Data Scientist for Decision Modeling

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Would you like to further develop your data analysis and modelling skills and use your expertise in an area with large impact for our business? Join the Decision Modeling team and become a Nordic frontrunner in automated credit decisions.

At Danske Bank, we are committed to be on the forefront of digital development in a pursuit to create the bank of the future. To do this, we need skilled professionals and highly motivated employees with a drive to innovate and a courage to challenge the way we do things.

Decision Modeling has a mission to disrupt traditional credit granting processes and put customers first by fast and transparent credit decisions. 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.

You will be part of Decision Modeling, a team consisting of 50 employees working from our offices in Copenhagen and Vilnius. We are a team with a flat structure and an informal atmosphere. We operate in a dynamic environment with many stakeholders. For us to reach out targets, we must cultivate a supportive and professional team atmosphere which requires high integrity, good collaboration skills, and team spirit.

You will work in a self-organised Agile Squad and Data AoE, which combines experienced domain expert knowledge and data skills to secure accurate and fast credit decisions to our customers. Your role will be a mix of a Data Scientist and a Data Engineer where we eliminate the boundaries between the two areas in order to decrease handovers and increase end-to-end ownership of tasks. With your analytical mindset, attentiveness for detail and sense for good data quality, you will contribute to continuously improving our customer solutions.

You will be located in Vilnius, Lithuania.

**Please be aware that due to the holiday season, interviews will start from July.

You will:

Be responsible for ensuring best practices of how to use data and analytics directly in credit decisions and contribute to the automation of the customer journeys
Collaborate closely with key stakeholders across risk, credit, AML, IT, and business in order to capture the necessary business understanding and secure the correct implementation of business requirements in the credit decision models
Work with data analysis and profiling, data handling and manipulation
Support data collection for credit decision flows and AML models
Prepare, test, and implement the production set-up
Ensure the right data quality in model inputs and outputs
Develop and maintain end-to-end flow for automatic credit decisions
Support customer journeys with efficient IT solutions

About you:

2+ years of relevant work experience in Data Science/Engineering
A degree in Computer Science, Data Engineering, Mathematics, Physics, Programming, Statistics, or other relevant fields
A strong interest and experience in data analysis and transformation
Experience working with data (SQL and Python)
Pro-activeness, creative problem-solving skills with the ability to self-organize and challenge ideas
Great collaboration skills and interest in learning and developing your skills
The ability to communicate technical results in a non-technical and concise manner
Upper-intermediate English, both spoken and written with solid communication skills

We offer:

Monthly salary range from 2680 EUR to 4020 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: Work from home up to two days a week; 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.