will blend advanced analytical skills with business acumen to deliver insights that shape strategic decisions and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced More ❯
statistical analysis and applying machine learning techniques to insurance and financial data Supporting data preparation and transformation for analytical purposes Developing, testing, and refining predictive models Presenting insights to stakeholders and translating analytical outputs into business context Collaborating with engineers and analysts across departments Contributing to projects related to More ❯
large data sets, as well as apply mathematical, statistical, and other data-driven analysis to address intelligence questions. Proven ability in using statistical analysis, predictivemodelling and explanatory modelling to identify trends. Ability to work well under pressure and achieve results within the scheduled time-frame. Excellent More ❯
or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictivemodelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java More ❯
or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictivemodelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java More ❯
analytics, financial KPIs, marketing performance, and product usage patterns Statistical Knowledge: Understanding of statistical methods for analysing operational efficiency, customer behaviour, cohort analysis, and predictivemodelling for business metrics GCP Familiarity: Working knowledge of Google Cloud Platform analytics tools, particularly BigQuery for large-scale data analysis Problem Solving More ❯
use datasets. Support end-users and collaborate with them to improve readiness of base datasets for modelling. Collaborate with Data Engineers, Pricing Actuaries and Predictive Modellers to deliver innovative data solutions for data-driven pricing. Develop knowledge of the company's IT landscape, data and data systems. Contribute to More ❯
and actionable results. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictivemodelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques More ❯
and actionable results. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictivemodelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques More ❯
Strong background in data analysis, statistics, or data science. Proficiency in tools such as SQL, Python, R, and Power BI or Tableau. Experience with predictivemodelling and machine learning techniques. Excellent communication skills and the ability to translate technical insights into practical actions. Knowledge of housing systems and More ❯
understanding to complement quantitative insights Curious, collaborative team player able to prioritise in a fast-paced environment Nice to have: Familiarity with customer segmentation, predictive modeling, and machine learning techniques. Prior experience supporting data-driven product roadmaps and experimentation programmes A keen interest in trading and/or investing More ❯
a pragmatic, commercially-minded Lead Data Scientist who can build intelligent solutions that drive real business outcomes. You will work at the intersection of predictivemodelling, experimentation, and decision science - shaping how we target audiences, grow revenue, personalise content, and optimise campaigns. Key Responsibilities: Lead end-to-end … or off-the-shelf. Foster a culture of experimentation, iteration, and value delivery. Mentor and support the growth of junior team members and analysts. Modelling & Advanced Analytics Build and deploy predictive models for key areas like: Pricing & inventory optimisation Competition/gaming dynamics and participation forecasting Leverage statistical … and machine learning approaches while prioritising explainability and business fit. Embed A/B testing frameworks, causal inference, and uplift modelling into decision-making processes. Commercial and Domain Alignment Work closely with cross-functional teams in Digital Media, Revenue Management, and Competitions & Consumer Promotions to develop impactful data solutions. More ❯
a Data Scientist, you will: Dive into large datasets to extract meaningful insights and identify trends that drive strategic decision-making. Develop and refine predictive models and machine learning algorithms to address complex business challenges. Partner with cross-functional teams, including data engineers, analysts, and product managers, to design More ❯
quantitative field (Mathematics, Computer Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictivemodelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks More ❯
What You'll Be Doing: As a Data Scientist, your responsibilities will include: Collecting, analyzing, and interpreting large datasets to solve business challenges. Building predictive models and machine learning algorithms to inform product and business decisions. Collaborating with developers, engineers, and product teams to integrate data-driven solutions. Conducting More ❯
experts. Participate in different projects as a data scientist and data engineer Deliver clean, well-tested code that's reliable, maintainable, and scalable Build predictive models and communicate results with stakeholders Deploy working solutions Develop dashboards and other visualizations for financial experts. Develop processes for data collection, quality assessment More ❯
on Machine Learning, Statistics, Operational research or in a highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional experience - Knowledge of a statistical analysis package such as R, Tableau, and high-level programming More ❯
in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture … concepts to non-technical audiences Required Experience Leading E2E projects, from inception, planning/prioritisation to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictivemodelling and forecasting Experience deploying More ❯
in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture … concepts to non-technical audiences Required Experience Leading E2E projects, from inception, planning/prioritisation to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictivemodelling and forecasting Experience deploying More ❯
client has an office in London however, are open to making this role largely remote depending on candidate preference. Responsibilities: Build, innovate, and maintain predictive models within a proprietary Retail Pricing suite, directly impacting prices and customer experience. Collaborate with the Senior Pricing Analyst and key stakeholders to implement More ❯
client has an office in London however, are open to making this role largely remote depending on candidate preference. Responsibilities: Build, innovate, and maintain predictive models within a proprietary Retail Pricing suite, directly impacting prices and customer experience. Collaborate with the Senior Pricing Analyst and key stakeholders to implement More ❯
Join us as we build a more open world. Role Overview: This role involves querying sophisticated SQL-based databases, conducting detailed analyses (e.g., building predictive models), crafting reports, and visualizing insights in an intuitive manner. You will collaborate closely with skilled analysts across Expedia Group, supporting TPM Account Management More ❯
systems, making them a core part of how we support students globally. What are you responsible for Define the vision, strategy, and roadmap for predictive models and AI-driven engagement tools. Work with data teams to design models that predict student-program fit and likelihood of enrolment, using demographic … world student needs. What you'll have 5+ years of product management experience, including at least 2 years working directly with machine learning or predictive analytics products. Strong understanding of predictivemodelling, recommendation systems, and Generative AI applications. Experience operationalising machine learning products into customer-facing workflows. More ❯
own car. We are hiring a Junior Data Scientist to join a collaborative and innovative team that is shaping the future of credit risk modelling and forecasting. This is a fantastic opportunity to work closely with experienced professionals and gain hands on experience in predictivemodelling, loss … a growing, tech enabled financial services organisation. The Role You will be part of a small, high impact data science team responsible for: Developing predictive models such as scorecards and machine learning models for customer acquisitions and collections Supporting loss forecasting for both new business and the existing portfolio … Exploring new data sources and modelling techniques to improve performance and accuracy Working with tools like Python, T SQL, and Excel to manage data workflows and build solutions Collaborating across departments with teams in credit risk, finance, capital markets, and operations Monitoring model performance and contributing to regular validation More ❯
performance, identify trends, and uncover actionable insights to inform strategic decisions and optimise recovery rates. Partner with data science and analytics teams to build predictive models and enhance targeting and decision-making capabilities. Leadership: Help lead, mentor, and develop a high-performing team Represent the Collections and Recoveries strategy More ❯
