151 to 175 of 793 Predictive Modelling Jobs

A MS in CS focused 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 language (E.g. Python) used in More ❯

A MS in CS focused 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 language (E.g. Python) used in More ❯

A MS in CS focused 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 language (E.g. Python) used in More ❯

advanced analytics applied to large-scale data-intensive projects. Req Skills and Abilities: Demonstrated experience with advanced statistical packages and software. Demonstrated experience building and applying machine learning/predictive modeling in real-world use cases. Strong modeling and data manipulation skills. Strong written and verbal communication skills. Strong programming capability; ability to solve problems through programming and simulation. More ❯

include: Leading the development + delivery of Data Analytics solutions that support strategic decision-making for clients. Managing data solutions projects, including: data strategy, data sourcing, data wrangling, data modelling, data visualisation + data dashboards. Must have strong Data Analytics experience including: SQL and data visualisation tools (PowerBI, Tableau or Looker). Building interactive data dashboards and reports using … Power BI or Tableau. Extracting, cleansing and modelling data from multiple sources to develop clear data insights. Statistical analysis or predictive modelling experience preferred. Working with key stakeholders to scope data requirements + define data solutions. Driving continuous improvement in data analytics processes + data governance policies. Mentoring junior data analysts, data governance + establishing best practices More ❯

analysis process, transforming small and large datasets into manageable formats for import into our software. You’ll also be supporting on the design and automation of data pipelines, building predictive models, and piloting new tools. We’ll teach you the environmental context - your superpower is data, code, and a knack for creating reliable, repeatable solutions. We’re looking for … measurement (Scopes 1, 2 & 3) Workflow innovation - finding and implementing more efficient, automated ways to handle large, messy datasets Support with automated reporting via templates, APIs or lightweight scripts Predictive modelling & scenario analysis to help clients plan net-zero pathways You’ll be our in-house champion for improving offline data processes, standardising imports into our platform, and … Footprint Measurement Apply the GHG Protocol (Scopes 1-3) using our in-house calculator and external factor libraries Research and validate emission factors, benchmarks and supplier disclosures Future Focus Predictive Modelling & Scenario Analysis Build simple models (regression, gap-filling) to forecast emissions and identify hotspots Build models for Net-Zero pathways and reduction strategies Automation & Reporting Support on More ❯

analysis process, transforming small and large datasets into manageable formats for import into our software. You’ll also be supporting on the design and automation of data pipelines, building predictive models, and piloting new tools. We’ll teach you the environmental context - your superpower is data, code, and a knack for creating reliable, repeatable solutions. We’re looking for … measurement (Scopes 1, 2 & 3) Workflow innovation - finding and implementing more efficient, automated ways to handle large, messy datasets Support with automated reporting via templates, APIs or lightweight scripts Predictive modelling & scenario analysis to help clients plan net-zero pathways You’ll be our in-house champion for improving offline data processes, standardising imports into our platform, and … Footprint Measurement Apply the GHG Protocol (Scopes 1-3) using our in-house calculator and external factor libraries Research and validate emission factors, benchmarks and supplier disclosures Future Focus Predictive Modelling & Scenario Analysis Build simple models (regression, gap-filling) to forecast emissions and identify hotspots Build models for Net-Zero pathways and reduction strategies Automation & Reporting Support on More ❯

less typical, help us understand how your thinking has been shaped and why it stands up. What You’ll Be Working On You'll be directly involved in: Developing predictive models to identify patterns in student behaviour and engagement, using real data from hundreds of thousands of students Refining student personas by analysing survey responses, behavioural data, and qualitative … and clearly communicating your methods and results, ensuring reproducibility and clarity This role is deeply analytical and technical, designed to rapidly build your practical skills in data science and predictive modelling within a real, high-impact environment. Required Skills You'll be right for this role if: You have strong analytical skills, demonstrated by excellent academic results, research … projects, academic papers, or high placements in data science competitions You have practical experience with statistical modelling or machine learning techniques (regression analysis, clustering, classification, predictive modelling) through coursework, internships, or independent projects You are proficient in Python (especially pandas, numpy, scikit-learn, or similar libraries) and comfortable performing data analysis using Jupyter notebooks or similar tools More ❯

leave pay and free membership of employee assistance and parental programs, plus reimbursement towards relevant professional development and memberships. About the opportunity We are one of the largest transport modelling teams in the UK and Europe and offer unparalleled diversity of projects and exposure to different types of clients in the UK and internationally. Such depth offers opportunities for … a range of career paths whether it is technical excellence, technical leadership or management roles. We are a friendly team with a number of modelling excellence centres in the UK, Poland and India. We operate without divisions as One Jacobs, with management practices and systems designed to take down regional barriers and encourage cross-office working. Our Transport Team … Data to analyze vehicle and people movement patterns across highway and sustainable transport modes. Key work areas include: * Trend analysis, clustering, data fusion, and engineering * Advanced transport model inputs * Predictive modeling using Machine Learning * Predictive Discrete choice modeling We are open to flexible working arrangements and have successfully embedded hybrid working into our delivery style. With a network More ❯

leave pay and free membership of employee assistance and parental programs, plus reimbursement towards relevant professional development and memberships. About The Opportunity We are one of the largest transport modelling teams in the UK and Europe and offer unparalleled diversity of projects and exposure to different types of clients in the UK and internationally. Such depth offers opportunities for … a range of career paths whether it is technical excellence, technical leadership or management roles. We are a friendly team with a number of modelling excellence centres in the UK, Poland and India. We operate without divisions as One Jacobs, with management practices and systems designed to take down regional barriers and encourage cross-office working. Our Transport Team … Data to analyze vehicle and people movement patterns across highway and sustainable transport modes. Key work areas include Trend analysis, clustering, data fusion, and engineering Advanced transport model inputs Predictive modeling using Machine Learning Predictive Discrete choice modeling We are open to flexible working arrangements and have successfully embedded hybrid working into our delivery style. With a network More ❯

science teams to create solutions for large business problems. You will collaborate closely with experienced data scientists focusing on advanced challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision … environment or completed a PhD with two years of suitable industry or research experience in a Data Science role. Strong Python skills with experience in Natural Language Processing and Predictive Modelling, alongside solid SQL capabilities. Experience in creating, deploying, and tuning complex, non-linear predictive models to solve business problems using Python and associated Data Science tooling. More ❯

spanning the globe to ensure we deliver best in class risk prevention solutions Your key responsibilities Develop a thorough understanding of the data science lifecycle, including data exploration, preprocessing, modelling, validation, and deployment. Design, build, and maintain tree-based predictive models, such as decision trees, random forests, and gradient-boosted trees, with a low-level understanding of their … accuracy and reliability of data models. Communicate complex data insights to non-technical stakeholders through clear and actionable reports. Apply domain knowledge (if applicable) in financial fraud to enhance predictive modelling and anomaly detection capabilities. Skills and attributes for success Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention More ❯

spanning the globe to ensure we deliver best in class risk prevention solutions Your key responsibilities Develop a thorough understanding of the data science lifecycle, including data exploration, preprocessing, modelling, validation, and deployment. Design, build, and maintain tree-based predictive models, such as decision trees, random forests, and gradient-boosted trees, with a low-level understanding of their … accuracy and reliability of data models. Communicate complex data insights to non-technical stakeholders through clear and actionable reports. Apply domain knowledge (if applicable) in financial fraud to enhance predictive modelling and anomaly detection capabilities. Skills and attributes for success Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention More ❯

spanning the globe to ensure we deliver best in class risk prevention solutions. Your Key responsibilities Develop a thorough understanding of the data science lifecycle, including data exploration, preprocessing, modelling, validation, and deployment. Design, build, and maintain tree-based predictive models, such as decision trees, random forests, and gradient-boosted trees, with a low-level understanding of their … accuracy and reliability of data models. Communicate complex data insights to non-technical stakeholders through clear and actionable reports. Apply domain knowledge (if applicable) in financial fraud to enhance predictive modelling and anomaly detection capabilities. Skills and attributes for success Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention More ❯

and play a key role in maximizing both customer acquisition and retention across the business. You'll work closely with growth, product, and analytics stakeholders to uncover insights, build predictive models, and drive high-impact decision-making through experimentation and forecasting. This is a high-visibility role where your work will directly influence business strategy, growth initiatives, and long … and non-technical stakeholders. Delve into large-scale datasets using SQL and perform advanced statistical techniques in Python. Continuously evaluate and improve existing models and testing frameworks to increase predictive accuracy and business impact. How Will Your Time Be Spent? 30% on Analysis - Mining and analysing customer, growth, marketing, and operations data to uncover insights that inform strategic decisions. … This includes building dashboards, running cohort analyses, and identifying trends and anomalies. 25% on Data Science & Modelling - Developing predictive models (e.g., churn prediction, CLV forecasting, segmentation models), conducting A/B test analysis, and applying machine learning to solve real business problems. Collaborating with engineers to validate and deploy models. 20% on Strategy & Stakeholder Collaboration - Partnering with marketing More ❯

