Lead Product Data Scientist - MBB Consultancy experience highly desirable A continuación, encontrará un desglose completo de todo lo que se requiere de los posibles candidatos, así como la forma de presentar su candidatura. ¡6 month contact - hybrid 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.

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

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. Strong problem-solving, prioritisation and stakeholder management skills. 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.

📌 Lead Data Scientist and Machine Learning Lead (Cataluña)
🏢 Lorien
📍 Cataluña