Required Technical/Functional Skills Strong hands‑on experience in Exploratory Data Analysis (EDA) and Root Cause Analysis (RCA) Expertise in Machine Learning techniques: classification, regression, clustering, and time‑series forecasting Proficiency in Python and SQL Experience with ML libraries such as Scikit‑learn, XGBoost,
Forvia is looking for a year‑round Data Science Intern to work at its headquarters in Auburn Hills, Michigan. Your mission, roles and responsibilities Assist in designing, building, and testing machine learning models for use cases such as
Forvia, a sustainable mobility technology leader. New trends and expectations are reshaping the automotive industry. Inspired by the exciting new challenges associated with this revolution, FORVIA anticipates the future of mobility developing cutting-edge solutions for smart
Role: Data Scientist Must Have Skills Deep hands‑on experience with Palantir Foundry (Pipelines, Code Repos, Ontology, Workshop, Quiver) Strong experience with Palantir AIP including AI workflows, agents, and decision intelligence and AI-enabled use cases (preferred) Experience integrating
Are you passionate about transforming data into actionable insights that drive product quality and customer satisfaction? We are seeking a strategic and hands-on technical manager to support Warranty Analytics and Programs within our global quality team. The
We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical models and simulations that drive Vehicle Configuration Optimization (VCO). This role will leverage curated datasets to build a customer-level preference simulation engine,
Join a team building modern data and analytics products that power Finance at scale. Youll partner with product, data science, and engineering to deliver user-centric capabilities that improve data quality and accelerate trusted reporting. Your work will shape model-powered
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers, software
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers, software
Build modern data and analytics products that power Finance at scale, alongside teammates who care about craft, outcomes, and users. You will partner with product, data science, and engineering to deliver user-centric capabilities that improve data quality and accelerate
Essential Duties and Responsibilities Accountabilities 1. Analyse programme, operational and external datasets to generate insight that supports policy development, consultation responses and commissioner engagement. 2. Apply exploratory data analysis, statistical modelling and predictive techniques to understand trends, outcomes and