Join Our Team as a Chapter Lead Data Science at ING

Company: ING

Job Title: Chapter Lead Data Science

About ING and TeamING

At ING, our purpose is to empower people to stay a step ahead in life and in business. With a strong brand presence recognized across various countries and a commitment to sustainability, ING is not just a bank but a pioneer in innovative financial solutions. Our robust financial standing and multi-channel distribution strategy underpin our global operations and customer-centric approach.

If you’re ready to drive change and excel in a data-driven environment using cutting-edge machine learning techniques, ING Analytics could be your next career move. Join us as we revolutionize banking through analytics, enhancing customer experiences and operational efficiency well beyond traditional banking models.

The Role of Chapter Lead Data Science

As a Chapter Lead in Data Science, you’ll be playing a dual role at ING. Not only will you manage and develop a team rich in diversity and skills, but you'll also collaborate closely in project delivery, enhancing your team’s expertise in Advanced Analytics. Your leadership will ensure that our analytics capabilities align seamlessly with organizational objectives and client needs.

Key Responsibilities:

- Collaborate with Tribe Lead and Product Lead to refine and advance Data Science capabilities.
- Manage resource allocation across projects in conjunction with other Chapter Leads.
- Foster career development and engagement among chapter members to achieve both personal and company goals.
- Lead by example through hands-on involvement in data science projects within retail domains such is lending and personalization.
- Champion continuous learning and improvement across your team.
- Recruit and retain top talent, guiding interviews and selection processes.

What You’ll Need to Succeed:

- Master’s degree in a technical or business field such as Computer Science, Engineering, or Econometrics.
- Proven experience in managing teams within Agile and matrix environments.
- Strong analytical skills and experience in retail data science.
- Fluent in Python and Spark; exceptional command of the English language.
- Agile/Scrum familiarity.

Rewards and Benefits

ING values work-life balance with flexible working arrangements, a competitive salary pack including a 13th-month salary, personal development opportunities, and more. Discover the full array of benefits here:

Why ING?

Become part of our international network where you can shape the future of banking. With over 60,000 employees worldwide, INQ nurtures a progressive, inspiring, and supportive work environment. Join us to leverage your skills in a place where you truly belong.

Ready to Make a Difference? Apply today by clicking the "Apply" button, and start your journey at ING where you can transform the future of banking.

For more details, please contact the recruiter associated with this job listing.

We look forward to welcoming you to Team ING, where you can be at the forefront of financial innovation.

Note: The selection process may involve multiple interview steps with various business stakeholders.