Data Scientist

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all

Artefact's offers (and more)

data marketing, data governance, strategy consulting, product owner…

What you will be doing?

As a Data Scientist, your primary role revolves around leveraging Python and SQL to conduct data science modelling, employing statistical and machine learning algorithms to derive actionable insights.

Your responsibilities will encompass

• Data Modeling: Developing and implementing sophisticated data science models to extract valuable insights from complex datasets.
• Algorithm Implementation: Applying statistical and machine learning algorithms to solve business problems and enhance decision-making processes.
• Visualization: Utilizing visualization tools like Tableau and PowerBI to present findings in a compelling and understandable manner.
• Cloud-Based Deployment: Deploying models on cloud platforms such as MS Azure, GCP, and AWS, optimizing their functionality and scalability.

What we are looking for?

• Proficiency in Python, SQL, data science modeling, and statistical analysis.
• Strong grasp of ML algorithms and their implementation in real-world scenarios.
• Experience in visualization tools like Tableau and PowerBI, along with knowledge of deploying models on cloud platforms (MS Azure, GCP, AWS).
• Proven problem-solving skills and a solution-oriented mindset.
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms.
• Successful candidates often possess Computer Science, Electronics and Communication Engineering degrees.