Senior Data Scientist, Finance

Job Description

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 and shape the future of finance!
 

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

Core Responsibilities
As a Senior Data Scientist, you will be instrumental in developing advanced analytics models to address complex financial challenges. Your responsibilities will include:

• 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.

Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible.

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