Market Analytics and Machine Learning

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.