This is Us.
A team of more than one thousand people sharing an idea: doing our bit in helping our clients create a better future for themselves, providing them with the tools they need to get where they want to go.
In today’s world, we know this happens because we are a fully online bank. We were born out of that idea and 20 years on, technology, simplicity and transparency continue to be the ingredients of the recipe that leaves the best taste in our mouths: being more than just a bank, someone useful in the lives of the millions of clients who have chosen us.
The way we do things also mirrors our eagerness to innovate. We are proud to be one of the very first banks to work with agile methodologies. It doesn’t ring a bell yet? No worries, we will be delighted to tell you all about it. You will find it’s one of those things you’ll want to repeat over and over.
And although we are based in Spain, we like to cross borders. We are lucky to work with international teams every day across 44 countries, composed of women and men as equal as they are diverse. Because here you are completely free to be who you want to be, love whomever you choose, and even go for pineapple as your pizza topping.
Making things happen, helping others be successful, always being one step ahead—that’s our DNA. If you look at yourself in the mirror and your reflection matches our way of being and working…we are looking forward to meeting you!
What are we looking for?
Data Scientist Chapter Lead
We redefine banking. What about you? At ING we're all about staying one step ahead. It's what we want for our customers, and what we want for our business. 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! We like to work with people who are also forward-thinkers - people who want to challenge themselves to achieve their full potential. You have talent for taking it on and making it happen, enthusiasm for helping others to be successful and being a step ahead. There has never been a more interesting time to work at ING. Jump on. Your next career move could start right here.
As a Data Science Chapter Lead you “lead” by example, share your best practices openly and coach your colleagues in a spontaneous way, and your day-to-day job would consist of data exploitation.
As a Chapter Lead, you will take 40% 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
Oversee the analytical work of the other members of the team, you will be the data science expert.
To propose training/courses, professional literature
To play a role model to generate curiosity of your team towards other domains of expertise
During the remaining 60% of your time, you will work active as a Data Scientist, with the following responsibilities:
Build/improve predictive models using statistical and machine learning techniques.
Design, analyse and interpret business hypothesis and explore datasets through using available tools.
Recommend ideas to business when data/results is available through good visualizations / predictive algorithms.
Assist users to understand the data science principles and when needed provide an explanation for the model behaviour and possible correcting actions.
To automate and standardize recurrent machine learning activities to enable efficiency gains
To provide end-to-end data / analytical support for the stakeholders’ actions
Do you recognize yourself in this profile:
MSc or PhD with excellent academic results in a technical field (Econometrics, Computer Science, Physics, Artificial Intelligence, etc.), but this can be substituted with excellent capabilities.
Knowledge of the latest developments in the analytics community (methods and tools) combined with the ability to decide which of these are most relevant to ING and translate them into opportunities. You have an in-depth understanding of algorithms like Random Forests, Neural Networks, MCMC, reinforcement learning and NLP.
Strong programming skills in Python and Spark are a must.
You are experienced in explaining complicated analysis to a non-technical audience with your storytelling and data visualization skills.
You have excellent oral and written communication skills at technical and business level.
We consider 3+ years of work experience in the Data Science field a strong plus.
Fluent in written and spoken English.
You have a learning attitude. Not only to master new algorithms and technologies, but also on the interpersonal level. You realize that the value of your work is quality x acceptance and want to become better at both. You are proven to be able to give, ask and incorporate feedback.
You have experience in building data products. From inception to production. With your full-stack capabilities, you can build a prototype, but also improve an issue within the existing models in production. You love coding.
You feel at home in a high-performing team and you make the other team members feel at home as well. You have the independence to speak up when needed.
You have exceptional problem-solving capabilities. You understand that understanding the problem is at least 90% of the solution. You have displayed creativity and tenacity in cracking the problem and finding a solution to it.
What do we offer?
Flexible schedule and 100% flexible e-working.
What goes on at ING matters much to us.
But we know that the most important things are outside the office.
So that thinking about what to have for lunch doesn’t take up your time or your cravings.
We hope you don't need to use it!
For you and all your family (spouse/partner and children).
In addition, you can enjoy our flexible remuneration model, through which you can access other services such as nursery, transport card, training aids…
Free company shuttle.
It doesn't matter where you live... we have 6 routes (North, Central, South, A5, A42 and A6) to get you to work comfortably.
Special loan or mortgage terms after 6 months working at the bank.
And benefit from our pension plan after 2 years with us.
More health, more sports.
Runners club with your own trainer.
Clinics with professional, world-class athletes.
Physiotherapy service on site.
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