Data Scientist

Overview

As a Data Scientist in DEPT’s EMEA Data & AI practice, you design data-driven solutions to complex client challenges and help optimize media budgets through advanced modelling. You will lead media effectiveness work, including Media Mix Modelling, incrementality, and multi-touch attribution, while contributing ML expertise across client streams. You’ll deploy scalable AI systems and communicate insights to senior stakeholders, acting as a trusted data science advisor. This role blends hands-on analysis with cross-functional collaboration to deliver measurable business impact.

Pay / Benefits

• global opportunities
• benefits that help you thrive
• autonomy to solve client problems

Responsibilities

• Design data-driven solutions using ML and AI to deliver business value
• Lead media effectiveness projects: MMM, incrementality, attribution to guide budget allocation
• Develop end-to-end scalable ML/AI systems: training, inference, deployment, monitoring in the cloud
• Lead a multidisciplinary team of engineers, consultants and stakeholders
• Explain complex technical concepts to clients with progress reports and demos
• Translate model outputs into actionable recommendations for senior marketing leadership
• Advise clients on data science implementation and data-driven decision making

Key requirements

• MSc degree in a quantitative field
• Hands-on experience building media effectiveness solutions (MMM, incrementality, attribution)
• Strong understanding of marketing strategy and customer journeys
• Solid foundation in traditional statistics; openness to ML/AI advances
• Proficiency in Python with data science libraries
• Strong SQL and data warehousing experience (Snowflake, BigQuery, Redshift)
• Knowledge of MLOps and cloud platforms (AWS, Azure, GCP)
• Experience with version control (Git) and deployment tools (Docker)
• Excellent analytical thinking and problem-solving; strong communication skills

• Excellent communication; ability to explain technical concepts to non-technical audiences
• Analytical thinking and problem-solving
• Proactive, collaborative mindset
• Python (scikit-learn, pandas, NumPy, SciPy)
• SQL
• Snowflake, BigQuery, Redshift

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