Senior Data Scientist in 1st Line FC ML Team

Do you want to be a part of shaping the future of machine learning at one of the largest financial institutions in Northern Europe?

Now you have that opportunity – to become part of the Machine Learning team of Danske Bank’s 1st Line Financial Crime organisation. Our team is responsible for fraud detection machine learning models scoring transactions in real-time and investigating ideas for creating machine learning models for other use cases in the department.

We are looking for a Data Scientist to enhance the team, which is comprised of 2 experts and located in Lithuania. Python is the primary language, and most applications are coded in Python.

You will be involved in the ongoing and new projects related to various areas: Fraud, Transaction Monitoring, Sanctions Screening, etc.

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

About it:

• Create new and maintain already running machine learning models with Python
• Collaborate closely with Data Engineers responsible for the machine learning platform and with various Analysts from different relevant teams
• Work on developing a machine learning model on a new platform in AWS to detect fraud in business customer transactions
• Explore new ideas and create Proof of Concepts to optimise decision making in different areas in 1st Line Financial Crime

About you:

• 2+ year of experience in an analytical or Data Scientist role
• Ability to analyse large and complex datasets
• Proficiency in Python and the commonly used machine learning packages (pandas, scikit-learn, pyspark, XGBoost, …)
• Knowledge in SQL and previous experience working with classification problems are beneficial
• Comprehensive analytical and problem-solving skills
• Open-mindedness, with a willingness to consider new ideas and perspectives
• Take ownership of your projects by seeking ways to find the best ideas and deliver great outcomes.
• Advanced skills in spoken and written English

We truly encourage applications from motivated candidates with partially overlapping backgrounds.

“We know through experience that different ideas, perspectives, and backgrounds create a stronger and more creative work environment that delivers better results.”

We offer:

Monthly salary range from 3280 EUR to 4920 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.

See all the benefits HERE.

Your title in job contract will be Data Scientist, Senior.

We are looking for a new, passionate colleague to help enrich our machine learning team. Do contact me – Tautvydas Zikas via LinkedIn to hear more!

#LI-DBLT

Danske Bank is a Nordic bank with bridges to the world around us. For 150 years, we have supported people and businesses in releasing their potential. A career with us is an opportunity to join a community of 22,000 colleagues in a culture where we are committed to Teaming Up, Owning It and Being Open. Together, we are on a journey to transform Danske Bank into a better bank. For our customers, our employees and the societies around us.