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Data Scientist - Banking

NORRIQ

Brussel
Full-time
Salary not listedPosted 41m ago

Real job — pulled straight from NORRIQ’s careers page · Verified September 3, 2026 · No reposts.

Job description

NORRIQ is hiring a Data Scientist - Banking — a full-time, based in Brussel role. Apply directly on NORRIQ's careers page below.

Data Scientist – Financial Services

About NORRIQ

NORRIQ is an international organization headquartered in Denmark and Belgium, with over 350 consultants dedicated to driving business transformation through innovative technology.

Our Financial Services (FS) practice includes 100+ specialists helping banks and financial institutions adapt to evolving client expectations, leverage cutting-edge technologies, and navigate increasingly complex regulatory environments.

At NORRIQ, we believe that people are our greatest asset. We foster a culture of innovation, growth, and excellence, offering tailored training, clear career paths, and a strong sense of community. Join us on this exciting journey and become a valued member of the NORRIQ family — connected for life!

The Opportunity

NORRIQ Financial Services is looking for a Data Scientist to accelerate our data analytics, machine learning, and generative AI initiatives. You will work with leading financial institutions to design, build, and deliver data-driven and AI-powered solutions that create tangible business impact.

Roles & Responsibilities

Client-Facing Responsibilities

  • Design and implement machine learning and generative AI solutions for complex financial use cases.

  • Conduct exploratory data analysis and build insightful dashboards or visualizations.

  • Present analytical findings and actionable recommendations to senior management and stakeholders.

  • Collaborate with cross-functional teams (Data Engineers, Business Analysts, Developers) to industrialize AI solutions.

  • Provide technical guidance and advisory on data science and AI best practices.

Technical Responsibilities

  • Develop and maintain AI and ML models using Python, scikit-learn, and deep learning frameworks.

  • Apply a wide range of analytical methodologies, including:

    • Generative AI techniques (Prompt Engineering, RAG, Fine-tuning, Speech-to-Text, Agentic Applications, Image Generation & Interpretation)

    • Predictive AI and classical machine learning approaches.

  • Contribute to production-grade AI applications using tools such as GitLab, DVC, and MLOps frameworks.

  • Ensure reproducibility, version control, and performance optimization across models and pipelines.

  • Create and maintain Jupyter notebooks for experimentation and documentation.

Internal Contributions

  • Contribute to NORRIQ’s AI & Data Science Center of Excellence through knowledge sharing and internal projects.

  • Support proposal writing and solution architecture for client engagements.

  • Stay at the forefront of developments in data science, AI, and GenAI frameworks (LangChain, Haystack, etc.).


Our Data scientist must have : 

  • Fluency in English, and Dutch or French, with at least passive knowledge of the other

  • Belgian residency 

  • At least few years of experience in a similar role.

What NORRIQ Offers You:

  • Be part of a fast-growing, international organization with a unique and people-centered culture

  • Enjoy a highly competitive compensation package, including a company car, iPhone, and additional allowances

  • Access extensive training programs in Belgium and Denmark, focusing on both technical expertise and soft skills

  • Work with a dynamic and diverse team of experienced professionals and young talent in a collaborative environment within the financial services sector

    Join NORRIQ to elevate your career, contribute to transformative projects, and make a lasting impact in the financial services industry!

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Frequently asked questions

How do I apply for Data Scientist - Banking at NORRIQ?

You can view the full description and apply for Data Scientist - Banking at NORRIQ on EchoJobs: https://echojobs.io/job/norriq-data-scientist-banking-uccns.