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Chapter Lead Data Scientist à Brussel / Bruxelles

Chapter Lead Data...   We redefine banking. What about you? There has never been a more interesting time to work at ING. We’re on a journey that’s centered around our customers, powered by technology and driven by smart,...

Description du poste

Chapter Lead Data Scientist

 

We redefine banking. What about you?

There has never been a more interesting time to work at ING. We’re on a journey that’s centered around our customers, powered by technology and driven by smart, determined people. Our customers feel our people are empowering them to stay a step ahead in life and in business. We’re proud of that!

Would you like to work for a bank where honesty, integrity and responsibility are valued? Are sustainability, caring for others and thinking ahead part of your DNA? Do you want to make the difference for our customers thanks to our agile way of working? (click on link to see the video ) Then read what comes because ING might very well become your future employer.

 

Your role & work environment

 

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.

 

As a Data Scientist Chapter Lead, you will be responsible for the coaching and development of the team of Data Scientists, both on hard skills and soft skills. Additionally, you’ll also be the person in charge of backlog cultivation/prioritization with your network of business partners throughout the bank, in order to drive the business delivery through data insights/AI/machine learning. Similarly, you’ll work together with our engineers to align on the needed technical work environment of the data scientists. Finally, you’ll also pick up the activities of a data scientist yourself, working together with your team on one of the delivery projects.

 

Your key responsibilities

 

As a chapter lead, you will take 70% of your time for the following responsibilities :

  • To manage, coach, inspire, develop, evaluate and assess employees
  • To keep expertise related to the work field up to date and to develop the analytical craftsmanship
  • To steer the direction of the business delivery based on AI/data science, and supervise the delivery of your data scientists according to stakeholder’s expectations
  • To ensure a smooth collaboration with the machine-learning engineers and the platform team, in order to provide the data scientists with an efficient and up-to-date work environment
  • To collaborate closely with the BE / NL Chapter Leads for Data Analysts and Data Scientists

 

During the remaining 30% of your time, you will work as a Data Scientist, with the following responsibilities :

  • Analyzing a variety of internal and external data sources
    • Determine the scope of different initiatives 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 on a Hadoop cluster (Python, Spark, Hive, Jupyter, etc.) or GCP environment (BigQuery, Dataproc, etc).
    • 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 through automation / digitalization, 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.

 

We are looking for

A colleague with a talent for taking it on and making it happen, enthusiasm for helping others to be successful and a knack for always being a step ahead. In other words, you strive to bring fresh ideas to life and embrace challenges in a fast changing and complex environment. You are a naturally collaborative person who listens and invests in others to achieve common goals. You love to challenge the status quo and are eager to propose creative solutions to problems.

 

As a Chapter Lead Data Scientist :

  • You are an analytical person with a clear business focus
  • You take the ownership on mission, actions and show a high level of autonomy
  • You are able to influence and convince not only peers but also stakeholders
  • You share actively your knowledge and support the development of others
  • You “lead” by example, share your best practices openly and coach your colleagues in a spontaneous way.
  • You love collaborating with different people and working within an international context.
  • Evolution is part of your DNA: you are interested in how analytics evolve, and translate this into the continuous improvement of our processes.
  • Strategy is at the basis of your thinking. You closely follow our banking strategy and industry best practices. You also introduce innovations in both our customer interactions and our way of working
  • You hold an academic master’s degree with a focus on math / statistics /  econometrics / computer science (preferably with specific attention for machine learning and/or artificial intelligence)
  • You have relevant experience in corporate analytics for at least 3 years.
  • You have strong project-management skills.
  • People-management experience is a plus.
  • You have experience with agile / scrum.
  • You should be knowledge of and have experience with data-science technology. Experience with Python and Pyspark is crucial, as well as working with full data-science pipelines from prototyping to deployment.
  • You have demonstrable knowledge of and experience with statistics and/or machine learning.
  • You have a grounded knowledge of English; Dutch and/or French is a plus.  

 

We offer you 

  • the opportunity to have an impact on one of the key players in the Belgian financial industry, as well as collaborate on an international level with our data-science colleagues from other ING entities.
  • challenging and diverse job content, both in terms of business domains to work for (Marketing, Credit Risk, Investments, Channels, KYC, etc.) as well as techniques to apply (supervised learning, unsupervised learning, time series, deep learning, NLP, etc.)
  • an environment where 20% of your time can be dedicated to your own personal development and to self-chosen initiatives contributing to ING’s success.
  • flexible working hours and the opportunity to work from home
  • a young team of data scientists with different backgrounds, whom combine ambition and drive with a dose of fun and humor
  • an interesting salary package, including a diversity of financial and non-financial benefits 

Informations supplémentaires

Statut
Inactif
Lieu
Brussel / Bruxelles
Permis de conduire BE/EU exigé
Non
Voiture exigée
Non
Lettre de motivation exigée
Non

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