# Senior Data Scientist (Business Intelligence Centre)

> CP Axtra · Bangkok, Thailand (Hybrid) · — · Posted 2026-07-24

**Workplace:** hybrid

## Description

The Data Scientist is responsible for developing predictive models, optimisation and analytical solutions across a broad range of business problems including demand forecasting, price and elasticity modelling, customer and store segmentation, and AI/LLM-based solutions that enable data-driven decisions across commercial and operational functions. This role bridges business needs and advanced analytics, combining strong statistical, machine-learning, and data engineering skills with the ability to source diverse data, translate complex results into clear insights, and deliver production-ready solutions. The successful candidate will be adept at understanding business requirements, building models end-to-end, telling compelling data stories, and delivering high-impact solutions on time.

**Responsibilities**

**Modelling & Optimisation**

-   Design, develop, and deploy predictive and machine-learning models across areas such as demand forecasting, price and elasticity modelling, price/assortment optimisation, and recommendation
-   Build customer and store segmentation, clustering, and entity-matching / item-mapping solutions to support commercial and marketing decisions
-   Frame business problems as data science problems, selecting appropriate methods and validation approaches to deliver reliable, production-ready outcomes
-   Continuously evaluate and improve model performance, accuracy, and business impact over time

**AI & Advanced Analytics**

-   Apply NLP and LLM/Generative AI techniques to use cases such as text classification, sentiment/voice-of-customer analysis, data mapping, and RAG or text-to-SQL applications
-   Prototype and evaluate emerging AI approaches, turning promising experiments into practical business solution.

**Data, Insights & Data Sourcing**

-   Source, acquire, and integrate data from internal systems, third-party providers, and external sources (e.g. web scraping, APIs, public datasets)
-   Explore, clean, and transform large datasets to prepare high-quality features; ensure data quality, consistency, and integrity
-   Identify trends, patterns, and opportunities in data — including external factors — and proactively surface insights that drive business value

**Delivery & Productionisation**

-   Build and maintain data pipelines and scheduled jobs (e.g. on Databricks) to run models and analytics reliably in production
-   Deliver results through dashboards, reports, and applications, and maintain clear documentation of models, data, and methodologies

**Business Partnering**

-   Engage with business stakeholders to understand objectives, gather requirements, and translate them into data science solutions
-   Communicate complex results clearly to technical and non-technical audiences, and manage timelines and deliverables to agreed success criteria

## Requirements

-   Bachelor's degree (minimum); Master's degree preferred in **Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative field**
-   Minimum **3–5 years** of hands-on data science experience in a commercial or enterprise environment
-   Experience in **retail, FMCG, or e-commerce** is a strong advantage
-   Strong programming skills in **Python and SQL** with solid command of data science libraries (**e.g. pandas, scikit-learn, TensorFlow/PyTorch)**
-   Sound understanding of machine-learning and statistical techniques, with experience across several of: forecasting, elasticity/optimisation, segmentation/clustering, and entity matching
-   Experience with **NLP and LLM/Generative AI** (e.g. **embeddings, RAG, text-to-SQL)** is a strong advantage
-   Ability to source and integrate external data via web scraping and **APIs** (e.g. requests, Playwright/Selenium)
-   Experience building and scheduling data pipelines, ideally on **Databricks/Spark,** or a similar big-data or cloud platform **(Azure, AWS, or GCP)**
-   Strong data storytelling and visualisation skills; able to communicate insights clearly to technical and non-technical audiences
-   Proven track record of delivering data science projects end-to-end, on time, and managing stakeholder expectations
-   Familiarity with version control (Git) and Agile/Scrum delivery is a plus

## Apply

[Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/C1BD20FD69/apply)

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