301 to 325 of 787 Permanent Predictive Modelling Jobs

Amazon's businesses and locations around the world. Some of our work includes GenAI-powered writing assistance and insights, talent development and matching recommendations, experimentation and north star metrics, predictive and root cause models for talent events, voice of the customer qualitative analyses frameworks, and talent evaluation framework research. We are looking for an AI/ML scientist who … reach out to us to find out more! Key job responsibilities - Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders - Develop fair predictive models to understand important business and people-centered outcomes - Productionize ML and GenAI models at the scale of Amazon About the team ALX Science is an experienced central interdisciplinary More ❯

deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive models to design biological sequences and/or analyse biological sequence data (DNA, RNA or protein). Strong ability to communicate complex technical concepts effectively and collaborate closely with More ❯

the media and content space. Some key responsibilities of the role: Analyse large, complex datasets related to audience behaviour, website behaviour, content consumption, and engagement trends. Build and deploy predictive models using machine learning and time series algorithms to drive business decisions. Partner with Marketing, Sales, Product, and Engineering teams to shape data solutions and support product innovation. Run More ❯

technical delivery, working at the intersection of data, analytics, operations and business strategy. You'll lead a team of analysts while actively contributing to complex data projects, from building predictive models to delivering executive-level insights that shape our business strategy. What you ll do Team Leadership & Development • Lead and develop a team of data analysts, setting priorities and More ❯

technical delivery, working at the intersection of data, analytics, operations and business strategy. You'll lead a team of analysts while actively contributing to complex data projects, from building predictive models to delivering executive-level insights that shape our business strategy. What you’ll do Team Leadership & Development • Lead and develop a team of data analysts, setting priorities and More ❯

to-end pipelines for training, evaluating and deploying ML models to solve marketing problems Applying MLOps to operationalise ML models for clients’ marketing campaigns Supporting data scientists to build predictive models to improve media performance, customer experiences, revenue, and other outcomes across sectors like retail, telecoms, banking, and fast-food Developing performant data pipelines for AI model workflows Building More ❯

design and impact attribution Collaborate with cross-functional teams to surface strategic insights and greenfield opportunities Develop self-serve analytics tools, dashboards, and data literacy programs Build and maintain predictive models and use case clustering solutions Perform ETL tasks and model new data dimensions for strategic decision-making Attribute product and marketing impact to core KPIs with statistical rigor More ❯

and optimisation algorithms that drive media efficiency. Research and apply a broad range of data science methodologies, demonstrating a questioning mindset and resolving data issues. Use Python to create predictive models, analyze data, and build trends and behavioral predictions. Translate business requests into successful data science implementations in partnership with the product team and stakeholders. Understand project management at More ❯

and optimization algorithms that enhance media efficiency. Research and apply a broad range of data science methodologies, demonstrating a questioning mindset and resolving data issues. Use Python to create predictive models, analyze data, and develop trends and behavioral predictions. Work closely with business teams (Product and Stakeholders) to translate business questions into data science solutions. Understand project management at More ❯

contribute to innovative, data-driven solutions at one of the world's leading professional services firms. As a Data Scientist at PwC, the successful applicant will develop and deploy predictive models, design scalable APIs, and support strategic decision-making across various industries. The role requires a deep understanding of data science methodologies and the ability to work collaboratively across More ❯

deep data insights to COG, regional EMEA Leadership, local claims clusters/countries heads, and SLT. Your work will range from analyzing claims trends and KPIs to developing sophisticated predictive models and management recommendations. While basic data generation is handled offshore, advanced data interpretation and KPI trend analysis are conducted onshore, close to our business leaders. Key Responsibilities: Lead More ❯

based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. More details: Full time, permanent role Competitive salary Hybrid working (3 days office/ More ❯

based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. Full time, permanent role Hybrid working (3 office/2 home) Digicare+ Provided by More ❯

Data Scientist - Risk Modelling | Automotive🚘 | London (Hybrid) | £60,000-£90,000 Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They're the UK’s largest car leasing company and help over 750,000 people get on the road. My client are unique in that they provide comprehensive insurance as … field 3+ years of experience in forecasting or data analytics Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you: 💰Salary: £60,000-£90,000 📍Location: London (x3 More ❯

Data Scientist - Risk Modelling | Automotive🚘 | London (Hybrid) | £60,000-£90,000 Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They're the UK’s largest car leasing company and help over 750,000 people get on the road. My client are unique in that they provide comprehensive insurance as … field 3+ years of experience in forecasting or data analytics Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you: 💰Salary: £60,000-£90,000 📍Location: London (x3 More ❯

Social network you want to login/join with: Data Scientist - Risk Modelling, London (City of London) Client: Peaple Talent Location: London (City of London), United Kingdom Job Category: Other EU work permit required: Yes Job Views: 3 Posted: 16.06.2025 Expiry Date: 31.07.2025 Job Description: Peaple Talent has partnered with a leading automotive business that delivers smart & sustainable solutions … field 3+ years of experience in forecasting or data analytics Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive, Finance, or Manufacturing is highly desirable What's in it for you: Location: London (3 days a week onsite) Pension More ❯

is with Pearson, an inclusive employer and a member of myGwork – the largest global platform for the + business community. Please do not contact the recruiter directly. Data Scientist (Predictive Analytics Specialist) Location: Hybrid working, minimum 2 days in the Manchester (Salford Quays) Office Reports to: Head of Data Salary : £50K, plus target bonus of 8% About Pearson: Learning … transformation programme to migrate from on-prem to cloud based, cost effective, scalable and resilient services. About The Role: We are seeking a talented Data Scientist to drive our predictive analytics capabilities across commercial and operational processes. The successful candidate will apply advanced analytical techniques to forecast trends, optimise performance, and inform strategic decisions. This role will work closely … with cross-functional teams to enhance data-driven decision-making and contribute to the continuous improvement of our operations. Key Responsibilities: Predictive Modelling: Develop and implement predictive models to forecast key metrics such as sales performance, customer and learner behaviour, and operational efficiency. Data Analysis & Insight : Analyse complex datasets to uncover patterns, trends, and correlations that inform 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 ❯

Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation. 📍 Location: Central London (5 days … a week, with some flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/… Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯

Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation. 📍 Location: Central London (5 days … a week, with some flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/… Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯

and immediate impact on the future profitability and growth of the business, with key targets to increase conversion, retention and achieve target loss ratios. Responsibilities: Develop, validate and review predictive models including machine learning models Run data for modelling, pricing and monitoring Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring. …/send instructions for rate releases and review of rates into rate engine/live environment. Develop a balanced view of current and future pricing performance by combining MI, modelling results and company targets Maintenance of records to coordinate pricing decisions and implementation across teams, decision making bodies and implementation pathways Execution, development and project management across all stages … manipulate large datasets for analysis Experienced in the use of programming language (e.g. SAS) and/or statistical packages e.g. actuarial pricing software Experience in SOME of the following predictive modelling techniques e.g.Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets Experienced in the use of a More ❯

accuracy of immunoassay data analysis. Apply machine learning techniques, including Random Forest and neural networks, to classify sample types based on electrochemical measurements, supporting biomarker discovery Design and optimise predictive models to identify novel biomarker panels, combining healthcare data and biomarker signatures. Develop AI-driven classification models to differentiate between patient sub-types based on electrochemical sensor outputs. The … the central belt of Scotland The Successful Applicant To be successful in the role you will: PhD or MSc in Mathematics, Physics or related field Strong experience in computational modelling, data analysis, and machine learning techniques. Proficiency in Python, R, MATLAB, or other statistical programming languages. Knowledge of multivariate analysis techniques (e.g., PCA, PLS) and non-linear regression models. … Experience developing predictive machine learning algorithms (e.g., Random Forest, Neural Networks). Proficiency in SQL (preferably MySQL) and database management for engineering data storage Experience working with biomedical data science, bioinformatics or diagnostics is desired but not essential What's on Offer This is a fantastic opportunity to join an innovative and growing biotech developing cutting-edge technology. #J More ❯

to work on a specific project. Working alongside a close-knit team of developers and engineers, the KTP Associate will lead an innovative project to design, develop and implement predictive machine learning models for track and vehicle degradation using cutting-edge deep machine learning, and will integrate these into MoniRail's real-time monitoring system to deliver intelligent, data … monitor track geometry, ride comfort and vehicle performance. This approach enables real-time data collection without disrupting regular rail services, which enables early detection of track degradation and facilitating predictive maintenance strategies. Durham University is home to some of the most talented scholars and researchers from around the world who are tackling global issues and making a difference to … research excellence (REF 2021). Computer Science also holds an Athena Swan Silver Award. Specific responsibilities: The successful candidate will lead the development of advanced machine learning models for predictive maintenance in railway systems, working closely with MoniRail Ltd and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse More ❯

individual contributor (IC) path — both well-supported in the organisation. You'll collaborate with stakeholders across marketing, product, engineering, and leadership, helping drive key decisions through analytics, experimentation, and predictive modelling. Your work will be highly visible and make a tangible impact on customer experience, commercial performance, and strategic planning. Initial Focus Areas Marketing & Channel Measurement - Understand and optimise … marketing investments and channel performance. User Engagement & Churn - Analyse behaviours to drive customer retention and lifetime value. Forecasting & Predictive Modelling - Build models that inform planning, budgeting, and strategic decision-making. Commercial Opportunity Identification - Partner with commercial teams to surface high-value growth opportunities across key markets. Your Skills and Experience: We're looking for a pragmatic and commercially More ❯