76 to 100 of 109 Remote Statistical Modelling Jobs

across their business. Key Responsibilities will include Leading the development of data science models and solutions that have a real business impact. Design and iterate on machine learning and statistical models with measurable outcomes. Champion the use of Microsoft Fabricand Power BIin the analytics stack. Help shape technical direction, code quality, and best practices in data science. Explore and … test new tools, frameworks, and modelling approaches-then scale what work. Key Skills Needed: A background and higher qualificationsMathematics, Physics, Data Science, or a related technical field. 2-5 years' experience in a hands-on data science or advanced analytics role. Proven experience with Microsoft Fabricand Power BIin a production environment. Strong skills in Python (e.g. Pandas, scikit-learn … NumPy) or R. Proficient in SQL and working with relational databases. Experience building and deploying statistical or machine learning models. Experience working in cloud environments, preferably Azure. At this point we can only consider candidates eligible to work in the UK. The role is based in the City of London, with a hybrid working model and good flexibility to More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing … and BI principles Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model monthly onsite collaboration at a modern office in Thames Valley Park Comprehensive benefits including healthcare, pension, life assurance, and income protection More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing … and BI principles Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model – monthly onsite collaboration at a modern office in Thames Valley Park Comprehensive benefits including healthcare, pension, life assurance, and income protection More ❯

Python programming with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive in a dynamic consultancy environment. Data modelling experience More ❯

and predictive analytics initiatives to support fleet management and reliability efforts. You will also develop and maintain tools to streamline data cleansing processes, implement advanced analytics solutions, and provide statistical expertise to cross-functional teams. Your contributions will directly enhance the performance and reliability of aviation products, ensuring safety and quality remain our top priorities. GE Aerospace is one … Provide Reliability/In-Service support. Clean, validate and categorise datasets/sources, as required. Complete contractual, non-contractual, and ad-hoc data and reliability requirements, as assigned. Develop statistical models for specific issues, execute accurate analyses and provide clear link between statistical results and physics. Communicate technical content to satisfy requests using appropriate media (e.g. presentation) to … a variety of stakeholders at all levels. Provide statistical guidance to other personnel and assigned teams, mentor others in the organisation. Adhere to departmental compliance, company policies and government regulations. Required Qualifications This role requires advanced experience in the Engineering/Technology & Fleet Management. Knowledge level is comparable to a Bachelor's degree from an accredited university or college More ❯

FMCG. They pride ourselves on nurturing talent and fostering a culture of innovation and inclusion. As a Senior Consultant, you will: Lead projects to deliver actionable insights using advanced statistical modeling and research integration. Drive business development , contributing to proposals and pitches. Collaborate on product development and innovate new analytical approaches. Work with diverse datasets, ensuring quality control and More ❯

FMCG. They pride ourselves on nurturing talent and fostering a culture of innovation and inclusion. As a Senior Consultant, you will: Lead projects to deliver actionable insights using advanced statistical modeling and research integration. Drive business development , contributing to proposals and pitches. Collaborate on product development and innovate new analytical approaches. Work with diverse datasets, ensuring quality control and More ❯

About Football Radar For over a decade, Football Radar has excelled in developing statistical models and analytical frameworks for football. Our expertise extends to providing advisory services to football clubs and offering leading-edge betting advice that has consistently delivered outstanding returns for our clients. We try to combine the freedom and flexibility of working in a start-up … the stability of an established business, giving our people the autonomy to act and the support to succeed. About the Role You will be responsible for designing and developing statistical models used to predict cricket matches. We are looking for smart, mathematical and ambitious people who enjoy solving challenging problems and can make pragmatic decisions. You do need to … you have: Strong problem solving skills, with an ability to proactively identify challenges and propose solutions An ability to make pragmatic and sensible choices about what data analysis and modelling approaches to use - you can judge when it's right to obsess about the details, and when it's right to ship an MVP as fast as possible A More ❯

