Data Scientist - Automotive Research

Job Description

About the Role: Grade Level (for internal use): 09 S&P Global Mobility The Role: Data Scientist The Team: We are the Research and Modeling team, driving innovation by building robust models and tools to support the Vehicle & Powertrain Forecast team. Our work includes all aspects of development of, and ongoing support for, our business line data flows, analyst modelling solutions and forecasts, new apps, new client-facing products, and many other work areas besides. We value ownership, adaptability, and a passion for learning, while fostering an environment where diverse perspectives and mentorship fuel continuous growth. The Impact: We are seeking a motivated and talented Data Scientist to create new AI algorithms and/or improve our current machine learning algorithms, while exploring the potential of GenAI and LLMs to enhance our data collect, data source mapping, and information inference capabilities. This role will directly contribute to our ability to deliver more accurate and timely forecasts to our clients, solidifying S&P Mobilitys position as the leader in automotive market intelligence. Whats in it for you: Engage with cutting-edge AI and ML technologies to solve complex forecasting challenges and drive innovation in automotive market intelligence. Lead the development and implementation of advanced analytical models (pricing, demand, specifications), enhancing your expertise and contributing significantly to the products value. Directly influence forecasts provided to market-leading clients in the automotive sector, gaining exposure to their critical data and business challenges. Benefit from a collaborative environment with opportunities to mentor talent, fostering both your technical leadership and the growth of the team. Responsibilities Advanced Pricing Analytics Develop and implement machine learning models to analyse vehicle and powertrain pricing trends, predicting future price points with high accuracy. Create sophisticated algorithms to assess the impact of various factors (e.g., market conditions, competitor pricing, etc.) on vehicle pricing. Refine our forecast system to incorporate these advanced pricing analytics, enhancing the overall forecast precision considering price elasticity. Forecasting Modeling Improve the performance of current machine learning models (XGBoost) Develop and optimize algorithms for predicting vehicle demand based on historical data, market trends, and pricing information. Develop algorithms for predicting vehicle specifications, like dimension or mass. GenAI and LLM Exploration Investigate and implement LLMs for efficient data collecting from diverse sources, improving the breadth and depth of our data collection Develop solutions for better mapping, filling, and structuring our data with source information, ensuring data integrity and consistency, ultimately streamlining our data acquisition and analysis processes. Collaboration & Mentorship Collaborate closely with product teams, business stakeholders, ML Engineers, and Data Engineers to ensure smooth integration of models into production systems. Mentor talent ML Engineer and Data Engineer in fostering their professional growth and development. Communication Communicate complex technical concepts to non-technical stakeholders. Contribute to the documentation of ML models and processes. What Were Looking For: Masters in Data Science, Computer Science, Statistics, or a related field. Minimum 7+ years of professional experience in data science, with a proven track record of developing and deploying machine learning models. Strong proficiency in Python and relevant machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with Generative AI and Large Language Models (LLMs), including data collection, text analysis, and information retrieval. Experience with cloud platforms (e.g., AWS, Azure, GCP) and data engineering tools Strong communication and collaboration skills. Experience in the automotive sector is a plus.