(Senior) AI / Data Science Consultant Ref. no. INV/0220/WAW
Warszawa, PL
1 d. temu

As the digital innovation, consulting and transformation brand of the Capgemini Group, Capgemini Invent helps CxOs envision and build what’s next for their organizations.

Located in more than 30 offices and 22 creative studios around the world, it s 6,000+ strong team combines strategy, technology, data science and creative design with deep industry expertise and insights, to develop new digital solutions and business models of the future.

We are a rapidly growing team of talented Data Science enthusiasts which have dedicated themselves to building innovative and data-driven products & services for customers across industries.

Our aim is to rapidly develop cutting-edge solutions by applying the latest technologies and data science techniques.

Who are we looking for? / What we do?

Our focus is currently five subject matters, which are closely related and mutual, so is our team :

Predictive models

State-of-the-art machine learning and data science techniques allow us to build powerful models to forecast & optimize sales, churn, fraud etc.

We build predictive models (like clustering, regression etc.), predictive maintenance, image & object recognition and anomaly detection models.

Data engineering & Infrastructure

For us technology is an enabler, thus we make sure we utilize what is most suitable for solving the given problem. Modern tech stack, cloud-driven services, powerful GPUs these are some of the ingredients that make us successful.

Analytics & Visualization

We bring big data to live and gain insights from it. Utilized technologies are e.g. : Tableau, Power BI, Qlik, R Shiny, Bokeh, D3.js among others

AI Applications

We build bots, automate back-office applications with cognitive solutions (like RPA, ICR, NLP etc.), intelligent search appliances etc.

Key technologies are Microsoft Bot Framework, Kore.ai, Dialogflow, UIpath, Neo4j, ElasticSearch and many others.

Training and Enablement

We offer different curricula & workshop formats for our colleagues but also for our clients, enabling them to understand what it takes to be data-driven and data-ready.

We are looking for you :

A Data Scientist who is energetic and curious, who will help us discover the information hidden in vast amounts of data, and help the stakeholders make smarter decisions.

Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality ML / DL algorithms. What this means :

  • A strong academic background, having studied a quantitative subject such as mathematics, statistics, computer science, natural science or equivalent experience in a related subject. (Ph.D. preferred)
  • Work experience of 2+ years in the data science / analytics domain
  • Strong understanding and application of statistical methods and skills : distributions, experimental design, variance analysis, A / B testing, regression, classification, unsupervised methods or reinforcement learning
  • Experience in using statistical software, scripting languages, and packages / such as Python, R, Matlab, SAS, Pearl, Caffe, SAP Predictive Analytics, IBM Analytics, KXEN, etc.)
  • Experience building and deploying predictive models
  • Can-do / can-solve attitude
  • Team-play and good communications skills (good English is a must, good German / French / Spanish is a plus)
  • Willingness to travel within Europe
  • What will you do?

  • Work as a team member in data science projects across various industry sectors in multiple skills set-up and with multiple geography involved.
  • Participate in initiatives and solution offering creations in the data science areas.
  • Feature selection, model building and optimizing classifiers / regressors, etc. using machine learning techniques. Develop Models using open source packages e.g. Python and R.
  • Prepare workshop for requirement gathering and developing solutions.
  • Work to design and develop analytical / data mining / machine learning / deep learning models as part of data science solutions.
  • Design and build an end-to-end prototype data science solution to a business problem in any specific sector / function, more specific to any manufacturing and asset intensive industry domains.
  • Process, cleans, and verify the integrity of data used for analysis.
  • Use state-of-the-art methods for data mining and performing EDAs.
  • Help enhance data collection procedures to include information that is relevant for building analytical systems.
  • Doing ad-hoc analysis and presenting results in a clear manner.
  • Who will you be working with?

    As an integral part of global Data Science community within Capgemini Invent and Capgemini Group, you will help our Clients towards transformations using AI / Data Science or automation technology to at the very forefront of innovation in different sectors.

    You will have the opportunity to shape the future of business operations, build new models or solutions including prototyping.

    We seek focused and inspired individuals who have the special power to build the close, trusting relationships that are key to delivering the seamless and efficient transitions that Clients expect from Capgemini.


  • Working with great people and in legendary atmosphere
  • No formal dress code
  • Being part of the global community to be able to leverage the existing network of Data Scientist experts
  • 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
  • Development

  • Development in expert or leader competencies
  • Broad training offer with possible co-funding
  • Access to MIT Sloan Management Review Polska 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
  • Internal development events : conferences, meetings, communities
  • Benefits

  • Contract of employment for an indefinite period
  • Comprehensive salary package
  • Bonuses, including those for new employees’ recommendation
  • Additional life insurance
  • Access to MyAudiobooks Entertainment and personal growth in audio version
  • 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
  • Anti-smog plants in offices
  • Car leasing
  • In case of your interest in the above role, please send your CV in English, cover letter and certificates with the reference number INV / 0220 / WAW to our mailbox

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