ML concepts, including probability, statistics, and common learning techniques. You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. You thrive in a fast-paced environment, and enjoy the More ❯

SQL Proficient in the use of programming languages: Python. SQL Experience in using and good knowledge of: Data manipulation & visualisations, Data modelling, Data architecture and cloud, Data analytics and statistics Desirable knowledge of apprenticeships and work-based learning Desirable knowledge of the Ofsted Common Inspection Framework Desirable industry experience with teaching/coaching experience Passion for lifelong learning and development More ❯

Education and Training Our ideal candidate is an individual who has: A degree (Masters and/or PhD preferred but not required) in a numerical field such as mathematics, statistics, physics, computer science, engineering or another STEM-oriented subject Demonstrable experience in delivering production-grade code Some formal training in (or comparable deep practical exposure to) descriptive statistics, probability, inferential … statistics, software development, and general data science fundamentals. Technical Experience An ideal candidate has demonstrable skills and experience in the following technologies. Required (ideally most of the following): The wider Python (3) data science stack and ecosystem (such as Pandas, NumPy, Jupyter notebooks, SciPy, FastAPI, Flask, Matplotlib, and similar) Core ML and DL frameworks (such as PyTorch (strongly preferred), Keras More ❯

planned and detail-oriented designer who can articulate UX & UI behavioral patterns, designs, and minute interactions in detail. Understand research (quant and qual), test & learn and a knowledge of statistics and cognitive biases is useful. Be a strong communicator (written and verbal) have the ability to get your views across in a succinct and engaging way. Be comfortable with change More ❯

follow-up actions are implemented. Auditing and Monitoring: Carry out checks and support audit activities to monitor compliance with information governance policies and standards. Reporting: Assist in preparing reports, statistics, and recommendations for management groups and committees. Training and Awareness: Support the delivery of corporate training and awareness activities on information governance, privacy, and security. Required Skills & Qualifications: Experience in More ❯

Data Scientist - Remote (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL pipeline, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, QGIS, PostGIS, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) Our client is a prestigious technology company who focus in the Insurance market. They have been a market leader for many years and … experience and full data lifecycle management knowledge. Essential skills include Jupyter notebooks and Python, strong Data Visualization and presentation, expertise in Data Science and Data Analysis and proficiency in Statistics and Data Analytics. Knowledge of Azure Data Factory, Cosmos DB, PostgreSQL, QGIS/PostGIS and C#.NET is highly desirable, as is any experience in the Insurance industry. Excellent problem-solving … your CV to Nathan Warner at Noir Consulting. (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL pipeline, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, QGIS, PostGIS, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) NOIRUKTECHREC NOIRUKREC More ❯

and unwavering persistence Strong motivation to automate and optimize processes Willingness to navigate system constraints and challenge existing limits Capability to efficiently construct comprehensive data analysis pipelines including advanced statistics/machine learning concepts Flexibility to work beyond standard hours when required Experience in distributed/high-performance computing A Master's or PhD degree in a highly quantitative discipline … such as mathematics, statistics, computer science, physics, or engineering is highly desirable We prioritise your programming skills, raw talent, and potential to make a meaningful impact and deliver value — over unnecessary bureaucracy This position is within front office trading, therefore, permanent remote work is not a viable option. Benefits Attractive base salary Performance-based bonus program Comprehensive Private Medical, Vision More ❯

datasets; experience with Python or R is a plus. Advanced Excel skills, including expertise in complex formulas, pivot tables, and data analysis tools. A strong foundation in probability and statistics, including experience with A/B testing and advanced analytical methods. In-depth knowledge of UK bureau data (e.g., Experian, Equifax, TransUnion) and familiarity with fraud detection techniques, alternative data … objectives with compliance requirements. Excellent communication and interpersonal skills, capable of articulating insights and recommendations to technical and non-technical audiences. A degree in a numerate discipline (e.g., Mathematics, Statistics, Economics, or STEM) or equivalent practical experience. Also Desirable: Experience with credit scoring models and decision systems. Modelling experience within financial services. Experience working in a scale-up or high More ❯

insights Partner with cross-functional teams to enhance CRM strategies Provide data-driven recommendations to improve customer engagement metrics Skills ? Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy More ❯

Data Analyst (Digital & Marketing Focus) London - Hybrid (2 days in office, Tues & Thurs - Elephant & Castle) Up to £50,000 + Benefits The Company Our client is a specialist digital and marketing analytics consultancy, established in 2016 and now recognised as More ❯