Data Scientist

ING

Brussels, Belgium

Ref: 054575

You will be working for the Data Science chapter: a young and dynamic team of T-shaped professionals, who take care of the further development of data-driven innovation. The team uses a comprehensive data and application infrastructure, up to date with the latest developments in the open-source domain. The ultimate success of the team is determined mainly by the way its insights, algorithms & applications are used within ING. To expand our chapter, we are specifically looking for a data scientist with a strong knowledge of and affinity with the development domain. Your role in the chapter will be twofold. First, together with your colleague data scientists, you will be working actively within the business units of the bank, supporting their targets with data-driven solutions. Second, you will be working actively together with the DevOps squad. In this part of your role, you will be able to develop tools which expand our data-science capabilities and you will play a crucial role in the end-to-end process from model development up to implementation.

Your key responsibilitiesAnalyzing a variety of internal and external data sources

  • Determine the scope in collaboration with the relevant stakeholder in the segment, service or support tribes.
  • Treat and analyze data using statistics / machine-learning techniques through specialized data-science tooling (Python, Spark, Hive, Jupyter, etc.) on a Hadoop cluster.
  • Search for new (open) data sources to enrich the analysis.

Advising: from data to insights to actions

  • Translate the presented business problem to an analytical approach. Think of business problems such as identifying specific client behavior or needs, further personalizing our commercial approach, improving our internal process efficiency, etc.
  • Transform these analyses into comprehensible information, define actions, formulate advice and present this to the relevant stakeholders (including senior management).
  • Bring your analytical solution to production.

Bridging the gap between data science and engineering

  • Be the voice of the data scientists among the DevOps by challenging the further development of the platforms in order to grow our data-science capabilities.
  • Pick up on the tooling needs of your colleagues and help build the according solutions using Scala, Spark, etc.
  • Work on smoothening the end-to-end process from model development up to implementation by using supporting technologies like SBT, Maven, Jenkins and Nolio.

We look forAre you someone who …

  • is extremely curious, and constantly looking for an explanation
  • is able to handle setbacks, a real sticker
  • analyzes sharply, concise and to the point, and who knows how to convince others
  • maintains the overview in complex, unclear situations
  • is good at communicating, presenting and selling his/her ideas
  • is enthusiastic, and a real team player
  • quickly adopts new techniques and software

And you have as well …

  • an academic master’s degree (PhD is a plus) with a focus on math/statistics/ econometrics/computer science (preferably with specific attention for machine learning and/or artificial intelligence)
  • relevant end-to-end experience as a data scientist and/or developer for at least 2 years.
  • knowledge of and experience with data-science / development technology. Experience with multiple analytical coding languages (Python, Scala, R, etc.) as well as with HDFS, Spark, Hive and Yarn is crucial. Knowledge of and experience with Ambari, Ranger and Jenkins are considered a plus.
  • demonstrable knowledge of and experience with statistics and/or machine learning.
  • a grounded knowledge of English; Dutch and/or French is a plus.

… then you are our new Data Scientist.


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