growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and commercial … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statisticalmodelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. **Please note: Unfortunately, this role More ❯
Souza Senior Technical Pricing Analyst: An opportunity has arisen to join Ageas's Underwriting department in the Technical Pricing team. Technical Pricing are responsible for the production of specialist statistical risk models for our insurance products including Private Car, Van, Bike and Household. While we have offices in London, Eastleigh and Bournemouth, we will accommodate working from home full … models and deploying the latest data science techniques to generate profitable business growth. The Senior Technical Pricing Analyst will support projects, assisting in data preparation, performing, and reviewing actuarial modelling and interpreting results that drives high impact and, intelligent pricing solutions - all of which will help drive our competitive positioning. This role has a strong research and development focus … as an Actuary. Main Responsibilities: Creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricing. Assisting in the production of ad-hoc actuarial and statistical analyses, working with stakeholders across the company to solve a wide range of business problems Producing reports, documentation, and presentations to communicate statistical models and results to key More ❯
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 ❯
challenge ML models that aim to predict and explain cellular decision-making in disease. Your responsibilities Develop and implement computational workflows for integrating and analysing multi-omics data. Design statistical models for analysing transcriptomics and other omics datasets. Use domain and data insights to design meaningful and challenging evaluation tasks for ML models. Collaborate closely with ML modellers to … with high-performance computing environments. Desirable knowledge or experiences Familiarity with single-cell transcriptomics or patient-derived datasets. Knowledge of ML techniques applied to biological data. A background in statisticalmodelling and algorithm development. Experience working in interdisciplinary teams. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated More ❯
target discovery and validation initiative. Your responsibilities Develop and implement computational workflows for analysing multi-omics data. Perform data integration to uncover disease mechanisms and identify actionable targets. Design statistical models for analysing transcriptomics and other omics datasets. Collaborate closely with experimental and machine learning teams to validate computational insights. Present findings and methodologies to internal stakeholders and contribute … single-cell transcriptomics or patient-derived datasets. Experience working in interdisciplinary teams within biotech or pharma settings. Knowledge of machine learning techniques applied to biological data. A background in statisticalmodelling and algorithm development. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Passionate about making More ❯
culture. What You'll Need: Proven expertise in data science with a focus on delivering business value. With a preference for experience in a consulting role. Strong foundation in statisticalmodelling, machine learning, and data mining. Proficiency in Python, R, or similar programming languages. Experience with cloud platforms (AWS, GCP, Azure) is a plus. A passion for solving More ❯
sales opportunities at client engagements An understanding of database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. Hadoop, Mahout, Pig, Hive, etc.; An understanding of statisticalmodelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc.; An understanding of cloud technologies e.g. AWS, GCP or Azure A track record of demonstrated success More ❯
sales opportunities at client engagements An understanding of database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. Hadoop, Mahout, Pig, Hive, etc.; An understanding of statisticalmodelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc.; An understanding of cloud technologies e.g. AWS, GCP or Azure A track record of demonstrated success More ❯
sales opportunities at client engagements An understanding of database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. Hadoop, Mahout, Pig, Hive, etc.; An understanding of statisticalmodelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc.; An understanding of cloud technologies e.g. AWS, GCP or Azure A track record of demonstrated success More ❯
events. The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. What You'll Do: Quantitative Researchers collect and analyze … tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump's Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing … in a Linux environment. Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines. Strong experience developing statistical models in a trading environment. Proven success working with large data sets and developing statistical models. Fascinated and interested in advancing machine learning within the trading community. Possess More ❯
product types such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We deploy statistical analysis and mathematical models to enhance business performance, collaborating with traders and sales on the trading floor to deliver value to clients and the firm. Role Responsibilities Lead our … Quantitative Trading & Market Making desk by developing market making and quoting strategies across equity products, from cash to derivatives. Utilize advanced statistical analysis and techniques such as neural networks to build models that inform systematic trading and risk management decisions in real time. Implement frameworks for centralized risk management and construct optimal portfolios across asset classes using factor models … and other techniques. Develop model calibration frameworks for our statistical and AI models, operating at scale with large datasets of time series data. Advance our market making strategies using various technologies and collaborate closely with Quant Developers and engineering teams. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science. More ❯
