Hands-On experience: at least 2-3 years of experience in data science, analytics, or consulting, preferably within a marketing or digital context.
Communication skills: excellent verbal and written communication skills, with the ability to discuss both technical and non-technical topics with clients and team members.
Qualification wording
Hands-On experience: at least 2-3 years of experience in data science, analytics, or consulting, preferably within a marketing or digital context.
Communication skills: excellent verbal and written communication skills, with the ability to discuss both technical and non-technical topics with clients and team members.
Education & alternatives
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.
Tools in this posting
Python
R
SQL
Source — Tool mentions in 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.
About LinkedIn Job Wrapping
Artefact is a next-generation consulting firm dedicated to transforming organizations through data and AI.
Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Apr 15, 2026204 days ago
Recorded sightings
205
Last seen by us
Nov 5, 2026
Apr 15, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 204
756
Up longer than most. Similar jobs usually come down between day 7 and day 56.
Well past LinkedIn Job Wrapping’s usual: its jobs come down by about day 62.
From 10,201 similar postings that came down, and 19 of LinkedIn Job Wrapping’s. Coming down is not always a hire.
LinkedIn Job Wrapping is hiring
24 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Check the employer’s posting for the current role and application details.
Applying through Greenhouse
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Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
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 Scientistspecializing 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