CFCO - 1529 Lead Market Analytics and Machine Learning
Posted Updated
Summary
Leads a small market analytics team for agriculture, food and commodity markets, staying hands-on with Python/SQL statistical modelling, machine learning and time-series forecasting to turn price, production, trade and weather data into dashboards, reports and insights that guide commercial decisions.
Lead Market Analytics and Machine Learning
Location: Kochi preferred
Domain: Agriculture, food and commodity markets
Experience: Indicatively 6–9 years
Role purpose
Lead a small market analytics team while remaining hands-on with analysis, statistical modelling, machine learning and forecasting. Translate business questions into clear market insights and reports that support commercial decisions.
Key responsibilities
- Define research priorities, analytical methods and delivery schedules with business stakeholders.
- Analyze prices, production, trade, supply and demand, seasonality, weather and other relevant market drivers.
- Develop and validate statistical and machine learning models, including time-series forecasts.
- Establish data quality checks, model evaluation methods and documentation standards.
- Prepare and review dashboards, market reports and presentations for accuracy and clarity.
- Communicate findings, assumptions, uncertainty and commercial implications to non-technical stakeholders.
- Mentor an experienced analyst and a junior analyst or intern as the team grows.
Required qualifications and skills
- Bachelor’s or master’s degree in Mathematics, Statistics, Econometrics, Data Science or a closely related quantitative discipline.
- Strong hands-on Python and SQL skills.
- Strong grounding in statistics, regression, time-series analysis and forecasting.
- Practical experience evaluating models through backtesting and appropriate metrics.
- Ability to work with incomplete or inconsistent datasets.
- Experience independently delivering analytical projects and guiding analysts.
- Excellent written and spoken English, including business report writing.
Preferred experience
- Agriculture, food, commodities, economic research, retail pricing or supply-chain analytics.
- Power BI, Tableau or a comparable visualisation tool.
Direct engagement with clients or international business stakeholders.