Data Scientist

About us

Capgemini’s Cloud Infrastructure Services unit is a global team of technology experts and domain specialists that helps businesses from all around the world extract maximum business value from their IT investment and facilitates their journeys to the cloud.

In addition to facilitating journeys to the cloud, we support businesses by providing services such as helpdesk services (human and AI powered), network access and maintenance, hosting and maintaining applications, IT operations and much more. We do all this in 24 languages from 4 locations in Poland.

Join our global team and be part of technology transformation.

 

Who are we looking for?

  • Min 2-3 years of experience in data science
  • Experience in Python or R
  • Experience in machine learning fields such as: Forecasting/Prediction, classification, regression, clustering and dimensionality reduction. (Deep learning frameworks is a plus)
  • Experience in data visualization (PowerBI, Qlik, etc)
  • Good understanding and working experience with on cloud ML solutions (AWS, Azure, Google)
  • Experience with working in agile environments
  • Speaks/writes fluently in English
  • Related education (i.e computer science or economy)

Nice to have:

  • Good German language skills

 

What will you do?

As a Data Scientist you will be responsible for supporting sales presentations, initiation and successful execution of Analytics projects to demonstrate capabilities and enable further opportunities for offering other services. Acting as Subject Matter Expert for Client workshops and helping to build a relevant and promising business cases for our Clients.

Main accountabilities: 

  • Presenting the Data Scientist and Analytics capabilities to internal and external customers
  • Liaising with internal and external clients to clearly communicate objectives, deliverables and dependencies of the project
  • Executing Data Science / Analytics projects based on Analytics methods (including statistics, process mining, data mining, etc.)
  • Presenting project outcomes and recommendations to the clients
  • Possible travel to Client

 

Who will you be working with?

Cloud Cognitive Solutions team in Capgemini consists of mix of talents, skills and approaches towards Data Science. Our main goal is to develop our competences and skills to become best Capgemini team. We focus on any AI related subjects, where Data Science can bring extra value and benefits for our clients but most importantly is to have fun while doing what we like.

 

What we offer?

Atmosphere

  • Working with great people and in legendary atmosphere
  • No formal dress code
  • Annual family picnics
  • Unforgettable integrational events
  • Employee volunteering opportunities and interesting CSR projects
  • We value and respect diversity in terms of gender, nationality, roles, age, interests
  • Internal celebration initiatives: Children’s Day, St. Nicholas Day and many more
  • Supporting employees’ hobbies: Business Run, e-sport games, basketball, volleyball

Development

  • Development in expert or leader competencies
  • Broad training offer with possible co-funding
  • Access to Harvard Business Review knowledge base
  • Introduction plan for new employees and Buddy Initiative
  • A wide range of instructor-led and e-learning trainings
  • Co-financing for post-graduate studies and courses
  • Many companies under one roof / internal headhunters
  • Internal development events: conferences, meetings, communities
  • Education First platform for learning English online

 

Benefits

  • Bonuses, including those for new employees recommendation
  • Additional life insurance
  • Attractive package of extra benefits of your choosing (fitness, gym, cinema, etc.)
  • Disability inclusion, assistive technologies, reasonable accommodations
  • Private medical care for you and your family
  • Bicycle parking and carpooling options
  • Free coffee, water, milk and wide range of teas
  • Anti-smog plants in offices
  • Car leasing

Ref:

Data/Scientist/KRK/KTW

Opublikowane:

2019-08-09

Poziom doświadczenia:

Professionals

Poziom edukacji:

Bachelor's degree or equivalent

Typ zatrudnienia:

Stałe zatrudnienie, pełny etat

Lokalizacja:

Krakow/Katowice

Department:

Infrastructure Services

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