Job Description
Collect and analyze data from various internal and external sources.
Clean and amalgamate data to make it conducive for analysis.
Use programming, math, statistical, and analytical skills to interpret data.
Design data modeling processes and create algorithms and predictive models.
Share meaningful insights with peers and business stakeholders.
Collaborate with other teams to understand business needs and provide data-driven solutions.
Keep up with current trends and build competency in the team with Proof of Concepts (PoCs) and prototypes.
Successfully manage end to end delivery of data models (ML & DL) including architecture, infra. needs, resourcing, budgeting and prioritisation
Lead and Guide Machine Learning Engineers with model selection, feature extraction and model building
Conceive, plan and prioritize data projects
Lead discussions with business stakeholders
Build Business problem/need to Data Science problem statement and solution approach
Align data projects with organizational goals
Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form.
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Renault which has been making cars since 1898, is present in 134 countries and has sold 3.9 million vehicles in 2018. To meet the major technological challenges of the future while continuing to pursue their profitable growth strategy, they are focusing on international expansion and drawing on the synergies of their five brands: Renault, Dacia, Renault Samsung Motors, Alpine and LADA.
