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Data Scientist for Decision Modeling
Danske Bank Lithuania
Data Scientist for Decision Modeling
Danske Bank Lithuania
Data Scientist for Decision Modeling
Danske Bank Lithuania

Data Scientist for Decision Modeling

Danske Bank Lithuania

Area

Would you like to further develop your data modelling skills as well as using your competences on an area with large impact for our business? Join the Decision Modeling team and become a Nordic frontrunner to automate credit decisions.

You, as a Data Scientist will have an opportunity to build and migrate decision models together with your team to improve current credit granting processes and putting customers first by fast and transparent credit decisions.

You will be part of Decision Modeling, a team consisting of 60+ employees working from our offices in Copenhagen and Vilnius. We are a team with a flat structure and informal atmosphere. We work in a high-paced environment with many stakeholders. Our focal point is to ensure high customer satisfaction in everything we do. Some of the key aspects that will take us there are automated decisions in the customer journeys by creating standardised processes and minimizing resources spent.

We work in a safe environment where everyones opinion is appreciated. Our team is characterized by high levels of collaboration, owning the tasks as a team, but we rely on you as an individual giving your best shot at the solution. says your future manager, Aurelija.

For us to grow, we need to have a good and professional team atmosphere which requires high integrity, good collaboration skills, good team spirit and positive mindset.

The workplace is located in Vilnius. Danske Bank supports workplace flexibility (we currently use a hybrid work model, where we work at least 3 days in the office).

*Depending on your experience and knowledge, we may offer you different seniority in the role.

You will:

  • Develop and maintain our existing end-to-end decision flows to increase automation, improve advisory and reduce credit risk
  • Make credit data analysis and profiling, ensuring the right data quality is in place
  • Handle and manipulate data, contributing to the automation of the customer journey
  • Collaborate with key stakeholders across customers, risk, credit, IT and business to capture the necessary business understanding
  • Be integrating into the application process by interconnecting IT and the customer journey

About you:

  • 2+ years of relevant experience
  • Degree in Computer Science, Data Engineering, Mathematics, Physics, Programming, Statistics, or other relevant fields
  • Experience of solving technical problems by using SQL and Python
  • Ability to embrace stakeholder management and collaborate with many different types of people communicating technical results in a non-technical and concise manner
  • Upper-intermediate English, both spoken and written with solid communication skills
  • Experience working with Object Oriented Programming in Python would be a bonus, if not, we expect an open mind and willingness to learn
  • Knowledge of working with Azure Dev Ops pipelines, Docker and/or OpenShift is a great advantage

We offer

Monthly salary range from 2640 EUR to 3960 EUR gross (based on your competencies relevant for the job).

Additionally, each Danske Bank employee receives employee benefits package which includes:

  • Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities.
  • Health & Well-being: a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.
  • Hybrid working conditions: home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience.
  • Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank.
  • Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution.
  • Additional days of vacation
  • Canteen services and free fruits
  • 24/7 gym services and group trainings
  • Health insurance from the first day of employment
Monthly gross salaryGross/mo  € 2640 - 3960

Location

    Vilnius, Vilniaus apskritis, Lithuania

Time of work

  • Full-time

Languages

  •  English
  •  Lithuanian
Contact person
Data Scientist for Decision Modeling
In Danske Bank Lithuania we gathered smart, innovative and open colleagues with can-do mindset, who are reimagining banking services and creating an ingenious product portfolio, and at the same time – ensure smooth daily operations of the entire Danske Bank Group.

Consider us as “the engine of the bank” – while we do not provide banking services to customers in Lithuania, we are the brain and muscle behind many of Danske Bank’s services to our global customers. Our high-quality delivery and can-do approach led us to becoming a strategic site for Danske Bank, an international community of 22,000+ colleagues worldwide.

Danske Bank Lithuania is Danske Bank’s strategic unit, providing finance, IT and global business services to serve our customers worldwide. We are on a journey to push the banking boundaries and make constant improvements in how we operate. We aim to do this by combining the best of two worlds: the strengths of what Danske Bank has built over 150 years and the approach of start-ups to what we are going to create in the future.

We see diversity as our potential, and the cornerstone of our company’s success, that will ensure our continued competitiveness and innovative strength.

We try to create an inclusive workplace where differences are our strengths and where people feel valued and can realise their full capabilities.

Because of that, the critical focus point for us is to be able to recruit, develop and retain employees without attaching any specific labels to them.



Company websitehttps://job.danskebank.lt/

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