Traineeship / Internship - Data Science & Formulations - Virtual R&I
Saint-Fons, France
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General Information

Solvay is a science company whose technologies bring benefits to many aspects of daily life. With more than 24,100 employees in 64 countries, Solvay bonds people, ideas and elements to reinvent progress.

The Group seeks to create sustainable shared value for all, notably through its Solvay One Planet plan crafted around three pillars : protecting the climate, preserving resources and fostering better life.

The Group’s innovative solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices, health care applications, water and air purification systems.

Founded in 1863, Solvay today ranks among the world’s top three companies for the vast majority of its activities and delivered net sales of €10.

2 billion in 2019. Solvay is listed on Euronext Brussels (SOLB) and Paris and in the United States, where its shares (SOLVY) are traded through a Level I ADR program.

The Research & Innovation function (R&I) leads Solvay into new growth territories with breakthrough innovation to generate new products, applications and processes in the field of sustainable chemistry.

Partners with the GBUs to deliver more value and leverages the Group’s capabilities to improve competitiveness and create new business opportunities for Solvay and its customers.

Solvay is an international chemical group of around 30,000 employees around the world, strongly committed to sustainable development and with many career opportunities.

We are looking for a trainee / intern to join the AI Lab, part of the Virtual R&I team. Our mission is to create a vibrant, sustainable future through Chemistry and Digitalization.

Job Overview and Responsibilities

Formulations cover the development of commercial products characterized by their specifications and use value. Corresponding lab work requires several steps (mixing, experimental process, tests, .

  • and often many iterations.
  • Formulation data - including composition data (ingredients, quantities) and properties measurements - exhibit characteristics such as sparsity and design space complexity.

    The candidate will investigate and implement methods and algorithms to :

    Build, engineer and manage formulations datasets

    Analyze data, provide insights and interact with domain and business experts

    Compute formulations similarity, predict properties values and recommend experiments

    Synthesize and present results to internal collaborators and customers.

    Education and Experience

    Final year of MSc / Engineer or PhD student in Data Science, Cheminformatics or Computational Chemistry

    Conceptual and applied knowledge of Machine Learning and Deep Learning algorithms and tools (Scikit-Learn, Tensorflow)

    Excellent programming skills (R, Python)

    Experience with visualisations tools (Qlik, Data Studio, Tableau) and building web applications (Bokeh, R-Shiny, Plotly)

    English speaking

    Plus : Statistics, Design Of Experiments (DOE), Cheminformatics and knowledge of chemical libraries (ChEMBL, DrugBank, PubChem), Cloud DS platforms (GCP, Dataiku)

    Soft skills : proactivity, self-motivation, autonomy, adaptability, user-centricity, collaborative mindset, team spirit, communication skills, ability to think 80 / 20 and combine research / industrial mindsets, interest in using data to derive actionable insights

    In order to promote gender equality and diversity, diversified applications are encouraged.

    Duration : 6+ months

    Location : Lyon region

    Tutor / contact : Crédo PANIAH

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