Lead Product Data Scientist - MBB Consultancy experience highly desirable

6 month contact - hybrid

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About the Role

We are looking for a talented Data Scientist to join a growing product team developing advanced decision-support software that helps optimise complex operational environments.

Working as part of a cross-functional product squad, you will design, build and industrialise machine learning and optimisation solutions that drive real-world business outcomes. This is an exciting opportunity for someone who enjoys solving complex problems, building production-grade data science solutions and working closely with software engineers, product managers and business stakeholders.

What You'll Be Doing

As a Data Scientist, you will be involved throughout the product lifecycle, from identifying opportunities through to delivering robust, production-ready solutions.

Responsibilities include:

- Understanding business challenges and identifying opportunities where data science and optimisation can improve decision-making.
- Conducting analytical investigations and data visualisation to uncover insights and evaluate potential solutions.
- Developing and validating machine learning and optimisation models in Python.
- Building scalable, production-ready features using software engineering best practices.
- Creating automated and resilient data processing and data quality pipelines.
- Integrating models into orchestration frameworks and cloud-based deployment environments.
- Implementing testing, monitoring, logging and error-handling capabilities to ensure reliability.




- Working closely with stakeholders to gather requirements, demonstrate value and support product adoption.
- Contributing to product roadmap discussions and helping balance short-term delivery with long-term product value.
- Collaborating within an Agile development environment, including code reviews, documentation and continuous improvement activities.

Essential Skills & Experience

- Strong expertise in machine learning, optimisation, operational research, or a combination of these disciplines.
- Proficiency in Python and common data science libraries such as pandas, NumPy and scikit-learn.
- Experience applying analytical techniques to solve real-world business problems.
- Strong SQL and data engineering capabilities.
- Experience working with cloud platforms, ideally AWS.
- Familiarity with Git version control and software development best practices.
- Experience writing and maintaining automated tests.
- Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Strong problem-solving, prioritisation and stakeholder management skills.

Desirable Experience

- Exposure to optimisation tools such as Gurobi.
- Experience with ML lifecycle and MLOps tooling such as MLflow, SageMaker or DVC.
- Knowledge of workflow orchestration platforms such as Airflow or Dagster.
- Experience with CI/CD pipelines, containerisation and cloud-native deployments.
- Experience working on operational, transportation, logistics, network or optimisation-related challenges.
- Experience developing production-scale machine learning or optimisation products. xqysrnh

Please note that this role can also be based in the UK/Dublin with travel to Barcelona.

📌 Lead product data scientist (Barcelona)
🏢 Lorien
📍 Barcelona