Senior Data Scientist – MMM Expert

Artefact; Brussel Hoofdstad; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Competitive compensation

Hands-on client work

Regular training

Job summary

Artefact Belgium is seeking a Senior Data Scientist specialized in marketing to lead transformational data projects. You will develop data science solutions for clients and internal teams, applying marketing analytics, segmentation, attribution, and campaign optimization.

Join a collaborative culture with mentoring opportunities and hands-on exposure to real client challenges across Artefact’s global network.

Qualifications

• Master’s degree in a relevant field.
• 2–3 years of experience in data science, analytics, or consulting.
• Experience in marketing or digital context is a plus.
• Strong programming and data-processing skills with Python/SQL/R.

Responsibilities

• Lead transformational projects leveraging data to transform client operations.
• Develop data science solutions for clients and internal teams.
• Apply data science in marketing contexts: analytics, segmentation, attribution, optimization.
• Build client relationships and collaborate with Consulting counterparts.
• Mentor junior data scientists and promote knowledge sharing.
• Write optimized code to advance Artefact’s toolbox and knowledge base.

Skills

Python

SQL

R

Analytical mindset

Communication skills

Curiosity and learning

Marketing context knowledge

Education

Master's degree in computer science / ML / mathematics

Job description

Join Artefact Belgium: Help our clients in their AI transformations

Who We Are

Artefact is a next-generation consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in AI applications to help clients achieve tangible business impact. Our Belgium office advises clients on their most pressing strategic challenges : from AI strategy and governance to digital transformation roadmaps and new business model design. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.

What You Will Do

As a Senior Data Scientist specializing in the marketing domain, you will lead and conduct ambitious projects aimed at transforming clients through data. Your day-to-day responsibilities will include:

• Leading transformational projects: spearheading ambitious projects that utilize data to transform our clients’ operations and strategies.
• Developing data science solutions: creating innovative data science products and solutions for both clients and our internal data science team.
• Applying data science in marketing contexts: leveraging data science methodologies to enhance marketing analytics, customer segmentation, attribution modeling, and campaign optimization.
• Building client relationships: collaborating closely with your Consulting counterpart to understand client needs and strengthen relationships.
• Upskilling the team: contributing to the development of our data science team by sharing knowledge, mentoring junior Data Scientists, and promoting our work within other data departments.
• Ensuring quality deliverables: caring for team morale and ensuring that all missions are delivered to a high standard, providing feedback and support to less experienced team members.
• Optimising code: writing highly optimized code to advance Artefact’s internal toolbox and knowledge base.

What you will learn with us:

• Real-World impact: deliver impactful projects by developing end-to-end machine learning pipelines to solve real-world problems across various industries, including marketing and customer intelligence.
• Collaborative solutions: work in feature teams alongside other data scientists, ML engineers, data engineers, software engineers, and product owners to build complex solutions.
• Software engineering improvement: enhance your software engineering skills by applying ML Ops best practices while working with machine learning teams.
• Expertise development: become an expert in one of our data science practices: Time Series Forecasting, MLOps, NLP, Computer Vision, Optimization, or Customer Intelligence, including marketing analytics, attribution modeling, and incrementality testing.
• Algorithm discovery: discover state-of-the-art algorithms and test them on real-world data during client projects.

Who You Are

We’re seeking someone who has:

• Educational background: a completed Master’s degree in a relevant field (e.g., computer science, machine learning, mathematics, or related subjects).
• Hands-On experience: at least 2-3 years of experience in data science, analytics, or consulting, preferably within a marketing or digital context.
• Marketing or digital context experience: knowledge of various marketing channels and platforms, including their roles within the media mix is considered a plus.
• Technical skills: strong knowledge of data processing, algorithms, and data architecture, along with proficiency in tools like Python, SQL, and R.
• Analytical mindset: a passion for working with data to derive actionable insights and solve complex problems.
• Communication skills: excellent verbal and written communication skills, with the ability to discuss both technical and non-technical topics with clients and team members.
• Curiosity and passion: a genuine interest in continuous learning and exploring new technologies and tools in data and AI.

What We Offer

• Competitive compensation aligned with your profile and experience.
• Hands-on exposure to real client challenges from day one, working alongside experienced strategy and data/AI practitioners.
• Regular training in both strategy consulting methodologies and AI/data capabilities, combined with international exposure across Artefact’s global network.
• A collaborative, entrepreneurial culture of doers — innovative, fast-moving, and committed to supporting each other’s growth.

This position is based in Brussels, with opportunities to collaborate on projects worldwide.

At Artefact Belgium, we value curiosity, motivation, and potential above all else. Don’t worry if you don’t tick every box — if you’re excited about building a career at the frontier of strategy and AI, we’d love to hear from you