Senior Data Scientist in Group Risk Analytics (Maternity Cover)

Are you excited for data and data science? Do you take pride in your data assets and the data-driven decisions and insights they generate? Then come join our team of Data Scientists in Danske Bank!

Our team of 40+ that works with other teams across the bank to understand the bank’s data value chain. To support our unique functions and regulatory needs, our team stores, curates, and exposes big data. This enables us to master the end-to-end journey of our big data, as well as our modelling and analytic products. As a Data Scientist, you will be working on the top-priority project, which introduces a remediation approach related to the Bank’s debt collection and hence has a massive impact on Danske’s risk management.

You will be joining an international team located between Copenhagen and Vilnius. Therefore, solid English skills are a necessity for this role.

Don’t you meet every single requirement? At Danske Bank, we are committed to building a diverse, inclusive, and authentic workplace and a healthy environment to develop in, so if you are excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Join a vibrant team at Danske Bank's. You will experience a culture that embraces Danske Bank's Culture Commitments: Be Open, Team Up, and Own It. Additionally, you will enjoy an attractive salary package, flexible work arrangements, and extensive professional development opportunities.

Please note that this is a fixed-term contract for maternity cover. Danske Bank supports a high degree of workplace flexibility (our team is currently using a hybrid working model, where we work at least 3 days a week in the office.).

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

"Everyone is welcome – bring your authentic and full self to work."

You will:

• Work with data analysis and development of deterministic models for our debt collection remediation solutions
• Integrate, explore, and aggregate the data. This includes data cleaning, data massage, error removal, and schema change
• Attend and contribute to strategy alignment meetings across different teams
• Dive deep into complex data issues using SQL and Python, performing investigative and risk analysis
• Utilize git for version control to systematically develop, update, and maintain data models
• Create detailed documentation and develop presentations to communicate technical concepts clearly and effectively. Your ability to articulate complex data insights verbally, in writing, and visually should be advanced

About you:

• Higher education within mathematics, computer science, engineering, statistics, physics, or similar
• 3+ years of relevant experience in data analytics or engineering field
• Experience in handling large amounts of data and fluency in Python, R, SQL, PySpark, etc.
• Have an analytical mindset and a fact-based approach
• Hands-on with git and coding best practices
• A curious individual with great problem-solving skills and the ability to keep result-oriented holistic view
• Upper-Intermediate English skills

We offer:
This position can be located both in Lithuania and Denmark. If you are hired in Lithuania, the applicable salary range will be from 3280 to 4920 EUR monthly (based on your competencies relevant for the job).

Additionally, each Danske Bank employee receives employee benefits package (benefits are only valid for Lithuania the same as the salary ranges) 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.

See all the benefits HERE.
Your title in job contract will be Data Scientist, Senior.

If you're interested in this role and joining my team, feel free to contact me:
Loreta Dailidonė
[email protected]

#DK

Placering
Vilnius, Lithuania

Arbejdsadresser
Saltoniskiu str. 7B LT-08105 Vilnius