Data Scientist

About the role

Who We Are Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. We specialize in data transformation and data marketing to drive tangible business results across the entire enterprise value chain.

Artefact offers the most comprehensive set of data-driven solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. From strategy to operations, we offer an end-to-end approach and solutions: data strategy, data quality and governance, data platforms, AI Factory, data-driven customer experience and marketing ROI.

Our 2000+ employees operate in 27 countries (Europe, Asia, Americas, Middle East, Africa) and we partner with 1000 clients, including some of the world's top 300 brands such as Samsung, L'Oréal and Sanofi.

What You Will Be Doing:

As a Data Scientist, 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.

- 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.

- 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.

- Algorithm Discovery: Discover state-of-the-art algorithms and test them on real-world data during client projects.

What We Are Looking For:

We’re seeking someone who has: