
Data Scientist- Product
1 day ago
At ING we encourage you to Do Your Thing to do more of what you love. We're on a journey that's centered around our customers, powered by technology and digital environment, 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
We want you to discover and develop yourself while developing others, be creative, be successful, excel at your career life, work agile so new ideas come to life faster Interested?
If you think you are the ideal candidate for our Data Scientist - Product & Channel Analytics in our Chief Analytics Officer Group in ING Technology; if you are willing to work in a global company with flexible hours in casual dress-code every day, and in flexible places two days a week in our Maslak Headquarters, this is a great opportunity to step up. As Data Scientist - Product & Channel Analytics, you will be responsible for supporting business units with Data Analysis & Data Science for data driven decision making, building analytic models to respond to business needs for customer-based marketing & pricing analytic models.
What do we offer:
At ING we want your work to fulfill you in every way, and that is why we take care of even the smallest detail. Check out what is waiting for you;
- 14 days of welcome leave days even in your first year Don't postpone your dreams
- Flexible working models where you can manage your time and do your thing.
- Working in hybrid model where you can choose your flexible days
- Every 3rd week of the month working remotely
- With summer flexi, working remotely at the summer times
- We provide self-driven career opportunities where you have never experienced before, such as double major, short term assignment
- Develop yourself with global/local ING Academy opportunities; TrainINGWeek, special certification programs with top universities, various training programs that will help you to empower yourself
- Special information sharing environment where you can update & align yourself
- Personal growth & challenging work with endless opportunities to realize your ambitions
- An informal, dynamic environment with innovative colleagues supporting your endeavors
- Share your innovation ideas while discovering PACE methodology
- Take a part in local and global projects and/or career opportunities
- Have fun with various communication activities & celebrations
- Explore new hobbies with our social clubs
- We care for your health; comprehensive health insurance package for you and your beloved ones (spouse/children)
- Private Pension plan for your future dreams
- There are corners which ease your daily life like; hair dresser, gym, coffee places, market etc…
If you think you have most of the following qualifications;
- Bachelor's with analytical background, preferably in a quantitative discipline – Mathematics, Engineering, Economics, MIS, Statistics etc. (Master's degree will be a plus)
- 4+ Year Experience in Data Analysis & Data Science
- 2+ year Experience in using machine learning algorithms to develop analytical models (Experience in marketing and sales models (propensity, churn, segmentation) and pricing models are plus)
- Expert level experience in Data Analysis
- Knowledge of Python, SQL or SAS
- Good command in Office Programs
- Excellent organizational and analytical skills; detail-oriented and forward thinking
- Good at communication and coordination, stakeholder management, team-work, analytical thinking, highly motivated, flexible, adaptable, resilient & result oriented personality
- Highly motivated to improve skills on Data Analytics & Data Science
- Strong command of programming and modelling techniques, problem solving, communication and multi-tasking skills
- Good command of written and spoken Turkish & English.
If you think you may take charge of the following responsibilities;
- Manage the entire analytical process – from outlining the type of solution through implementation, interpretation of results and transferring capabilities to business units
- Use data assets to gain insights into current business processes and propose enhancements for core decision making processes
- Develop complex mathematical models; analyze, process, evaluate large data sets
- Build an in-depth understanding of the business domain and available data assets
- Communicate effectively with analytics/data experts as well as business managers to assess opportunities and develop data driven solutions
- Work on projects and exchange experiences, and continuously build methodological knowledge and skills
- Translate complex datasets into key strategy insight
If you want to do your thing and explore life while working don't miss this opportunity
Candidates are expected not to share any sensitive personal data.
Seniority levelMid-Senior level
Employment typeFull-time
Job functionInformation Technology
IndustriesBanking
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