Description
We are seeking a proactive, eager-to-learn skilled to work within a team of experienced data scientists and modelers. You will get hands-on exposure to the entire lifecycle of analytical forecasting projects — from data exploration to model deployment, validation, and testing — while receiving mentorship and training to build your technical and business skills.

Responsibilities
Key Responsibilities
Demand Forecasting & Modeling Support: Assist in developing and maintaining short-term and long-term demand forecasts at the Automotive Segmentation and Powertrain levels. Support the building and validation of forecasting models (time-series models, AI/ML algorithms) to identify market trends, seasonal patterns, and macroeconomic influences, under guidance from senior team members.
Business Engagement and Presentation: Support Sales, Marketing, and Finance teams by helping translate analytical outputs into transparent summaries. Assist in preparing monthly forecasting reviews and contribute to presentations for stakeholders.
Visualization & Reporting:



Help design and maintain dashboards that provide leadership with visibility into sales performance and forecast accuracy.
Process Innovation using AI: Learn to integrate Generative AI and other contemporary AI tools into daily workflows to help automate repetitive tasks and accelerate data insights.
Cross-Functional Collaboration: Work with business and engineering teams to understand data requirements, and practice translating technical findings into explicit, data-driven summaries for stakeholders.

Technical Skills & Qualifications
Forecasting & Statistics: Solid academic foundation in statistical theory (e.g., hypothesis testing, regression analysis) and exposure to time-series methodologies (e.g., ARIMA, Prophet, etc.) through coursework or projects.
AI/ML Fundamentals: Academic or project experience with machine learning concepts (Supervised/Unsupervised learning) applied to predictive analytics probl

📌 Analytics Modeler Chennai
🏢 Ford Motor
📍 Chennai