Data Scientist (AI/ML Focus)

About the role

Fnkt Analytics sits within a fast-growing F&B and foodtech group that operates kopitiam-style concepts, central kitchens and a chain of casual restaurants across Singapore and the region. We provide analytics and ML-driven products that help operators forecast demand, reduce food waste and personalise menus for different neighbourhoods.

The Data Scientist (AI/ML Focus) will work closely with product, operations and engineering to design, train and deploy machine learning models—ranging from time-series demand forecasting to customer segmentation and recommendation systems. You will run experiments in production, monitor model performance across stores (CBD lunch crowd vs heartland malls) and translate technical insights into actionable operational changes.

This role suits someone who enjoys both research-quality modelling and pragmatic productionisation: you will prototype with PyTorch/TensorFlow, collaborate on MLOps pipelines, and join occasional site visits (central kitchen trials, kopitiam pilots) to validate model outputs. The position offers hybrid working, exposure to multi-outlet F&B operations and opportunities to scale solutions across SEA markets.

About Fnkt Analytics (Fnkt Food Group)

Fnkt Food Group is a Singapore-based foodtech operator running multiple casual dining and hawker-style concepts, a central kitchen and a SaaS analytics arm. Fnkt Analytics builds in-house forecasting, inventory and recommendation tools used across the group's outlets and offered to partner restaurants.

What you can expect

• Work with real restaurant operations data across multiple concepts (kopitiam, casual dining, central kitchen)
• Hybrid work with 2 days on-site in CBD; flexible core hours
• Opportunity to scale models regionally across SEA
• Access to product and engineering teams for end-to-end model deployment

Key responsibilities

• Design, prototype and productionise machine learning models with an initial focus on time-series demand forecasting and inventory optimisation for multi-outlet restaurants
• Develop recommendation systems for menu personalisation and promotions using customer and transaction data
• Collaborate with data engineering to build repeatable training pipelines, feature stores and model deployment workflows
• Monitor model performance in production, implement drift detection and retraining schedules
• Translate model outputs into clear business recommendations for operations and culinary teams; participate in outlet pilots
• Conduct A/B tests and evaluate impact of ML-driven interventions on waste reduction, sales and labour planning
• Maintain clear documentation, reproducible experiments and share learnings across the analytics team

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Data Science, Engineering or related field
• 3+ years of professional experience in applied machine learning, ideally with time-series forecasting or demand modelling
• Strong Python skills and experience with ML frameworks such as PyTorch or TensorFlow
• Proficient in SQL and working with production data warehouses
• Experience deploying models to production (MLflow, Kubernetes, cloud services such as GCP/AWS)
• Solid understanding of evaluation metrics, cross-validation for time-series and model monitoring
• Good communication skills and the ability to partner with non-technical stakeholders (ops, culinary)
• Eligible to work in Singapore and able to attend occasional on-site pilots including evenings/weekends

How to apply

Send your CV, a short cover note highlighting relevant ML projects and links to GitHub or portfolio to [email protected] with subject 'Data Scientist (AI/ML Focus)'.