Data Scientist

About the Company Contribute to the design, development, and deployment of price elasticity and promotion optimization models for a global CPG client's Revenue Growth Management (RGM) transformation program. Work within a team of data scientists to build reusable, market-ready modelling frameworks using retailer POS sell-out data across multiple geographie

s. About the Role This is a practitioner role focused on delivering high-quality, commercially grounded analytical models. You will work closely with RGM SMEs to ensure outputs are operationally relevant and with data engineers to ensure pipelines are model-

ready. Responsi

• bilities Build and refine price elasticity models, promotional uplift models, and demand forecasting frameworks using retailer POS sell-out data, syndicated data, and sel
• l-in data.Build and refine price and promotion optimizati
• on models.Contribute to the development of a reusable, parameterized modelling framework that can be deployed across multiple markets with minim
• al rework.Work with RGM SMEs to translate commercial questions into modelling briefs and validate outputs for commercial se
• nsibility.Collaborate with data engineers to define data schemas, feature requirements, and model-ready dataset speci
• fications.Document modelling assumptions, validation results, and known limitations clearly for both technical and business
• audiences.Support deployment and handover of models to client teams, including technical documentation and us
• er guides.Proactively flag data quality issues and modelling risks to the pro

ject lead. Qu

• alifications Master's degree or equivalent in Statistics, Economics, Data Science, Operations Research, or a related quant
• itative field.9–12 years of experience in applied Data Science, with at least 2 years focused on pricing analytics, promotion effectiveness, or revenue management within
• CPG or Retail.Hands-on experience building price elasticity models and/or promotional lift/uplift and optimization models in a commercia
• l environment.Familiarity with sell-out or POS data from syndicated providers such as Nielsen, IRI/Circana, or direct r
• etailer feeds.Strong proficiency in Python (Scikit-learn, Statsmodels, XGB
• oost) and SQL.Experience with cloud analytics platforms such as Databricks, Snowflake,
• or equivalent.Ability to communicate modelling results effectively to both technical and non-technical

stakeholders.

• Required Skills Experience in the CPG industry with understanding of trade spend, promotional calendars, pack-price architecture, and ca
• tegory management.Familiarity with multi-market or multi-geography mode
• lling deployments.Experience building parameterized or templatized model frameworks rather than ad hoc single
• -market solutions.Understanding of Revenue Growth Management (RGM) and how pricing and promotion decisions are made within commerc
• ial organizations.Exposure to MLOps practices including model versioning, monitoring, and ret

raining workflows. Pay range and compensation package Equal Opportunity Statement