51 to 75 of 325 Remote Predictive Modelling Jobs

people in the global DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation. Overview: Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer segmentation, predictive modelling, forecasting and other algorithms. Our work delivers an in-depth understanding of consumer behaviours and supports multi-channel targeting and personalization. What you will be doing: You'll join a London-based agile team building and supporting data science products that drive business impact across PlayStation. You'll collaborate closely with other data scientists, engineers, and product … marketing, operations, engineering, product planning, R&D, and finance. We are hiring for two vital teams within Data Science: Forecasting & Value Models: With a focus on forecasting and value modelling, you will help PlayStation quantify and anticipate the future value of our customer base, powering commercial decisions that affect strategy and planning. Your work will enable the business to 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 ❯

data integration platforms, and automated risk management solutions for prestigious asset management firms. Public Sector: We're trusted by multiple UK government departments and public sector organisations to deliver predictive maintenance systems, supply chain optimisation, and process automation. SaaS, Manufacturing & More : From innovative SaaS providers to global manufacturing leaders, our cross-industry expertise ensures we bring diverse perspectives to … data into actionable insights that drive remarkable results for our clients. Why You'll Love QuantSpark Work That Matters: Lead high-impact analytics projects across diverse sectors-from building predictive models that help private equity firms identify value creation opportunities to creating inventory optimisation algorithms for household-name retailers.Tackle Exciting Challenges: Design and implement technically sophisticated solutions such as … real-time analytics platforms for FTSE 100 companies, automated risk assessment systems for asset managers, and predictive maintenance pipelines for government departments. Build Solutions That Scale: Your analytics engineering will power data products used by millions of customers, from recommendation engines for major retailers to fraud detection systems for financial institutions. Shape Technical Standards: As a growing consultancy, you More ❯

cloud infrastructure e.g. AWS, OCI Experience of Power BI and management of semantic models Understanding of Quality Engineering processes including data reconciliation and data quality validation Knowledge of data modelling techniques Knowledge of designing and developing shared data products Experience with advanced analytics techniques, such as predictive modelling, Mathematical prediction, and data mining. Understanding of machine learning More ❯

cloud infrastructure e.g. AWS, OCI Experience of Power BI and management of semantic models Understanding of Quality Engineering processes including data reconciliation and data quality validation Knowledge of data modelling techniques Knowledge of designing and developing shared data products Experience with advanced analytics techniques, such as predictive modelling, Mathematical prediction, and data mining. Understanding of machine learning More ❯

cloud infrastructure e.g. AWS, OCI Experience of Power BI and management of semantic models Understanding of Quality Engineering processes including data reconciliation and data quality validation Knowledge of data modelling techniques Knowledge of designing and developing shared data products Experience with advanced analytics techniques, such as predictive modelling, Mathematical prediction, and data mining. Understanding of machine learning More ❯

environment, we would love to hear from you. Core responsibilities Customer insights: Interpret and analyse dashboards to identify key trends, opportunities, and risks across the business. Customer behaviour analysis & modelling: Conduct deep dive analyses on customer behaviour, including geo-demographics, transactional data, and time of day. Investigate drivers of retention and develop predictive models to inform improvements. Segmentation 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 up-to-date with industry trends and emerging technologies Skills More ❯

and small corporate trading businesses transform fragmented data into actionable insights. Unlike traditional dashboards that offer little insight, Buzz serves as a strategy analyst in a box, offering clear, predictive insights to prioritize actions and improve business performance as your natural language analytical co-pilot. We tackle critical issues like customer churn, email engagement, and product profitability by connecting … platform and ensure it meets the real-world needs of businesses in data-driven decisioning. AI Integration & Innovation: Lead the integration of AI and machine learning algorithms to create predictive insights and actions that improve business outcomes (but we'll start with Python!). Innovate on new ways to stitch together fragmented data from different SaaS platforms to generate … and focused on delivering value. What We’re Looking For: Technical Expertise: Strong experience in AI, machine learning, and data integration—especially in connecting disparate data sources and creating predictive models. Familiarity with application in small to medium-sized business contexts is a plus. Leadership & Strategy: Proven experience in leading product development from 0-1. Ability to align More ❯

We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves developing predictive models to anticipate cyber threats and enhance security protocols, leveraging AI and machine learning techniques. Key Responsibilities: Predictive Modeling: Develop and implement machine learning models to forecast potential cybersecurity threats More ❯

team and play a key role in maximizing both customer acquisition and retention across the business. Youll 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. Requirements What We're Looking For 5+ years of experience in data science, ideally in growth, marketing, or product-focused roles. Deep understanding of LTV More ❯

real impact. The Opportunity As 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 and implement impactful data-driven More ❯

across channels (Google, Facebook, affiliates, etc.) to evaluate effectiveness and ROI. Develop and optimise complex SQL queries for large datasets. Utilise Python/R for data analysis, exploration, and predictive modeling. Create dashboards to visualise marketing metrics and performance indicators. Identify trends and insights to recommend improvements in marketing strategies. Collaborate on designing and executing A/B tests More ❯

problems and delivering meaningful insights. 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 exploratory data analysis and creating More ❯

data-driven projects • Manage high-impact analytics initiatives with support from the Analytics Manager and Lead Analyst on large or more complex projects • Build, develop and refine statistical and predictive models to better understand customer behaviour and optimise business outcomes • Tell compelling stories with data to influence decisions and inspire change • Conduct peer reviews and contribute to a culture More ❯

and modeling. Understanding of user research to complement quantitative insights. Curious, collaborative team player capable of prioritizing in a fast-paced environment. Nice to have: Familiarity with customer segmentation, predictive modeling, and machine learning techniques. Experience supporting data-driven product roadmaps and experimentation programs. Keen interest in trading and investing. Basic knowledge of HTML, CSS, JavaScript. How we work 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 ❯

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 ❯

Haven, playing a key role in automating and optimising our Holiday pricing system. This is an exciting opportunity for a data-driven professional to shape strategic decisions using statistical modelling, machine learning, and operations research techniques. With a strong emphasis on business impact, you’ll work collaboratively across departments to transform data into clear, actionable insights that power better … EBITDA performance Embed data at the heart of decision-making processes across the organisation What We’d Like You to Bring: Strong proficiency in statistical analysis, machine learning, and predictive modelling Advanced knowledge of programming tools such as Python, R, and Microsoft SQL Proven ability to translate complex data into meaningful business recommendations Experience managing multiple projects with More ❯

identify patterns and relationships in 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 stakeholder management skills and experience 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 ❯

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 ❯

solve complex business challenges? Do you thrive at the intersection of business strategy and advanced analytics? Are you ready to guide world-class brands through the evolving landscape of predictive modeling, machine learning, and AI-driven solutions? Join our team as a Data Solutions Consultant specializing in Advanced Data Solutions and help our clients transform their data capabilities into … clients collect, analyze, and activate data at scale to create impactful customer experiences and drive measurable business results. We help propose, design and deliver advanced data solutions that support predictive modeling, machine learning applications, AI-driven insights, and data-driven decision making. Our work includes: Presales advisory :Having initial conversations to understand client challenges, define use cases that could … Light travel activity can be required for client workshops. Our Data Solution Consultants specializing in Advanced Data Solutions focus on: Translating business challenges into data driven solutions. Consulting on predictive modeling approaches and methodologies. Providing input and sparring on model selection, validation, and implementation. Supervising data scientists and engineers on technical implementation. Developing strategies for leveraging data science in 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 ❯