of health care provision to Manchester. Within this role you will work as part of a dynamic team providing health intelligence for the Trust utilising the latest analytical and statistical modelling techniques and visualisation tools such as R, Python, Data Bricks and Power BI. You will produce innovative and informative intelligence that will support decision making and strategic … service change, provision or development. assist the Trust to interpret the available data and provide a judgement on actual performance and the ability to deliver operational plans, using predictive modelling techniques. To achieve our aim of system-wide transformation we're developing a culture of high-quality compassionate and inclusive leadership and staff engagement, based on a co-created … opinions Collaborative approach and good team working Ability to work effectively and efficiently under pressure SQL Server experience and knowledge Senior stakeholders management and engagement Desirable Power BI experience Modelling and predictive analysis skills and experience Statisical applications such as SAS, R etc Certificate of Sponsorship Applications from job seekers who require current Skilled worker sponsorship to work in More ❯

calibre of people they employ and will do everything to support you and your development. Role Overview: As a Data Scientist you will be hands on in developing advanced statistical and machine learning models within the financial sector. Python is obviously a pre-requisite for this role, with experience required in processing and model development. You will develop end More ❯

calibre of people they employ and will do everything to support you and your development. Role Overview: As a Data Scientist you will be hands on in developing advanced statistical and machine learning models within the financial sector. Python is obviously a pre-requisite for this role, with experience required in processing and model development. You will develop end More ❯

business and production goals Requirements: A degree in Computer Science, Machine Learning, or a related field, or equivalent industry experience 3+ years of experience working with deep learning and statistical models Strong knowledge of data quality standards and annotation processes, with the ability to independently evaluate and improve models Proficiency in Python and familiarity with relevant ML frameworks and More ❯

all of TradingHub's product offerings Research and development of broad models of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub's proprietary mathematical/statistical models Use of in-house big data language for the large-scale pricing and analysis of security and risk data Implementation and optimisation of the core algorithms used by More ❯

Decision Science team within Risk. The Risk team plays a crucial role in Funding Circle. They ensure our borrowers and investors get what we promise by using data and modelling to provide insights to the rest of the business, and controlling and monitoring the risk within our processes. This team ensures that we always deliver whilst making data driven … decisions to guide our strategy. Funding Circle’s Decision Science team is hugely influential to our overall lending process. They build statistical models and use advanced quantitative techniques to enable many different teams across the organisation to optimise business and lending strategies. Who are we? We’re Funding Circle. We back small businesses to succeed. At Funding Circle, we … meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience. The role Report to the Chief Credit Officer, advising on the use of statistical models and advanced quantitative techniques to optimise business performance Working across our UK business, you will collaborate with experts in risk management, technology, data management, marketing, business operations to More ❯

a variety of sources Generate model validation reports and ensure that validation actions are followed through to a resolution Support the continuous learning and development of a best practice modelling culture within the bank Offer insight and recommendations that contribute to achieving best in class risk models We need you to have Significant experience in developing or validating statistical models in an industry or academic context Highly analytical with a numerate degree or equivalent technical experience Experience in the use of statistical software (SAS and/or Python) to analyse and interpret data Superb data presentation and report writing skills, ideally for a Model Risk Committee or equivalent Ability to work to a high degree of accuracy … ensuring you always get the basics right Sound decision making and critical thinking It's a bonus if you have but not essential Knowledge of credit risk modelling including PD, EAD and LGD models Experience of working with IFRS 9 or Stress Testing models in the financial industry Familiarity with Model Risk Management frameworks and associated regulations (e.g. SS1 More ❯

national security projects, this could be your next move. You'll be joining a high-performing team that's solving real-world problems using machine learning, advanced algorithms, and statistical modelling - all in a secure, mission-critical environment. Flexibility is built-in, with hybrid working from Gloucester and travel to client sites a few times per month. This More ❯

years of overall experience Translate complex business requirements from Capital Markets Trading and Market Ri Management into requirements, system specifications and testing needs. Design and execute test cases for statistical modeling and analytical software applications to ensure they meet business needs and model requirements. Work very closely with Quantitative Engineers to resolve test case failure Work in an Agile More ❯

