Danske Bank
Experienced Data Scientist
Danske BankLithuania2 hours ago
Full-timeRemote FriendlyAnalyst, Finance
Job Description

Are you ready to shape the future of digital customer experiences? Would you like to leverage Generative AI and advanced data science techniques to develop innovative solutions that enhance customer engagement? Join us as an experienced Data Scientist and be part of a team contributing to meaningful organisational change while delivering AI-powered solutions. 

About us:

You will be joining our Corporate Channels team, who develop data-driven solutions that empower our customers through enhanced self-service and channel capabilities. Our mission is to align with Danske Bank’s goals of providing innovative, secure, and customer-centric solutions. 

You will work with dedicated and collaborative colleagues on a transformative journey. This is a unique opportunity to be part of an inclusive and supportive team, where your contributions can help shape the bank’s digital evolution.

About The Role 

In this key role, you will play a vital part of driving advanced data analysis and Generative AI solutions within our Channels and Self-Service cluster. You will contribute to the organisation’s vision by supporting AI-powered customer solutions and leading key technical initiatives. 

Your responsibilities will include: 

  • Collaborate with cross-functional teams to define and implement data science strategies for Generative AI initiatives within Corporate Channels, ensuring solutions are scalable, secure, and aligned with compliance requirements. 
  • Fine-tune and customise pre-trained Generative AI models to meet Danske Bank’s specific objectives, leveraging techniques such as embeddings, prompt engineering, and vector databases to optimise performance and usability. 
  • Partner with engineers and product teams to integrate Generative AI capabilities into existing systems, enabling innovative solutions with measurable business impact. 
  • Continuously assess and improve AI solutions by identifying biases, addressing data quality challenges, and refining model outputs to ensure accuracy, efficiency, and ethical compliance. 
  • Identify and mitigate risks, ensuring the delivery of accurate, efficient, and scalable data-driven solutions. 
  • Analyse complex datasets to uncover insights that inform business decisions and enhance customer experiences. 
  • Design and manage frameworks for experiment tracking, model evaluation, and governed model promotion using tools like MLflow, ensuring robust test sets and benchmarks across Generative AI and classical ML use cases. 
  • Stay up to date with emerging technologies, trends, and best practices in Generative AI, machine learning, and data science, driving innovation across the organisation. 

Who are we looking for? 

We are looking for an experienced, forward-thinking and collaborative Senior Data Scientist with a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, and at least 7–8 years of experience in data science, machine learning, and AI solution development. Demonstrated success in creating innovative AI-driven solutions within intricate organisational structures is essential. 

Your qualifications include: 

  • Expertise in Generative AI, with knowledge of machine learning, deep learning, and data modelling techniques.  Familiarity  with natural language processing (NLP) is preferred. 
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform, including AI/ML tools and services. 
  • Knowledge of Generative AI technologies, including GenAI model APIs, embeddings, vector databases, and prompt engineering techniques. Familiarity with agentic systems would be valuable. 
  • Strong programming skills in Python, R, or similar languages, with experience using libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. 
  • Proficiency in data visualisation tools and techniques to communicate insights effectively to stakeholders. 

Additional experience in the following areas will be helpful: 

  • Designing and implementing large-scale AI/ML systems in regulated industries. 
  • Building relationships in the AI/ML community and representing organisations in external forums or conferences. 
  • Developing and deploying AI-based co-pilot or chat systems. 

"This is a unique opportunity to utilize the capabilities of Generative AI and advanced data science techniques to transform how we deliver customer value across channels and self-service platforms", says Sadi Kaya, Cluster Lead in Channels and Self-Service. 

We offer:

Monthly salary range from 5040 EUR to 7560 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 job function (position) in the job contract will be Data Scientist, Principal. From 1 April 2026 it will be renamed to Data Science under our new job architecture, with no impact on the role or responsibilities.

Does this sound like the next step in your career? 

Apply now! We review applications as they are received, so we encourage you to submit your application sooner rather than later. If you have any questions about the role, please contact Commercialisation Program Lead, Sabrina Yeo, via LinkedIn or Chapter Lead, Daniel Aakjær Andersen, via LinkedIn.  

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