Data Scientist

Profil - image
Praca Kategoria ofert:
Profil stanowiska: Doradztwo / Konsluting, Inżynieria, IT,
Nr referencyjny: DS2019/1
Data ważności oferty: 29.02.2020

Nazwa firmy

Capgemini Polska SP. z.o.o

Opis firmy

Capgemini Invent combines strategy, technology, data science and creative design to solve the most complex business and technology challenges.

Disruption is not new, but the pace of change is. The fourth industrial revolution is forcing businesses to rethink everything they know.


Leading organizations behave as living entities, constantly adapting to change. With invention at their core, they continuously redesign their business to generate new sources of value. Winning is about fostering inventive thinking to create what comes next.


Invent. Build. Transform.

This is why we have created Capgemini Invent, Capgemini’s new digital innovation, consulting and transformation global business line. Our multi-disciplinary team helps business leaders find new sources of value. We accelerate the process of turning ideas into prototypes and scalable real-world solutions; leveraging the full business and technology expertise of the Capgemini Group to implement at speed and scale.


The result is a coordinated approach to transformation, enabling businesses to create the products, services, customer experiences, and business models of the future.

Opis stanowiska

We are looking for 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.


  • Processing, cleansing, and verifying the integrity of data used for analysis.

  • Data mining and performing EDAs using state-of-the-art methods.

  • Feature selection, model building and optimizing classifiers / regressors, etc. using machine learning techniques.

  • 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.

  • Follow and help improve with ‘Analytics-Delivery’ procedures using detailed documentations.


    Skills and Qualifications

  • Excellent understanding of data-science and machine learning techniques and algorithms, such Clustering, K-NN, Logistic regression, Naive Bayes, SVM, Decision Tree, Random Forests, etc.

  • Experience with common data science toolkits, such as NumPy, Pandas, SkLearn, NLTK, Keras, TensorFlow, etc.

  • Good understanding on building NLP, ANN and Deep-learning models (CNN, LSTM) would be a plus.

  • Experience with data visualization tools would be a plus.

  • Hands-on experience of using query languages such as SQL, Hive, etc.

  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.

  • Good scripting and programming skills

  • Data-oriented personality

  • Great communication skills


Skills Required:

  • Hands on with Data mining, Statistical modelling and ML techniques.

  • Excellent problem solving, Requirement gathering.

  • Flexible to travel (over 50% of time)

  • Excellent English and Communication skills

Industries Exposure (Good to have): Finance / Automotive / Healthcare / Retail

Technical Skills Required:

(Required) R, Python for Analytics

(Preferred) SAS, Hadoop, SQL, Hive, PySpark, TensorFlow

Czy na stanowisku wymagany jest język polski?




  • 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 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



  • 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

Kluczowe kompetencje

communication and relationship building, processing and selecting information, knowledge of software for statistical data analysis, economic analysis,

Wymagane dokumenty

Authorized to Work in Poland , open to Travel across Europe


As per Europe GDPR guidelines and Polish laws appicable

Preferowana forma zatrudnienia

Pełny etat

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