Data Scientist

Data Scientist

We are seeking a talented and passionate Data Scientist to join our growing team of data scientists and AI engineers. You will design and deliver data-driven solutions across the full range of client challenges we take on: from predictive modelling and personalisation to end-to-end AI systems. Your focus area is media effectiveness and you will advise clients how to allocate their media budgets with your expertise in Media Mix Modelling, Incrementality and Attribution.

Alongside this, you will operate as a full member of the team, contributing your statistical and ML expertise across other client work streams.

• Design data-driven solutions tailored to client challenges, leveraging advanced analytical methods, ML models, and AI technologies to deliver business value.
• Lead media effectiveness projects for our clients - designing, building and interpreting Media Mix Models, incrementality studies, and multi-touchpoint attribution solutions that inform client budget allocation and marketing strategy.
• Implement end-to-end scalable ML & AI systems - including model training, inferencing, deployment, and monitoring - leveraging latest cloud technologies.
• Take a leading role in a multidisciplinary team consisting of engineers, consultants and client stakeholders.
• Communicate complex technical solutions to clients in an understandable way, delivering progress reports and demonstrations.
• Translate complex model outputs into clear, actionable recommendations for client stakeholders, including senior marketing leadership.
• Consult and guide clients on data science implementation, serving as a trusted advisor on data-driven decision making

• MSc degree in a highly analytical and quantitative discipline like Econometrics, Data Science, Applied Mathematics or Statistics.
• Hands‑on experience building as a data scientist building media effectiveness solutions, including Media Mix Modelling, incrementality studies and multi-touchpoint attribution solutions.
• Solid understanding of marketing strategy, media channels, customer journeys, and how to translate media investments into business impact
• A strong foundation in traditional statistical methods (e.g. regression, time series, probabilistic models), combined with a proactive mindset for exploring and applying cutting‑edge developments in ML and AI.
• Deep understanding of Bayesian modelling and causal inference, and the ability to apply these in a client‑facing measurement context.
• Proficiency in Python with extensive experience in data science libraries (e.g. scikit-learn, pandas, Num Py, Sci Py)
• Strong SQL skills and experience with data warehousing solutions (Snowflake, Big Query, Redshift)
• Understanding of MLOps concepts and hands‑on experience implementing them on cloud platforms (AWS, Azure, GCP).
• Experience with version control (Git) and deployment tools (Docker).
• Excellent analytical thinking and problem‑solving abilities
• Strong communication skills with the ability to explain technical concepts and translate complex model output into actionable insights to a non-technical audience

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.