Lorien
Lead Data Scientist

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Lead Data Scientist - MBB Consultancy experience highly desirable
12 month contract
London/Dublin - hybrid
Please note that this role will also require travel to Barcelona.
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
To apply for this position please submit your CV.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location