Stage 6 mois-Data scientist (H/F)

In the context of the launch of an ambitious program to foster the use and valorization of data across the company, Lesaffre International seeks to accelerate and structure its data delivery capabilities and competences.

The Data Science team at Lesaffre International is looking for an intern Data Scientist for a duration of six months starting in September 2023.

 The Data Scientist will join a team with several outstanding profiles (data scientists, data engineers).

Within the Data Science Team, the Data Scientist intern will work with the R&D team to solve a Computer Vision use case. The intern will use available images to perform pre-processing, data augmentation and will use Deep Learning to perform classification.

The intern Data Scientist will be part of “features team” that deliver innovative data use cases with various business domains and geographies across the company, such as:

• Factory 4.0 data projects to optimize the production processes in the factories of Lesaffre, and involving factory sensor data
• Data projects linked to state-of-art R&D regarding the expertise domains of Lesaffre (e.g., complex yeast strain screening, AI for genomics engineering, fermentation modulization etc..)
• All relevant other data projects to optimize the group operations (supply chain optimization, demand sensing, etc.)
   

Main responsibilities : 

The Data Scientist designs the scientific methodology to solve business problems

• Translate business challenges into scientific problems
• Build efficient statistical or AI models
• Communicate in a pedagogical way to Lesaffre group stakeholders

Technical skills

●        Machine learning and scientific methodology:

○        Knowledge of statistical and data science concepts (e.g, model evaluation, overfitting, parameter tuning, null imputation)

○        Some experience in data & AI modelling including classification, regression and clustering problems in python using scikit-learn (e.g, linear models, random forests, gradient boosting, svm, knn, etc.)

●        Data analytics, processing and visualization:

○        Programming experience with data-related packages in Python (e.g., numpy, scipy, pandas, scikit-learn)

○        Experience in data treatment (e.g, filter, aggregate, merge, etc.)

○        Experience in data visualization (e.g., seaborn, matplotlib, plotly, dash, Streamlit, PowerBi, Tableau)

○        Experience with data quality analysis (e.g., null values and outlier’s detection)

●        Data use case development and monitoring:

○        Programming experience in Python using virtual environment, typing, debugging, logging and testing would be a plus

○        Experience with collaborative tools (e.g., git)

○        Experience with at least one SQL or one NoSQL database (e.g., MySQL, MongoDB, CassandraDB)

Other skills

●        Strong science skills

●        Business and innovation oriented

●        Good communication skills

●        Demonstrated ability to deliver in autonomy scientific data and ML methodology that answer to business needs

●        Full English proficiency. French proficiency is a plus.

●       Ability to work within a team