Chapter Lead, Advanced Analytics & Data Science

ING Hubs B.V. Turkiye

Başakşehir

On-site

TRY 900,000 - 1,400,000

Full time

14 days+

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Leave 14 days welcome leave

Career opportunities: self-driven and跨

Personal growth: continuous dev

Dynamic, collaborative culture

PACE innovation culture

Global exposure: international proj.

Communication & celebrations

Private health insurance

Private pension plan

Meal card

Transportation allowance

MultiSport membership

English language development support

Remote working opportunities August

Job summary

ING Hubs Türkiye seeks a Chapter Lead for Advanced Analytics to build and guide a high‑performing DS chapter. You will balance people management with delivery work, ensuring capability development and optimal capacity allocation for global priorities.

You will lead, mentor and align with Tribe Leads and Product Leads to deliver complex data projects. You will drive analytics backlog, own performance, and contribute hands-on on DS tasks across lending, personalization, and pricing domains, while

Qualifications

Bachelor's degree in technical or business field (mathematics, engineering, CS, econometrics)
Management experience in an Agile organization
Management experience in a matrix setup is a plus
Strong analytical skills and data science background in retail domain
Experience/knowledge of the Tribe business you work in; analytics track record in backlog management and capacity planning
Ability to lead experts in a complex, dynamic environment and empower teams
Focussed on continuous improvement and craftsmanship development
Excellent Python and Spark skills; fluent English; Agile/Scrum experience

Responsibilities

Develop and align the future of the DS capability craftsmanship with your chapter
Allocate chapter capacity to global backlog delivery with Tribe and Product Leads
Lead and manage your chapter members and performance; mentor and escalate as needed
Contribute hands-on as data scientist on retail DS projects like lending, personalization, pricing
Drive interview processes and attract top talent for your chapter
Collaborate with other Chapter Leads to align capabilities and capacity across chapters