76 to 100 of 325 Remote Predictive Modelling Jobs

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 ❯

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 ❯

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 ❯

as survival analysis, machine learning, meta-analysis, mixed-effects modeling, Bayesian methods, and variable selection techniques. Proficiency in R and Python, with experience in data visualization, exploratory analysis, and predictive modeling. Excellent communication skills, both verbal and written. Ability to develop clear presentations for decision-making meetings. Why Novartis Helping people with diseases and their families requires more than More ❯

discoverability, and support Open Science initiatives. Collect, clean, and analyze large datasets of scientific content and related information from various sources, ensuring data quality and integrity. Build and test predictive models and machine learning algorithms for tasks such as entity extraction, workflow automation, and enhancing the understanding of scientific content. Visualize and present findings in a clear, concise, and More ❯

discoverability, and support Open Science initiatives. Collect, clean, and analyze large datasets of scientific content and related information from various sources, ensuring data quality and integrity. Build and test predictive models and machine learning algorithms for tasks such as entity extraction, workflow automation, and enhancing the understanding of scientific content. Visualize and present findings in a clear, concise, and More ❯

Finance to achieve key business objectives and support business growth Develop Actionable Insights and Data Science Solutions Lead initiatives to enhance analytics and data science capabilities, driving innovation in predictive modeling, machine learning, and customer insights. Roll out product data driven features to improve product differentiation and customer experience. Build a Bespoke Enterprise Reporting Function Lead the development of More ❯

complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation of analytics practice within the … the task. Familiarity with version control and other IT delivery tools is required Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience Exceptional written communications skills More ❯

Data Architect will collaborate closely with stakeholders across the business and in particular with data engineering, data science, and pricing teams to optimise data solutions that drive business intelligence, predictive modelling, and real-time decision-making. The role also involves leading innovation by adopting best practices in cloud-based data architecture, ensuring alignment with business objectives, regulatory requirements … leveraging Databricks’ capabilities for big data processing and machine learning. Collaborate closely with data engineering, data science, and pricing teams to enable real-time analytics, AI-driven insights, and predictive modelling. Drive innovation by evaluating and implementing emerging cloud-based data technologies to enhance Somerset Bridge Group’s data strategy and competitive advantage. What You'll Need Strong stakeholder … problem-solving skills and ability to translate business needs into technical solutions Ability to document and present complex data architectures to technical and non-technical stakeholders. Expertise in data modelling (conceptual, logical, and physical). Data warehousing and data lake architecture for high-performance analytics. ETL/ELT pipeline development and optimisation to support large-scale data processing. Data 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 ❯

Direct message the job poster from Stanton House Technology Recruiter Specialising in Data Are you a data expert who loves solving real-world problems with predictive models and analytics? Join a leading music rights investment and management company where your models will drive strategic decisions across a catalogue of over 45,000 songs and recordings. About the Role We … foundations, top-tier Python/SQL skills, and hands-on experience in machine learning. You’ll join a lean, highly ambitious data team and play a key role in modelling music consumption and revenue forecasting. Your insights will help shape everything from new deal strategy to long-term business planning. What You’ll Do Develop, deploy, and maintain predictive More ❯

part of cross-functional teams to help solve challenges and aid decision makers across the sporting landscape, from elite professional teams to leagues and broadcasters, applying advanced analytics and modelling techniques. Personal Attributes Highly motivated and results-driven with a passion for technology. A passion for the business of sports, media, and technology. Can-do attitude; a self-starter … Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data Scientist Responsibilities Lead individual workstreams from design through deployment. Build and monitor predictive models. Translate insights into actionable deliverables. Support and mentor junior colleagues. Capabilities 4+ years relevant work experience. Experience in supervised models (forecasting, regression, classification) and unsupervised models (clustering). … delivery skills. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Senior Data Scientist Responsibilities Lead complex, multi-stream projects and analytics teams. Define modelling strategy and coding standards. Mentor team members and support professional development. Interface with clients to drive data-informed strategy. Capabilities 6+ years relevant work experience. Deep expertise in advanced 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 ❯

Deliver measurement and effectiveness projects, including dashboard reporting and deep dive evaluations to understand the impact marketing has on customer behaviour Deliver and take lead on customer projects (segmentation, modelling), utilising statistical techniques to develop a deep understanding of customers Ensure that the most relevant methodologies are applied to measure and evaluate, proactively recommending better ways of working Develop … implementing and managing reporting dashboard design, update and automation using tools such as PowerBI, Tableau and Looker Studio Good knowledge of advanced data analysis techniques that include customer segmentation, predictive modelling, multivariate analysis, querying and reporting tools, A/B testing and statistical significance We believe the best work happens when we're together, fostering creativity, collaboration, and More ❯

optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with our Data Scientists, Actuaries, and Product team to deliver … scalable, production-grade ML systems. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by our Data Scientists and Actuaries Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical … Scientists, Actuaries, and Product Managers Nice To Have Experience in UK motor insurance Telematics Data: Familiarity with behavioural driving data and its application in insurance pricing Understanding of pricing modelling tools such as Akur8 or Emblem Experience with IaC (we use Terraform) Experience with gRPC/protobuf What’s it like to work at Zego? Joining Zego is a More ❯

sits at the heart of our commercial success across a growing portfolio. You'll define the vision, build the team, and deliver a solution that leverages real-time data, predictive modelling, and machine learning to optimise pricing decisions at scale. The Role By joining our team you'll: Develop a comprehensive roadmap for a sophisticated, real-time pricing More ❯

optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists and Product team to deliver scalable … number of years of great success have hit profitability and now want to grow through strategic hiring. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by the Data Scientists Develop and maintain pricing analytics tools that enable More ❯

optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists and Product team to deliver scalable … number of years of great success have hit profitability and now want to grow through strategic hiring. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by the Data Scientists Develop and maintain pricing analytics tools that enable More ❯

modern machine learning to build scalable, efficient, and insightful models-driving real business impact. Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Translate predictive modeling problems and business constraints into robust Bayesian or probabilistic AI solutions. Design and implement reusable libraries of predictive features and probabilistic representations for diverse ML tasks. Build 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 ❯

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 ❯

modeling, Bayesian methods, variable selection techniques (e.g., lasso, elastic net, random forest), and clinical trial design. Proficiency in R and Python, with experience in data visualization, exploratory analysis, and predictive modeling. Excellent communication skills, both verbal and written. Ability to develop and deliver clear presentations for decision-making in internal and external settings. Why Novartis: Helping people with diseases More ❯