Senior Data Scientist in BI Data Engineering team

Danske Bank Lithuania

Skelbimas
Atlygis/Miestas
Apie įmonę

Description

Data & Analytics is one of the central enablers identified as a priority by Danske Banks Executive Leadership Team with significant mandate and support.

We invite you to be a part of the collaborative Global Insights department, an integral component of our Group Data and Analytics organization. Renowned as the Business Intelligence powerhouse, our core aspiration and strategic objective is to unlock value from cutting-edge data reporting and visualization solutions on a grand scale.

Our mission is to deliver impactful insights and advanced digital reporting solutions in a timely manner and using analytics to set new standards in the bank for how to use data. Were the backbone for teams and organisational units across the Bank, providing crucial process performance analytics and managerial information.

Our department in the Data & Analytics function works with each of the businesses to enable the adoption of data and utilize analytics to enhance our products and services to our clients.

Join us in our journey to revolutionize the way we understand data. Together, we can take Danske Bank forward.

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

You will

Identify opportunities for AI within strategic projects, with a focus on how to optimize our manual services
Drive prototypes of how solutions can be made to a point where the rest of the organisation can decide how to take them forward
Work closely with stakeholders to understand their needs and, in many ways work as a front runner and internal consultant
Collaborate with the Global Insights team, which can help you with data access and insights, and which you can help with your knowledge of how AI/ML can improve the value of what the team does

About you

You could have either a strong statistical/ML professional experience or alternatively you are strong in Python with a keen interest in moving to analytics area. Ideally both. Below is a list of all the competencies that we to a varying extent are looking for:

Programming knowledge: Proficiency in Python programming
Statistical Analysis: A good understanding of statistics is essential
Familiarity with machine learning techniques from the real world
Data Visualization: Ability to visualize data in a manner that is understandable to non-technical stakeholders
Data Wrangling: The ability to map raw data and convert it into another format that allows for more convenient consumption of the data
Database Systems: some experience in SQL
Communication and social skills: Ability to communicate complex data in a clear, concise manner to non-technical stakeholders
Upper-Intermediate English skills

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: 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.

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

Please, contact if you have any questions Leader of Team Gert Laursen via email gelau@danskebank.dk.

Mėnesinis bruto atlyginimasBruto/mėn. € 3280 - 4920

Vietovė

Lietuva

Laikas

Visa darbo diena

Kalbos

Anglų

Kontaktinis asmuo
Gert Laursen

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 Banks 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 Banks 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 companys 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.