SENIOR DATA SCIENTIST

We’re looking for a business-driven Senior Data Scientist to lead advanced analytics and machine learning projects in the retail and consumer goods sector. You will work closely with marketing, sales, and category teams to build models that drive customer insights, campaign optimization, demand forecasting, and pricing strategies.
With experience across leading Nordic retailers and FMCG brands, you’ll be at the heart of transforming how businesses interact with their customers using advanced, interpretable, and scalable analytics solutions.

As part of this role, you will work on tasks such as:

• Automating marketing personalization for omni-channel retail
• Building store-level sales and visitor forecasts to optimize staffing and merchandising
• Evaluating the effectiveness of campaigns and external factors like weather or holidays on revenue
• Developing interpretable machine learning models to support pricing decisions

Skills Required

• Shiny
• Tableau Desktop
• Python

REQUIRED QUALIFICATIONS

Key Responsibilities:

• Design and implement customer-level predictive models for CLV, churn, segmentation and marketing optimization
• Lead end-to-end data science projects across retail, FMCG and e-commerce environments
• Build forecasting models for sales, demand, and footfall across store and product hierarchies
• Collaborate with commercial teams to optimize campaigns, pricing, and promotions
• Translate complex data findings into actionable business recommendations

Qualifications:

• 5+ years of data science experience in retail, FMCG or marketing analytics
• Proven track record with customer segmentation, campaign analysis and demand forecasting
• Hands-on experience with Python, R, SQL, Tableau and Shiny
• Strong business acumen and communication skills for cross-functional collaboration
• Bonus: Experience with Nordic retail clients

As part of this role, you will work on tasks such as:

• Automating marketing personalization for omni-channel retail
• Building store-level sales and visitor forecasts to optimize staffing and merchandising
• Evaluating the effectiveness of campaigns and external factors like weather or holidays on revenue
• Developing interpretable machine learning models to support pricing decision

Key Responsibilities:

• Design and implement customer-level predictive models for CLV, churn, segmentation and marketing optimization
• Lead end-to-end data science projects across retail, FMCG and e-commerce environments
• Build forecasting models for sales, demand, and footfall across store and product hierarchies
• Collaborate with commercial teams to optimize campaigns, pricing, and promotions
• Translate complex data findings into actionable business recommendation