About the job
Data Science Consultant Intern
About fifty-five
fifty-five is a pioneering data company that empowers brands to harness data for enhancing marketing, media, and customer experience through a unique blend of specialized consulting and technology services.
As a vital component of the Brandtech Group, we provide services that merge strategic consulting, cloud services, media consulting, and customer experience enhancement.
With a team of over 320 digital experts, including digital consultants, tracking and media specialists, engineers, and data scientists, we collaborate closely to deliver high-level marketing insights and technical support to brands across various industries globally.
We partner with advertisers from data collection to activation and utilization, assisting organizations in becoming true omnichannel entities that effectively manage their digital ecosystem and its synergies with the physical world.
Headquartered in Paris, we operate across three time zones from ten offices located in Paris, London, Geneva, Milan, Shanghai, Hong Kong, Shenzhen, Taipei, Singapore, and New York.
fifty-five places significant importance on the well-being of its employees, which earned us a spot in the Best Workplaces France ranking in 2018.
We firmly believe that the work environment is a key element of employee well-being, and we strive to provide excellent working conditions for our Fifty Fivers. Humility, humor, and human qualities are values shared by all!
Your Mission
As a Data Science Consultant Intern, you will join a team of consultants of varying seniority and collaborate with internal experts (Data Scientists and Data Engineers) to meet client needs through a dual focus on data science and digital expertise, particularly with a strong understanding of digital marketing/data issues.
- Participate in client meetings to understand their needs.
- Contribute to the execution of client projects within a dedicated team.
- Extract and analyze relevant data based on client requirements.
- Define key performance indicators addressing specific challenges.
- Design dashboards to monitor and analyze performance.
- Produce ad hoc analyses.
- Create technical specifications.
- Participate in process improvement initiatives.
