Who are Capgemini Engineering?
We are Capgemini Engineering, a leader in engineering and R&D services, with more than 65,000 people dedicated to Engineering and Science around the world.
We help our clients accelerate their journey to smart industry, bringing global expertise and capabilities, cutting-edge digital technologies and software, agile engineering platforms and an industrialized execution model.
Within Capgemini Engineering, Hybrid Intelligence is the international team of data and AI experts.
Our work is a fusion of applied mathematics, scientific computing, artificial intelligence and software engineering.
We deliver revolutionary, multidisciplinary solutions for our research and development-driven clients, addressing humanity's generational challenges, from discovering new medicinal treatments to harnessing green energy.
We are dedicated to creating a diverse environment and are proud to offer equal opportunity.
We appreciate people for who they are and value the diversity they bring to the team.What are we looking for?Bachelor's, Master's or PhD degree (preferred) in Computer Science, Data Science, Statistics or related field.At least 5 years of experience as Data Scientist / Machine Learning Engineer.Extensive experience in Marketing Mix Modelling.Excellent Python programming skills.Experience in standard machine learning techniques (e.G.
linear regression, K-nn, SVM, PCA, Kmeans, random forest, boosting).Knowledge of econometrics and marketing.Knowledge of mathematics: linear algebra, statistics, probability theory, discrete and continuous optimisation.Proficient in Git version control.Fluency in English and Spanish (C1) and strong communication skills.What can we offer?Permanent contract.Continuous training, you will be able to enjoy Mylearning and Capgemini University with access to platforms such as: Coursera, Udemy, Pluralsight, Harvard Manager Mentor, among others.Certification Plan.Language training in English, French and German with Education First (EF).Be part of the DATA & AI International Community.Life and Accident Insurance.Restaurant ticket or meal subsidy.Flexible Compensation Plan (health insurance, childcare, transport, training).Why should you join Capgemini Engineering?World leader in engineering.Relevant projects in innovation and R&D.Part of a responsible company committed to equal opportunities.Multi-sector and multi-disciplinary expertise.Technology communities with a focus on continuous learning and improvement.#J-18808-Ljbffr