51 to 67 of 67 Predictive Modelling Jobs in the South East

countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania) Role: You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects. We look for candidates like you More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively … within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve … modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively … within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve … modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively … within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve … modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale More ❯

Cloud: Implement Einstein Case Classification. Configure Einstein Article Recommendations. Support longer-term roadmap towards Agentforce for Service (target: end of year). 2. Integrating & Maintaining Non-SF Systems 6sense - predictive modelling and ABM integration. 6sense Conversational Email setup. Implement and integrate Sales Engagement platform (likely Gong Engage). Planhat (CSP platform) - integration and configuration. HubSpot - ensure smooth bi More ❯

Article Recommendations. Contribute to longer-term Salesforce initiatives such as Agentforce for Service. 2. Systems Integration & API Work Build and maintain integrations between Salesforce and external platforms, including 6sense (predictive modelling & ABM). 6sense Conversational Email. Gong Engage (sales engagement). Planhat (Customer Success). HubSpot (marketing automation with bi-directional Salesforce sync). Ensure data quality, consistency More ❯

integration and optimisation of cutting-edge systems. As a pivotal member of our Finance team, you will: Drive Strategic Initiatives : Analyse financial implications of transformation and diversification strategies, create predictive models, and support cash flow forecasting. Enhance Data Governance : Ensure data accuracy and compliance, conducting integrity checks to support audit readiness and regulatory standards. Collaborate Across Teams : Partner with More ❯

models and work with cutting-edge technologies. They aim to become the world's largest establishment providing services based on Machine Learning models in the Risk Space. Responsibilities: Develop predictive models and scorecards (e.g., logistic regression, machine learning) for acquisitions, collections, and portfolio analysis. Forecast credit losses and monitor performance at both portfolio and funder levels. Explore new data … sources and modelling techniques; regularly use Python, T-SQL, and Excel for data analysis and reporting. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong proficiency in Python and experience with relevant ML libraries/frameworks. Proven expertise in implementing Machine Learning and clustering techniques. Excellent communication skills and ability to engage with teams and More ❯

models and work with cutting-edge technologies. They aim to become the world's largest establishment providing services based on Machine Learning models in the Risk Space. Responsibilities: Develop predictive models and scorecards (e.g., logistic regression, machine learning) for acquisitions, collections, and portfolio analysis. Forecast credit losses and monitor performance at both portfolio and funder levels. Explore new data … sources and modelling techniques; regularly use Python, T-SQL, and Excel for data analysis and reporting. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong proficiency in Python and experience with relevant ML libraries/frameworks. Proven expertise in implementing Machine Learning and clustering techniques. Excellent communication skills and ability to engage with teams and More ❯

spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: Utilise advanced statistical … techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow … researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a More ❯

spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: Utilise advanced statistical … techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow … researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a More ❯

paced, high-growth startup environment with shifting priorities. Preferred Qualifications Experience with mobile consumer apps and/or subscription business models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods for monetization … analytics (churn models, survival analysis, predictive LTV). Benefits Be the first dedicated product analyst at 44pixels — set the foundations for growth analytics at scale. Meaningful work with direct impact on global user acquisition and monetization. Career-defining opportunity in a fast-growing, venture-backed startup. Collaborative and innovative team environment. Significant investment in your learning and growth. Competitive More ❯

paced, high-growth startup environment with shifting priorities. Preferred Qualifications Experience with mobile consumer apps and/or subscription business models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods for monetization … analytics (churn models, survival analysis, predictive LTV). Benefits Be the first dedicated product analyst at 44pixels — set the foundations for growth analytics at scale. Meaningful work with direct impact on global user acquisition and monetization. Career-defining opportunity in a fast-growing, venture-backed startup. Collaborative and innovative team environment. Significant investment in your learning and growth. Competitive More ❯

paced, high-growth startup environment with shifting priorities. Preferred Qualifications Experience with mobile consumer apps and/or subscription business models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods for monetization … analytics (churn models, survival analysis, predictive LTV). Benefits Be the first dedicated product analyst at 44pixels — set the foundations for growth analytics at scale. Meaningful work with direct impact on global user acquisition and monetization. Career-defining opportunity in a fast-growing, venture-backed startup. Collaborative and innovative team environment. Significant investment in your learning and growth. Competitive More ❯

pipelines.Enhance efficiency of data processing across both scheduled and real-time operations.Implement systems for tracking data lineage, tagging, and operational logging.Advanced Analytics & AI Readiness Prepare structured datasets to support predictive modeling and other intelligent applications.Empower business users with reliable, self-service data assets.Partner with analytics teams to transition prototypes into scalable solutions.Data Governance & Security Safeguard sensitive information in line … are looking for a candidate that has experience in... Extensive experience in implementing solutions around Databricks, Azure Data Factory, SQL, Python Excellent understanding of Microsoft SQL Server and data modelling,An understanding of SQL, T-SQL, ETL/ELT, and Data Pipelines.Previous exposure in a Data Engineering capacity is highly sought after. Strong hands-on experience in Data Warehouse More ❯

core simulation engine is built in C++ , so any experience with C++ in high-performance environments is a major plus. Key Responsibilities: Work with data science teams to optimise predictive models and deploy them at scale Build robust, scalable services in Python , with performance-critical elements in C++ Contribute to the development of a digital twin platform to simulate … forecast city infrastructure outcomes Collaborate across simulation, data, and software teams to turn prototypes into production-ready solutions (Bonus) Integrate streaming data pipelines using Kafka to support real-time modelling Experience: Strong commercial experience in Python engineering Exposure to C++ , especially in simulation, modelling, or high-performance systems Proven track record working closely with data scientists to bring … models into production Background in simulation-heavy domains (e.g. finance, oil & gas, energy, transport) Experience with Kafka or distributed messaging systems is highly desirable Systems thinker — interested in how predictive models drive real-world infrastructure impact The Details: Inside IR35 £600-650p/d 2 days per week in central London Start: ASAP 6 month rolling contracts More ❯

core simulation engine is built in C++ , so any experience with C++ in high-performance environments is a major plus. Key Responsibilities: Work with data science teams to optimise predictive models and deploy them at scale Build robust, scalable services in Python , with performance-critical elements in C++ Contribute to the development of a digital twin platform to simulate … forecast city infrastructure outcomes Collaborate across simulation, data, and software teams to turn prototypes into production-ready solutions (Bonus) Integrate streaming data pipelines using Kafka to support real-time modelling Experience: Strong commercial experience in Python engineering Exposure to C++ , especially in simulation, modelling, or high-performance systems Proven track record working closely with data scientists to bring … models into production Background in simulation-heavy domains (e.g. finance, oil & gas, energy, transport) Experience with Kafka or distributed messaging systems is highly desirable Systems thinker — interested in how predictive models drive real-world infrastructure impact The Details: Inside IR35 £600-650p/d 2 days per week in central London Start: ASAP 6 month rolling contracts More ❯