Lead Product Data Scientist

Lorien; Greater London; Hybrid; GBP 166,000 - 203,000; Full time

Job summary

Lorien is seeking a Lead Product Data Scientist to join a growing product team developing advanced decision‑support software. The 6 month hybrid role focuses on production‑grade data science and optimisation solutions that drive real‑world outcomes.

You will work with software engineers, product managers and business stakeholders to deliver end‑to‑end data science features, integrate models, and ensure reliability in a cross‑functional Agile environment.

Qualifications

• 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.
• Excellent communication skills with the ability to explain complex technical concepts.

Responsibilities

• Understand business challenges and identify opportunities where data science and optimisation can improve decision‑making.
• Conduct analytical investigations and data visualisation to uncover insights and evaluate potential solutions.
• Develop and validate machine learning and optimisation models in Python.
• Build scalable, production‑ready features using software engineering best practices.
• Create automated data processing and data quality pipelines.
• Integrate models into orchestration frameworks and cloud‑based deployment environments.
• Implement testing, monitoring, logging and error‑handling for reliability.
• Work with stakeholders to gather requirements and demonstrate value.

Skills

Machine learning

Optimization

Operational research

Python

SQL

AWS

Git

Automated tests

Tools

Pandas

NumPy

scikit-learn

Job description

Lead Product Data Scientist - MBB Consultancy exp highly desirable

6 month contact - hybrid

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 life cycle, 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.

What We’re Looking For

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.

Please note that this role will require travel to Barcelona.