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Data scientist

Enstone
Data scientist
Posted: 19 September
Offer description

Company ALPINE RACING LIMITED Job Description We’re on a mission to return to the front of the grid. We are looking to reinforce our Data Science team here in Enstone and work towards investigation, development, implementation, and maintenance of data models and services in close collaboration with different departments. This role is for a Data Scientist to join the Software Engineering & Data team, where you will play a crucial role in developing cutting-edge solutions to help the team achieve our goals in the Formula One World Championship. The Role This is a unique opportunity to be part of a Data Science team, working together with Software and Platform Engineers who work tirelessly to improve all areas of the team, from the design and manufacture of the car to the performance analysis at track. The role covers both scientific and engineering aspects of Data Science. The ideal candidate will have passion for data, knowledge sharing and collaboration. You will be responsible for proposing, developing, implementing/delivering, and maintaining machine learning based solutions for complex F1 problems, as well as communicating with the engineering teams to analyse problems and develop solutions. The ideal candidate will have experience in Data Science algorithms, with demonstrated ability to work and deliver results autonomously within tight schedules. The Person If you have a BSc or MSc degree in a relevant field for Data Science, have more than 2-year experience of development in Python and machine learning techniques in production or laboratory, and understand the key parameters that affect their performance as well as end to end data science pipeline, we would love to hear from you! We are looking for individuals with excellent verbal and written communication and a strong troubleshooting and problem-solving skills. We are looking for knowledge and expertise of: Python data science packages: Pandas, numpy, scikit-learn, pytorch… Machine Learning techniques: Neural Networks, XGBoost, … Pipelines and deployment technologies: Azure DevOps, docker, GitHub actions, … A good understanding of architecture and design patterns Committed to deadlines Willing to work in a fast-paced environment as part of a strong-cultured team Other skills that, although not required, will be considered advantageous would-be a good level of general programming in other relevant languages (e.g. Rust, C#, …). Positive/“can do” work attitude is of high value for this role. We are looking for a team player with passion for investigation and knowledge sharing. Not only is this a fantastic role, but it is also a fantastic team to work with here in Enstone at a very interesting point in our journey. A good salary is just the start, there are many other benefits too such as our bonus scheme, private health care cover, company contributed pension scheme, on site gym, subsidised canteen, and a car scheme. Job Family Information Technologies & Systems 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. In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future. By submitting your CV or application, you authorise Renault Group to use and store information about you for the purposes of following up your application or future employment. This information will only be used by Renault Group companies as described in the Group Privacy Policy .

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