CHENNAI · FULLTIME
Analytics Modeler
Ford Motor india pvt limited
Chennai · onsite · Posted 50d ago
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Undisclosed1–6 yrsfulltimeChennai
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Section · 01
About this role
We are seeking a proactive, eager-to-learn professional 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.
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 clear 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 modern 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 clear, 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 problems.
- Programming: Working knowledge of Python (Pandas, NumPy, Scikit-learn) or R for data manipulation and modeling. Familiarity with SQL for data extraction is a plus.
- Data Visualization: Interest in Data Visualization tools - Power BI, Tableau, or similar tools through coursework, internships, or personal projects.
- AI Tool Integration: Interest and basic experience in using AI productivity tools (e.g., LLMs, GitHub Copilot) for coding assistance and workflow optimization.
Relevant Coursework (Preferred/Expected for Freshers)
- Probability Theory Statistical Inference, Statistical Mathematics probability distributions, hypothesis testing, confidence intervals
- Applied Regression Analysis linear, logistic, and multivariate regression
- Time Series Modeling ARIMA, exponential smoothing, seasonal decomposition, forecasting techniques
- Machine Learning / Predictive Analytics supervised and unsupervised learning algorithms (decision trees, clustering, random forests, etc.)
- Programming for Data Science Labs on either with Python or R (Pandas, NumPy, Scikit-learn, ggplot2)
- Database Management SQL querying, joins, data extraction and manipulation
- Data Visualization Business Intelligence Power BI, Tableau, or Matplotlib/Seaborn
- Applied Econometrics Macroeconomic and demand forecasting contexts
- Data Mining / Big Data Fundamentals exposure to large-scale data handling concepts
- Linear Algebra Multivariate Calculus foundational math for statistical modeling and ML
- Academic Project in Forecasting or Predictive Modeling hands-on project applying statistical/ML techniques to a real or simulated dataset
Behavioral Competencies
- Curious Innovative: A natural tendency to ask "why" and a drive to investigate the root causes of data anomalies.
- Quick Learner: Eagerness to rapidly pick up new technical tools and adapt to evolving automotive market dynamics (e.g., EV transition, software-defined vehicles).
- Team Player: Collaborative mindset with the ability to work effectively across cross-functional and global teams.
- Strong Communication and Presentation Skills
- Business Acumen: A keen interest in the automotive industry and a willingness to learn how data patterns connect to real-world business outcomes.
- Masters degree in Statistics, Econometrics (Mandatory)
- 01 years of experience internships, academic projects, or coursework in data analytics, forecasting, or statistical modeling are highly valued (Automotive-related projects are a plus).
Sourced from naukri
Section · 02
Skills
data extractionCalculusdata manipulationAutomotiveclusteringdata miningdata handlingcopilotAnalyticsautomotive industryARIMAData AnalyticsAlgebraAI ToolsAlgorithmsBusiness IntelligenceBig DataData ScienceArtificial Intelligence
Section · Company
About Ford Motor
Ford Motor india pvt limited
Automobile
14k+
employees
1903
123 years old
Chennai, Tamil Nadu
India
₹15L PA avg
Avg at Ford Motor
About
Since 1903, Ford Motor has helped to build a better world for the people and communities that they serve.
Industries
AutomobileManufacturing
Employee ratings
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4.2/ 5
Culture
3.6
Career growth
2.9
Work-life
3.7
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