We are more than 5000 people at BCR and each and every one of us is different. We like to believe that our diversity of ideas, attitudes, passions, feelings and origins make our culture more beautiful and our jobs more meaningful!

Senior/ Mid Data Scientist | BCR
  • Work place: Hybrid

  • Collaboration: Employment contract

  • Work time: Full Time

  • Seniority: VP / CXO

  • Updated on: 1 year ago

  • Vacant from: 06 Oct, 21

  • Expires on: 19 Jun, 23

  • Pay: Negotiable

  • Categories: Backend, Fullstack, Data science, Machine Learning, Big Data, Artificial Intelligence

  • Size:> 500 employees

  • Industry:Banking

Market (net €/month)
  • Only Loginro members with a minimum completed profile that share their salary expectations for this position may access its industry median pay.

We’re currently looking for people to join our amazing team. The data science team provides our business partners with consulting services in data-driven projects where learning from data and getting added value from data-derived insights has a significant part.

To reinforce this team, we are looking for new colleagues. We’re currently searching for a colleague with a black belt in data language (Senior level) but also a colleague that almost have it (Middle level). If you're someone who possesses an enthusiastic and ambitious attitude, enjoys working collaboratively within a high performing team and, you think in terms of possibilities, opportunities and discoveries and have found your niche in the breadth and depth of advanced analytics that wow, then please keep reading! 

How You Will Contribute

As a Data Scientist we encourage you to explore the world of Big Data and stretch the capabilities of our tools. We want you to embark in the driving seat of the Advanced Analytics future and build the most exciting and innovating Machine Learning models. You will wonder in the world of open-source programming languages like Python and R and integrate yourself in the Hadoop unlimited possibilities combined with the power of the Spark framework. Together, you will combine powers and deliver the Best Banking Experience for our clients. We want you to take charge and bring new ideas, new projects and new technologies to the table.

Surrounded by great colleagues, a normal day in the role of the Data Scientist includes:

  • Machine Learning driven models development;
  • Business inquire regarding future model developments;
  • Develop and maintain reports regarding the model performances;
  • Data Sources discovery and manipulation;
  • Production integration for developed models;
  • Results communication by translating insights into business value.


What will help you be successful

  • A degree with strong fundamentals in mathematics or computer science or other related fields;
  • Experience working in a data science role in a commercial environment (financial and banking would be a plus);
  • Very good knowledge about statistics including distributions, correlations, probabilities, hypothesis testing etc;
  • Experience with machine learning algorithms and techniques (dimensionality reduction, classification, clustering, regression, time series, association rules etc.);
  • In-depth knowledge of industry standard techniques for data processing, data management, data delivery, data mining, analysis and reporting (SQL);
  • Very good experience with Python including Sklearn/Statsmodels/Pandas/Numpy/Scipy/etc. (any other experience in using a scripting programming would be a plus);
  • Experience with visualization tools (Power BI/Plotly/GGplot/etc );
  • Understand the big data ecosystem and its major components (HDFS, YARN, MapReduce, Spark, Pig, Hive, Kafka etc.);
  • Experience with ML/Ops, CI/CD pipelines;
  • High analytical abilities and curiosity for finding hidden insights in data.


Benefits included

Meal tickets

Medical subscription

Medical insurance

Medical benefits for family

Dental coverage

Additional vacation days

Learning budget

13th salary

Remote working (offsite)

Work from home

Flex time (07:00 - 19:00)

Office perks (ping-pong, juice, gaming spaces ie)

Gym & sport subscriptions

Flexible benefit (budget offered by employer)

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