1 to 25 of 96 Remote Predictive Modelling Jobs

If you're a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you! This is a fantastic opportunity to join our client at the … an exciting time to be part of its data science team. The role. We are looking for a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation. You will Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance. Build and deploy predictive models, enhancing customer behaviour forecasting and operational insights. Maintain and further develop pricing analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play More ❯

Scientist (Industry experience in Gaming/Gambling Required) Contract 6 months Fully Remote ASAP start £500 a day/outside Ir35 - Graph Theory - Propensity modelling/Predictive Modelling - Gaming Industry Experience Desired Skills and Experience - Graph Theory - Propensity modelling/Predictive Modelling - Gaming Industry More ❯

At Football Radar, our mission is to be the world-leading provider of football analytics. For over a decade, we have combined predictive modelling techniques with expert analysis and our proprietary datasets to deliver insights that drive success for our betting clients and football clubs. By combining the … go hand in hand. About The Role As a Quantitative Analyst on our prediction team, you will use our extensive datasets to enhance existing predictive models, research new methods, and turn your insights into production-ready solutions. This research will involve a mix of well-executed analyses and innovative … modelling to solve unique challenges in football analytics, where traditional methods often need to be adapted or reinvented. To achieve this, you will have the freedom to explore and develop your own ideas while working collaboratively with a team of quants, developers, and analysts, to combine technical expertise with More ❯

with cross-functional teams, including data translators and business stakeholders, to align data science initiatives with strategic objectives. Skilled in deploying, monitoring, and refining predictive models and algorithms to drive continuous product improvements and strategic decision-making. Openness to working in agile environments with multiple stakeholders, experienced in SAF More ❯

and growth through data insights, has an analytical mindset, and has problem-solving abilities, focusing on delivering actionable insights. Desirable Criteria Knowledge of data modelling techniques. Experience with advanced analytics techniques, such as predictive modelling, Mathematical prediction, and data mining. Understanding of machine learning and AI. Understanding 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, predictive modelling and explanatory modelling to identify trends. Ability to work well under pressure and achieve results within the scheduled time-frame. Excellent More ❯

Our existing operational framework accommodates remote work with the ability to work onsite in Tysons, VA as needed. Responsibilities Conduct data analysis and build predictive models using Python, SQL, and machine learning libraries. Develop and implement AI/ML algorithms to solve real-world problems. Assist in the development More ❯

explain complex data concepts in an accessible way. Solid understanding of SQL, DAX and M languages for data transformation and analysis. Proficiency in data modelling techniques, including both tabular and multidimensional models, and an understanding of data lakes and Azure cloud platforms. A keen attention to detail to ensure … resonate with stakeholders and empower them to make strategic decisions. Technical Proficiency : Expertise in Power BI (including DAX and M languages), SQL, and data modelling techniques. Advanced Analytics : Familiarity with advanced analytics, including techniques like predictive modelling, regression analysis, and clustering, is a plus. Strong Communication : Exceptional More ❯

explain complex data concepts in an accessible way. Solid understanding of SQL, DAX and M languages for data transformation and analysis. Proficiency in data modelling techniques, including both tabular and multidimensional models, and an understanding of data lakes and Azure cloud platforms. A keen attention to detail to ensure … resonate with stakeholders and empower them to make strategic decisions. Technical Proficiency : Expertise in Power BI (including DAX and M languages), SQL, and data modelling techniques. Advanced Analytics : Familiarity with advanced analytics, including techniques like predictive modelling, regression analysis, and clustering, is a plus. Strong Communication : Exceptional 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 implement AI solutions that can improve internal workflows and deliver superior results for our clients. Whether you are reducing manual processes or developing predictive models, we provide the tools and support to make AI an integral part of your work. Let's talk salary. The annual salary range More ❯

data science. As a Senior Data Scientist, you'll be expected to take ownership of end-to-end projects, working with large datasets, building predictive models, and applying advanced analytical techniques to solve complex business problems. The role requires someone who is comfortable with ambiguity and can deliver solutions More ❯

techniques, wider department goals, and cross-functional collaboration to deliver impactful analytical solutions. Duties and Responsibilities: 1. Advanced Analytics and Modeling Design and implement predictive models for key outcomes like conversion propensity and lead scoring Apply machine learning techniques including classification, regression, clustering, and recommendation systems Develop and validate More ❯

Science ideally with experience as an Data Scientist or similar Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modelling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS, R) Ability to work effectively in a dynamic More ❯

Responsibilities Analyze complex data sets to identify trends and patterns Develop and implement predictive models to drive business decisions Collaborate with business stakeholders to identify opportunities for data-driven growth Design and implement data visualizations to communicate insights Ensure data quality and integrity through data validation and testing Stay 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 ❯

Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and … or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the … relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical More ❯

Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and … or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the … relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical 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 ❯

commercial, product, and engineering, to build automated ML/AI solutions that will provide tangible benefits for Travel Counsellors. Principal Accountabilities Build and deploy predictive models for optimising pricing, personalised recommendations, and operational efficiencies. Collaborate with data and software engineers to operationalise ML models within our wider technology platform More ❯

of anti-fraud, investigations, anti-bribery and corruption, and regulatory requirements analysis skillsets Proven knowledge and experience using advanced analytic tools for data visualization, predictive modeling, data management, ETL, data aggregation, and dynamic reporting Hands-on technical experience mining and analyzing structured data with a strong working knowledge of 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 predictive modelling and forecasting Experience deploying More ❯

CRM systems, and transactional databases. Interpret data to identify trends, patterns, and areas for improvement in the customer experience journey. Apply statistical techniques and predictive modelling to forecast customer trends and anticipate future needs. Use exploratory analysis to detect patterns, correlations, and anomalies in data. Data Management & Engineering More ❯

of AI-powered analytics for autonomous robotic systems. Key Responsibilities: Develop and implement machine learning algorithms, focusing on multimodal data integration. Design and deploy predictive models for condition monitoring of high-voltage assets. Collaborate with cross-functional teams to integrate AI solutions into autonomous robotic systems. Analyze large datasets More ❯

Plotly). Experience in behavioural analytics software (Google Analytics or similar) Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of mentoring and coaching junior analysts, acting as a subject matter expert in business analytics. WHO WE More ❯