Senior Data Scientist, Finance

Senior Data Scientist, Finance at The LEGO Group

Drive impactful financial outcomes through data science and become a key enabler of data-driven decision-making at The LEGO Group. In this role, you will be in the CFO organization’s Advanced Analytics team, integrating insights into strategic decisions. Join us as a Senior Data Scientist, Finance and shape the future of finance!

Please note: This role is at Manager level, individual contributor and we do not support relocation.

Core Responsibilities

• Collaborating with CFO stakeholders to turn business pain points into applied advanced analytics opportunities – from initial assessment through to shaping delivery plans and assisting with solution adoption.
• Engineering model features from governed, production-ready data using scalable tooling (e.g. PySpark), enforcing quality checks, lineage, and reproducibility.
• Building, validating, and deploying statistical and machine learning models, and integrating solutions into production workflows.
• Supporting iterative delivery from proof-of-concept through production hardening, scaling, and establishing monitoring and maintenance routines.
• Designing, documenting, and managing the analytical data products created through applied data science solutions (leveraging ML and AI), ensuring they remain trusted, discoverable, and reusable across initiatives.
• Collaborating closely with data engineers and analytics peers to prioritize enhancements, embed monitoring and retraining safeguards, and maintain operational resilience throughout the solution lifecycle.

Play your part in our team succeeding

You will join the Corporate Finance, Systems, Analytics, and Insights team, responsible for the accuracy and quality of all data across the Finance organization, while driving our agenda to be more digital and data-driven. We are committed to using data and AI to bring value for the CFO organization. This is a highly visible role within the team and central to driving our transformation to becoming data-driven and elevating our decisions with advanced analytics across the CFO organization.

Do you have what it takes?

We are seeking a motivated Data Scientist who thrives at the intersection of analytical modelling and data engineering. The ideal candidate brings several years of experience spanning data science and data engineering, ideally supported by a master's degree in a quantitative discipline. You will bring:

• Solid grounding in core data science mathematics (statistics, probability, optimization) applied routinely to complex datasets.
• Practical exposure to data engineering concepts, including schema design, Delta Lake or equivalent lake house architectures, and governed data catalogues.
• Experience orchestrating workflows on platforms such as Databricks, leveraging Spark for large-scale feature preparation and automation.
• Proven use of software engineering discipline for data science (e.g. modular code design, testing, etc.) when building notebooks and production-ready codebases.
• Professional experience in Python, including proficiency with data manipulation libraries and comfort working with Git-based version control.
• Hands-on knowledge of machine learning frameworks (e.g. scikit-learn, XGBoost, TensorFlow, PyTorch) and familiarity with MLOps practices including model registries, CI/CD pipelines, and infrastructure-as-code principles.
• Strong communication skills to articulate assumptions, trade-offs, and model performance to both technical and non-technical stakeholders.

Nice to Have:

• Finance domain experience, ideally covering FP&A, finance partnering, or insights and analytics teams.
• Familiarity with GenAI-enriched analytics products, including prompt engineering or retrieval-augmented generation patterns.
• Exposure to feature stores and vector databases.

What’s in it for you?

Here is what you can expect:

• Family Care Leave - We offer enhanced paid leave options for those important times.
• Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.
• Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity.
• Colleague Discount – We know you'll love to build, so from day 1 you will qualify for our generous colleague discount.
• Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme.
• Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process.

Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at The LEGO Group, where everyone feels safe, valued and they belong.

The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team.

The LEGO Group is fully committed to Children’s Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.

Thank you for sharing our global commitment to Children’s Rights. Just imagine building your dream career. Then make it real. Join the LEGO® team today.

Key skills/competency

• Data Science
• Machine Learning
• Financial Modeling
• PySpark
• Python
• MLOps
• Data Engineering
• Statistical Analysis
• AI Solutions
• Stakeholder Collaboration