Qualifications
The Human Element:We are looking for talented individuals who:Possess excellent interpersonal skills,Are committed to the success of client projects,Have strong analytical and synthesis capabilities,Value quality deliverables and the clarity of results presentation,Are curious and keep abreast of market developments,Desire to continue learning and be proactive in their professional growth,Have a minimum of three years of experience. Technical Skills:You hold a degree in data science from a university or a grande école and:Have a solid understanding of key statistical modeling or machine learning techniques (Random Forest, XGBoost, K-means, etc.),Are proficient in SQL,Master Python, R, and/or SAS,Are familiar with leading software solutions on the market (Dataiku, SAS, Alteryx, etc.),As a bonus, you have some knowledge of cloud technologies: GCP, AWS, Azure.
About the job
About the Role
Avisia is looking for a Data Scientist (H/F) to join the team in Nantes. Projects here are fully focused on data, combining technical depth with operational impact. Assignments can lean toward technical problem-solving or explore business-focused questions, depending on your skills and interests.
Who We Work With
Clients come from a range of industries, including luxury, retail, telecommunications, banking, and insurance. This variety means the data science work is always changing, with each project bringing its own set of challenges.
Sample Projects
- Designing predictive models to forecast revenue for an e-commerce site (#Forecasting)
- Developing and deploying a recommendation engine to improve website visitor conversion (#Recommendation)
- Building churn scoring models to spot declining customers for a major retailer (#Churn)
- Segmenting customers to support targeted marketing and sales strategies based on channel preferences (#CustomerSegmentation)
Location
This position is based in Nantes, Pays de la Loire, France.
About Avisia
Avisia is a leading consulting firm specializing in data-driven solutions across various industries, including luxury, retail, telecommunications, banking, and insurance. We pride ourselves on our ability to address both technical and business challenges through innovative data science projects.