First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: You'll use machine learning and statistical modelling tools to generate customer, marketing, and commercial insights, which in turn will inform marketing strategy, pricing & product development for the business. You'll identify efficiencies in the use of … a similar statistical analysis package. Strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI. Experience in developing and deploying predictive models using machine learning frameworks and working with big data technologies. Experience in cleansing and enriching data, interpreting business requirements in terms of data architecture, database technology, and data More ❯

investment and is integral to strategic decision-making across the business. In this role, you’ll work with large-scale, complex datasets – both quantitative and qualitative – applying statistical analysis, predictive modelling, and visualisation techniques to support business reporting, stakeholder engagement, and research projects. Why apply? Shape the future – Your insights will influence organisational strategy, thought leadership, and programme More ❯

service providers. You will deliver high quality solutions for our clients, working closely with them to not only understand but pre-empt their needs. Solutions could include analytics, statistical modelling, forecasting, predictive modelling, ML and AI. Your work will position BlackRock as the preeminent private markets’ technology and data provider, strengthening their ability to serve clients’ whole More ❯

optimise location strategies across physical and digital landscapes. Projects typically last from a week to six months, covering performance analysis, customer insights, network strategies, BI & visualization, and advanced AI predictive modelling. We work closely with clients to understand their goals, incorporate feedback, and develop bespoke solutions. What you'll be doing Joining the Solution Consulting team, you will be … with you as a Subject Matter Expert to design solutions. You will remain involved as a Project Director, ensuring recommendations meet client needs. Project teams include experts in geospatial modelling, location planning, data engineering, software, and data development, along with a project manager. Client relationships are valued, and solutions have broad applications. You will become a trusted advisor, helping More ❯

analysis process, transforming small and large datasets into manageable formats for import into our software. You’ll also be supporting on the design and automation of data pipelines, building predictive models, and piloting new tools. We’ll teach you the environmental context - your superpower is data, code, and a knack for creating reliable, repeatable solutions. We’re looking for … methods in plain English Great attention and care for detail Self-starter attitude: proactive, resourceful, and eager to learn new technologies Future Focus Exposure to machine learning or statistical modelling libraries Familiarity with the Greenhouse Gas Protocol and basic carbon-accounting principles What We Offer Starting salary £30 – 35k, with opportunity for role progression We’re a London-based More ❯

and unstructured datasets with a focus on data preparation, transformation, outlier detection, and feature engineering. Collaborate on the design of ESG constraints for client-driven investment solutions, help build predictive models and design interactive data applications. We're Looking for Teammates With: Bachelor's degree in Quantitative Finance, Computer Science, Mathematics, Statistics, or a related STEM field, with 2+ … organized and detail-oriented, with a methodical approach to work, strong multi-tasking skills, and the ability to collaborate across regional offices and time zones. Proficient in financial analysis, modelling, and statistics, with experience extracting insights from heterogeneous multi-dimensional datasets. Ability to apply machine learning techniques (e.g., scikit-learn, PyTorch, TensorFlow) and present complex data visually using Matplotlib More ❯

models, analytics frameworks, and experimentation strategies across the platform. Analyze user journeys and behavioral data across tenants to uncover insights that inform product and engagement strategies. Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc. Design and analyze experiments (A/B testing, cohort studies) to assess feature … financial services sector. Skills Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker, Power BI More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques … and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with … might expect to work on: Predicting future expected value and future potential value of individual customers. Real-time prediction of customer churn. Building multi-level customer segmentation driven by predictive models. Here's what we offer: Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: • Analyze large datasets to uncover patterns and insights related to customer behavior. • Develop predictive models to forecast customer activities and trends. • Collaborate with cross-functional teams to implement data-driven strategies. • Define and track key performance indicators (KPIs). • Utilize machine learning techniques … and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with … might expect to work on: • Predicting future expected value and future potential value of individual customers. • Real-time prediction of customer churn. • Building multi-level customer segmentation driven by predictive models. Here's what we offer: • Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: • Analyze large datasets to uncover patterns and insights related to customer behavior. • Develop predictive models to forecast customer activities and trends. • Collaborate with cross-functional teams to implement data-driven strategies. • Define and track key performance indicators (KPIs). • Utilize machine learning techniques … and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with … might expect to work on: • Predicting future expected value and future potential value of individual customers. • Real-time prediction of customer churn. • Building multi-level customer segmentation driven by predictive models. Here's what we offer: • Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with More ❯