Good to know About working at CP AXTRA

📍 Location of CP AXTRA (Head Office) 3 Days :

https://share.google/V5Q7MuC44FS341Xhx

📍Location of CP AXTRA Lotus's (Nawamin Office) 1 day :

https://maps.app.goo.gl/6cHYiNFfwE8EqrFU6

📍 Working style

: 4 Days at the office + work from anywhere

Key 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 solutions

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

Qualifications

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

CP AXTRA | Lotus's

CP AXTRA Public Company Limited.

Nawamin Office: Buengkum, Bangkok 10230, Thailand

"By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy."