Cardiff, Wales, United Kingdom Hybrid / WFH Options
LexisNexis Risk Solutions
LexisNexis Risk at the link below, risk.lexisnexis.com About our Team : You will part of a team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role : This a Lead Data Scientist to manage a small team of data scientists. You … team, as well as performing product development and research projects as needed. The incumbent will have experience in data mining, statistical methods, and multiple modelling/scoring techniques. Responsibilities Managing a small team of data scientists building credit and fraud risk predictive models and other analytical product features … collaboration with other business teams runs smoothly. Supporting senior leaders to shape and deliver our data science strategy. Running analytical research projects and building predictive risk models as required. Requirements Experience of leading junior data scientists, either via direct line management or peer coaching. Demonstrate good oral and written more »
London, England, United Kingdom Hybrid / WFH Options
Understanding Recruitment
to redefine the future of marketing through the power of data and technology? As a Senior Data Scientist, you'll design, build and implement predictive models aimed at enhancing media performance, customer experiences, revenue efficiency, and various business outcomes. What You'll Do: Designing and predicting models to optimise … Opportunity to contribute to new & existing business pitches We’d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks Cloud platform experience (AWS preferred) Adobe analytics & sales platform experience is a bonus Previous experience more »
Croydon, England, United Kingdom Hybrid / WFH Options
Hawksworth
on Motor or Home insurance products. As a Senior Pricing Analyst in the Pricing R&D Motor or Home Team, you will use statistical modelling, machine learning techniques and insurance market knowledge to develop and implement price optimisation across our Motor and Home insurance product range. You’ll create … Knowledge , Skills & experience required: years’ experience in Pricing Optimisation in the Financial/Regulated industry (ideally Insurance). knowledge and experience using statistical methods, predictive models, and machine learning techniques to achieve business objects. This should include GLMs (Generalised Liner Models) and tree-based GBMs (Gradient Boosting Machines). … of using software applications to analyse data and create predictive models preferably in a team environment. This can be with Python, or Radar & Emblem etc. data handling skills such as producing summary statistics, transformations and visualisations, using software tools such as SQL, Python and Databricks. communication skills to work more »
requirements: Experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science … Scikit-learn etc. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved predictive models. Desirable: Experience in a similar industry with limited capacity and variable demand. Ability to autonomously tackle complex problems with a solution-driven approach. more »
right candidate) This is an opportunity to join an industry leading gaming solution software provider to build out a brand new suite of sports predictive models and bet builders. This is a brand new, large scale project and will involve extensive research-led greenfield work. I will consider candidates … a STEM subject and a demonstrable interest in the sports industry. I will also consider candidates with 1-4 years' experience in a sports modelling role. Roles and responsibilities: Sports quantitative and mathematical modelling Data analysis and extraction You will need: Strong degree in a STEM or quantitative … subject at 2:1 or above. Comprehensive modelling expertise and statistical capabilities, alongside proficiency in either Python or R, at university if a junior or in a professional capacity if more experienced For more information please reach out to kate.jenkinson@harringtonstarr.com more »
City of London, London, United Kingdom Hybrid / WFH Options
Langham Recruitment Limited
studio in new ways to capture, store, manipulate and analyse data for their clients. The Data Scientist will interpret complex data set to create predictive models and make data-driven decisions. A commercial background in Data science with strong SQL and Python/R skills is essential. REQUIREMENTS: Minimum … 4+ years Data Sciences Experience Strong SQL/T-SQL/U-SQL/KQL and Python/R skills Experience creating predictive models Strong knowledge of ML solutions Experience working with large data sets and loves to work with data Strong communication skills ( strong command of the English more »
BettingJobs are currently recruiting for Quantitative Analyst for a leading sports betting syndicate based remotely in the UK. Responsibilities: Build and maintain predictive models from large sports datasets. Research and apply novel modelling techniques. Test model performance. The role will often involve using mathematical models to calculate the … of the sporting calendar, there will be the requirement to offer support outside regular working hours on occasion. Requirements: Experience using advanced statistics and modelling techniques - preferably in sports field. PhD or other post-graduate qualification in statistics. machine learning or another mathematical/scientific discipline (or equivalent experience more »
role is embedded within the business, partnering with researchers to design and build models in scalable code and implement them into a cutting-edge modelling and analytics infrastructure. The framework will feed the models huge volumes of alternative datasets and in doing so, accurately track and capitalize on the … Build production systems for implementing, trading, monitoring, and performance reporting of systematic investment strategies. Implementation of strategies into production level code. Apply statistical and predictive modeling techniques to process and analyze large data sets. Research and attribution of portfolio performance and driving factors. Conduct research and statistical analyses to more »
London, England, United Kingdom Hybrid / WFH Options
Understanding Recruitment
to redefine the future of marketing through the power of data and technology? As a Senior Machine Learning Engineer, you'll deploy and productionise predictive models aimed at enhancing media performance, customer experiences, revenue efficiency, and various business outcomes. What You'll Do: Deploying and productionising models to optimise … best-in-class models, measurement and reporting We’d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: recommendation, forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks AWS experience – Redshift & Fast API NLP & Computer Vision experience Previous experience working with Marketing Ecosystems more »
