About Artefact
Artefact is a data service provider specialising in data consulting and data-driven digital marketing. With 850 employees across 20 offices, we transform data into business impact using state-of-the-art technologies, lean AI agile methodologies, and expert teams of consultants, data scientists, engineers, and digital specialists.
Your Role
As a Manager Data Scientist, you will:
- Lead ambitious client transformation projects through data science solutions
- Develop data science products and solutions for clients and internal teams
- Build and maintain strong client relationships while understanding their business needs
- Mentor and upskill less experienced Data Scientists, ensuring high-quality project delivery
- Write optimised code to advance our internal toolbox and knowledge base
- Collaborate with Consulting partners, ML Engineers, Data Engineers, and Product Owners
What You'll Learn
- Deliver end-to-end machine learning pipelines on real-world problems across industries
- Specialise in areas such as Time Series Forecasting, MLOps, NLP, Computer Vision, Optimization, or Customer Intelligence
- Apply ML Ops best practices and improve software engineering skills
- Work with state-of-the-art algorithms on real client data
Required Qualifications
- Master's degree in machine learning, mathematics, computer science, or related field
- 3+ years of hands-on experience developing data-driven solutions in corporate or consulting settings
- Strong expertise in data processing, data modelling, algorithms, and data architecture
- Fluency in Python, R, SQL, or similar languages
- Proven experience leading technical projects in business contexts
- Excellent problem-solving and analytical skills with intellectual curiosity
What We're Looking For
A doer who gets things done and inspires teams. An analyst who loves data and believes in fact-based decisions. A pragmatist with a hacker mindset. A mentor whose advice is naturally sought. An entrepreneur constantly seeking problems to solve.
Why Join Us
- Train the data leaders of tomorrow in an innovative environment
- Face new challenges and continuous learning opportunities daily
- Join a cohesive team of driven entrepreneurs committed to industry impact
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