C++ Must have python Translate complex business requirements from Capital Markets Trading and Market Ri Management into requirements, system specifications and testing needs. Design and execute test cases for statistical modeling and analytical software applications to ensure they meet business needs and model requirements. Work very closely with Quantitative Engineers to resolve test case failure Work in an Agile More ❯

our Decision Science team within Risk. The Risk team plays a crucial role in Funding Circle. They ensure our borrowers and investors get what we promise, use data and modelling to provide insights to the rest of the business, control and monitor the risk within our processes ensuring that we always deliver and they help us make data driven … decisions to guide our strategy. Funding Circle's Decision Science team is hugely influential to our overall lending process. They build statistical models and use advanced quantitative techniques to enable many different teams across the organisation to optimise business and lending strategies. Who are we? We're Funding Circle. We back small businesses to succeed. At Funding Circle, we … meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience. The role Report to the Chief Credit Officer, advising on the use of statistical models and advanced quantitative techniques to optimise business performance Working across our UK business, you will collaborate with experts in risk management, technology, data management, marketing, business operations to More ❯

our Decision Science team within Risk. The Risk team plays a crucial role in Funding Circle. They ensure our borrowers and investors get what we promise, use data and modelling to provide insights to the rest of the business, control and monitor the risk within our processes ensuring that we always deliver and they help us make data driven … decisions to guide our strategy. Funding Circle's Decision Science team is hugely influential to our overall lending process. They build statistical models and use advanced quantitative techniques to enable many different teams across the organisation to optimise business and lending strategies. Who are we? We're Funding Circle. We back small businesses to succeed. At Funding Circle, we … meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience. The role Report to the Chief Credit Officer, advising on the use of statistical models and advanced quantitative techniques to optimise business performance Working across our UK business, you will collaborate with experts in risk management, technology, data management, marketing, business operations to More ❯

a hybrid role, offering flexible working hours based on a 37-hour week, Monday to Friday. The role will support the Head of Wastewater Strategy and the growing WRc modelling team in delivering exceptional solutions for the wastewater sector. You will bring ideas, drive, and energy and be highly capable of engaging with clients to deliver solutions that meet … project opportunities, including existing UK framework contracts but also novel one-off projects both in the UK and overseas. This typically involves undertaking feasibility studies/projects using computer modelling, statistical modelling, GIS and data analysis to support operational and environmental recommendations or other interventions. Responsibilities: Demonstrate an ability to successfully deliver projects to exacting standards, within … of the business. Demonstrate intellectual curiosity, drawing on innovation in academia and industry. Person Specification: You will have proven previous experience in the water sector focused on wastewater network modelling, asset management, drainage planning and data analytics. In addition, you will be able to highlight experience associated with the future challenges that face the water industry and how we More ❯

all of TradingHub's product offerings Research and development of broad models of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub's proprietary mathematical/statistical models Use of in-house big data language for the large-scale pricing and analysis of security and risk data Implementation and optimisation of the core algorithms used by More ❯

the quality of insights depends on the quality of the data. 10. You understand that models are only as good as their assumptions. You can critically assess epidemiological and statistical models, ensuring biases and confounders are accounted for. You’re comfortable with methodologies like propensity score matching, inverse probability weighting, and instrumental variable approaches. 11. You don’t just … and limitations of each data source. 14. You know when a real-world study is the answer—and when it’s not. You can identify when another approach (e.g., modelling, meta-analysis, or a new trial) is needed. 15. You believe in impact, not just publications. Publishing is great, and you’ve done it—but what excites you is More ❯

the quality of insights depends on the quality of the data. 10. You understand that models are only as good as their assumptions. You can critically assess epidemiological and statistical models, ensuring biases and confounders are accounted for. You’re comfortable with methodologies like propensity score matching, inverse probability weighting, and instrumental variable approaches. 11. You don’t just … and limitations of each data source. 14. You know when a real-world study is the answer—and when it’s not. You can identify when another approach (e.g., modelling, meta-analysis, or a new trial) is needed. 15. You believe in impact, not just publications. Publishing is great, and you’ve done it—but what excites you is More ❯

velocity anomalies, and fraud rings . Respond to live fraud and system alerts, triage incidents, and execute rapid investigations. Define and improve alert thresholds, logic, and rule-based or statistical models to increase signal quality and reduce noise. Incident Management & Root Cause Analysis Lead real-time incident response for payments-related issues and fraud escalations. Work with engineering, information More ❯