Data Science Manager (Remote)

ING Bank N.V.
Madrid, Spain
14 days ago
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Role details

Contract type
Voluntary work
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Agile Methodology Artificial Intelligence Data Analysis Big Data Data Visualization Distributed Computing Environment Apache Hadoop Apache Hive Python (Programming Language) Machine Learning Natural Language Processing Recommender Systems
+3 more
SQL Databases Apache Spark Information Technology

Job description

At ING we are looking for Senior Data ScientistWe are looking for a talented and enthusiastic Senior Data Scientist to join our Advanced Analytics Team of GrowthThe responsibility of this team is to develop all type of AI models and analytical products in the field of Machine Learning and Big Data context.Our way of working mirrors our eagerness to innovate and the agile methodologies are on our daily basisAs a data scientist you will:Proactively take end-to-end ownership of the design and delivery of ML products across multiple departments within the bank.This includes a broad range of AI/ML solutions such as credit risk and decision-making models, churn prediction, recommendation systems, NLP solutions, income and expense estimation, data categorisation, clustering and segmentation, pricing models, OCR, and more.You will co-create and evaluate business solutions using the best predictive approaches, working in cross-functional and international teams made up of business stakeholders, data analysts, data scientists and engineers.You will also act as project manager making sure each solution meets business requirements, delivers tangible value to our clients, and adheres to our high standards of coding quality, robustness and engineering excellence.These are some of the qualities that we value the most for this role.We are seeking a passionate and highly skilled Data Scientist used to work near to business, understand the challenges and who proposes solutions proactively, defining the appropriate analytical solution for each challenge.Holds a degree in Mathematics, Statistics, Computer Science, or a related field .Proven experience in data analysis, data visualisation and the development of predictive Strong command of SQL and Python, along with experience in distributed computing frameworks such as Spark, Hadoop, Hive, and similar technologies, as well as modern MLlibraries.Keeping both our customers and our colleagues’ needs in mind, you determine together which days you work at home and which you come to ING MAD to offer your best self.Health insurance.In addition, you will enjoy our flexible remuneration model, through a more tax-advantaged way, you will be able to access other services such as nursery, transport card, training aids…It doesn’t matter where you live.We have 6 routes (North, Central, South, A5, A42 and A6) to get you to our ING office in Madrid comfortably.Banking benefits.Special mortgage conditions after 6 months working at the bank.360o care of the employee (physical, mental, social connection & purpose).Employee Networks: Rainbow Lions (LGBTQI+), Leonas & RIÑG.International Remote work program.A fully online bank where technology, innovation, simplicity and transparency are the main ingredients, and the first one to work with agile methodologies .And although we are based in Spain, we are lucky to work in an international bank with presence in more than 40 countries.We are proud to have a diverse team, and we are committed to continue developing a culture of Diversity, Inclusion and Belonging to foster a culture of collaboration and innovation that represents all collectives in the society.And even though we look orange on the outside, we are green on the inside.Our ambition in Sustainability is Empowering (y)our Sustainability journey.Job Application Safety ReminderLegitimate communication will always come from @ and/or @.No payments or banking details will ever be requested: If someone asks for this information, it’s a scam.

Requirements

We are seeking a passionate and highly skilled Data Scientist used to work near to business, understand the challenges and who proposes solutions proactively, defining the appropriate analytical solution for each challenge.Holds a degree in Mathematics, Statistics, Computer Science, or a related field .

About the company

Proven experience in data analysis, data visualisation and the development of predictive Strong command of SQL and Python, along with experience in distributed computing frameworks such as Spark, Hadoop, Hive, and similar technologies, as well as modern MLlibraries.Keeping both our customers and our colleagues’ needs in mind, you determine together which days you work at home and which you come to ING MAD to offer your best self. Health insurance. In addition, you will enjoy our flexible remuneration model, through a more tax-advantaged way, you will be able to access other services such as nursery, transport card, training aids…It doesn’t matter where you live. We have 6 routes (North, Central, South, A5, A42 and A6) to get you to our ING office in Madrid comfortably.Banking benefits.Special mortgage conditions after 6 months working at the bank.360o care of the employee (physical, mental, social connection & purpose). Employee Networks: Rainbow Lions (LGBTQI+), Leonas & RIÑG.International Remote work program.A fully online bank where technology, innovation, simplicity and transparency are the main ingredients, and the first one to work with agile methodologies . And although we are based in Spain, we are lucky to work in an international bank with presence in more than 40 countries.We are proud to have a diverse team, and we are committed to continue developing a culture of Diversity, Inclusion and Belonging to foster a culture of collaboration and innovation that represents all collectives in the society.And even though we look orange on the outside, we are green on the inside. Our ambition in Sustainability is Empowering (y)our Sustainability journey. Job Application Safety ReminderLegitimate communication will always come from @ and/or @. No payments or banking details will ever be requested: If someone asks for this information, it’s a scam.

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