126 to 150 of 645 Permanent Predictive Modelling Jobs

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 ❯

currently recruiting for CRM Data Scientist for a leading gambling provider based in London. 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 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 ❯

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 ❯

will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of … methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing). Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making More ❯

will play a pivotal role in driving data-driven decision-making and shaping strategic initiatives. Your expertise will directly impact the organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business outcomes. You will take on the responsibility of developing and optimising machine learning models, analysing complex datasets, and collaborating closely … will play a pivotal role in driving data-driven decision-making and shaping strategic initiatives. Your expertise will directly impact the organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business outcomes. You will take on the responsibility of developing and optimising machine learning models, analysing complex datasets, and collaborating closely More ❯

team of 3. My client has an office in London; however, they are open to making this role largely remote depending on candidate preference. Responsibilities: Build, innovate, and maintain predictive models within a proprietary Retail Pricing suite, directly impacting prices and customer experience. Collaborate with the Senior Pricing Analyst and key stakeholders to implement price selection changes and provide 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 ❯

Data Science & AI Innovation Design and deploy machine learning models and advanced analytics that optimise performance, customer engagement, and profitability. Support strategic decision-making through data-driven insights and predictive modelling. Team Leadership & Capability Building Lead cross-functional teams of data scientists, engineers, and business experts. Foster a results-oriented, commercially-focused team culture. Collaborate across departments to align More ❯

Data Science & AI Innovation Design and deploy machine learning models and advanced analytics that optimise performance, customer engagement, and profitability. Support strategic decision-making through data-driven insights and predictive modelling. Team Leadership & Capability Building Lead cross-functional teams of data scientists, engineers, and business experts. Foster a results-oriented, commercially-focused team culture. Collaborate across departments to align More ❯

and visualisation experts that utilise advanced statistical techniques to analyse our HR, financial and marketing data. The role encompasses discovering and rationalising historical patterns in large data sets, developing predictive models, creating automated data solutions and researching machine learning techniques that are proprietary to Unilever. It also involves working to enhance the team's infrastructure by introducing new tools More ❯

and KPIs Improve access to fraud data through collaboration with engineering and data teams Present complex data findings to stakeholders in a clear and actionable manner Model Development Create predictive models and apply machine learning techniques to identify fraud risks Continuously evaluate and enhance fraud models to maintain detection accuracy Maintain clear documentation of methodology for use across both More ❯

and KPIs Improve access to fraud data through collaboration with engineering and data teams Present complex data findings to stakeholders in a clear and actionable manner Model Development Create predictive models and apply machine learning techniques to identify fraud risks Continuously evaluate and enhance fraud models to maintain detection accuracy Maintain clear documentation of methodology for use across both More ❯

free process to empower small businesses. The role Design and execute experiments: Develop and implement experiments to test marketing hypotheses across channels, segments, and audiences, deriving actionable insights. Develop predictive models: Create models for customer segmentation, retention, and lifetime value to inform business decisions. Communicate results: Effectively present complex findings to both technical and non-technical stakeholders to support More ❯

and optimize AI/ML algorithms and tools to enhance national security analysis. • Research and assess quantum computing architectures to identify novel solutions for computational challenges. • Design and evaluate predictive models and neural networks to enhance decision-making processes. • Support the evaluation and deployment of quantum-resistant algorithms and other advanced computing techniques. • Conduct performance benchmarking and scalability analyses More ❯

focus on understanding root causes and driving forward-looking opportunities - Perform statistical tests to establish trends, patterns, seasonality. Use data mining, model building, and other analytical techniques to develop predictive models - Establish relationship between output metrics and drivers to identify and control critical drivers to achieve the desired value of output metric. - Write functional specs for tools and drive More ❯

Data Science & AI Innovation Design and deploy machine learning models and advanced analytics that optimise performance, customer engagement, and profitability. Support strategic decision-making through data-driven insights and predictive modelling. Team Leadership & Capability Building Lead cross-functional teams of data scientists, engineers, and business experts. Foster a results-oriented, commercially-focused team culture. Collaborate across departments to align More ❯