better advise Trustees and Corporate clients on a wide range of actuarial-related areas. ML Ops Engineer Main Duties: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate … decision-making processes, and improve client offerings. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Collect, clean and preprocess large datasets More ❯
better advise Trustees and Corporate clients on a wide range of actuarial-related areas. ML Ops Engineer Main Duties: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate … decision-making processes, and improve client offerings. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Collect, clean and preprocess large datasets More ❯
better advise Trustees and Corporate clients on a wide range of actuarial-related areas. ML Ops Engineer Main Duties: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate … decision-making processes, and improve client offerings. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Collect, clean and preprocess large datasets 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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
MBN Solutions
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 ❯
as a mentor, tech lead or leading an engineering team 5+ years experience in data querying languages (e.g. SQL), scripting languages (e.g. Python) with exposure to machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Preferred Qualifications 5+ years of full software development life cycle, including coding standards, code reviews, source 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 ❯
Graduate Data Analyst – Financial & Legal Data Modelling £25,000–£35,000 + Bonus | Full-time | Central London (Office-based) Location: London (Zone 1 – near Charing Cross) Sector: Analytics | Commercial Disputes | Legal Data | Graduate Roles We’re working exclusively with a high-performing boutique analytics consultancy that supports legal teams in major commercial disputes. They’re now hiring a Graduate … profile cases. This is a unique opportunity for a numerically gifted graduate to launch their career in an intellectually stimulating and genuinely commercial role. Combining elements of data science, statisticalmodelling, and financial analytics. 🧠 What you’ll be working on: Reviewing incomplete, inconsistent datasets and making assumptions to fill data gaps Preparing clear, auditable Excel-based reports to … support financial claims Writing compelling client-facing reports that communicate your analysis effectively Collaborating with external parties including law firms, suppliers, and data providers Using Excel, Word and statistical tools to deliver high-quality work under time pressure ✅ Ideal candidate profile: Recent graduate (or final-year student) with a 2:1 or above in a quantitative degree Strong academic More ❯
Graduate Data Analyst – Financial & Legal Data Modelling £25,000–£35,000 + Bonus | Full-time | Central London (Office-based) Location: London (Zone 1 – near Charing Cross) Sector: Analytics | Commercial Disputes | Legal Data | Graduate Roles We’re working exclusively with a high-performing boutique analytics consultancy that supports legal teams in major commercial disputes. They’re now hiring a Graduate … profile cases. This is a unique opportunity for a numerically gifted graduate to launch their career in an intellectually stimulating and genuinely commercial role. Combining elements of data science, statisticalmodelling, and financial analytics. 🧠 What you’ll be working on: Reviewing incomplete, inconsistent datasets and making assumptions to fill data gaps Preparing clear, auditable Excel-based reports to … support financial claims Writing compelling client-facing reports that communicate your analysis effectively Collaborating with external parties including law firms, suppliers, and data providers Using Excel, Word and statistical tools to deliver high-quality work under time pressure ✅ Ideal candidate profile: Recent graduate (or final-year student) with a 2:1 or above in a quantitative degree Strong academic More ❯
team culture. YOUR NEXT CHALLENGE This role sits within the Marketing Effectiveness team at Medialab, helping clients understand the true value of their media investments through advanced measurement solutions, statisticalmodelling, and integrated insights. Reporting to the Head of Marketing Effectiveness, you will lead modelling workstreams, ensure quality control, and integrate research from multiple sources to deliver … will play a dual role: supporting and mentoring team members while continuing to develop your own skills alongside industry experts. Our proprietary Apollo platform automates data collection, allowing the modelling team to focus on insight generation and strategic recommendations rather than manual data processing. HOW YOU WILL MAKE AN IMPACT Lead end-to-end Marketing Mix Modelling (MMM … presentation materials and communicate complex insights in a clear, actionable way. Identify new business opportunities, contribute to pitches, write proposals, and create thought leadership pieces. Drive innovation in automated modelling processes, collaborating with engineering teams to enhance efficiency. Represent Medialab externally, building strong relationships with clients and industry stakeholders. WHAT YOU BRING TO THE TEAM Must Have Skills 7+ More ❯
growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and commercial … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statisticalmodelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role More ❯
growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and commercial … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statisticalmodelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role More ❯
Statistics, Data Science, Computer Science or Physics from strong University from across Europe. Proficient in several of the following: Python, MATLAB, C#, C++, Java Strong research background Mathematical and statisticalmodelling Excellent Mathematical skills Analytic mindset If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at Spectrum IT Recruitment (South More ❯
Statistics, Data Science, Computer Science or Physics from strong University from across Europe. Proficient in several of the following: Python, MATLAB, C#, C++, Java Strong research background Mathematical and statisticalmodelling Excellent Mathematical skills Analytic mindset If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (url removed) Spectrum IT More ❯
