Bob Pepin · Independent Data Science Consultant

Data Science & Quantitative Modelling

I work independently with organisations on technically demanding data-science problems, from early scoping and solution design through implementation and integration with existing systems.

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How I can help

Some data-science projects are straightforward to implement. Others require more judgement: deciding what should be built, testing whether the approach is reliable, and making it work within the systems already in place.

This is often where I come in: clarifying the problem, challenging the technical approach, and carrying the solution through to implementation and integration.

Case study

Managing risk in fixed-price electricity contracts

An energy company needed to decide how much electricity to buy in advance and how to price its fixed-price offers. I built a scenario model and a working tool connecting electricity prices, customer choices and consumption, so it could compare hedging decisions and estimate the risk remaining in its offers.

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Ways of working

Own the problem end to end

I can take a data-science problem from scoping and solution design through implementation, integration and handover.

Add specialist capacity

I can work alongside an existing team on the parts that need deeper technical attention, whether that means reviewing the approach, solving a specific problem, or carrying a focused workstream through to delivery.

Independent by design

You work directly with the person doing the technical work, without a separate sales or delivery layer.

Technical background & credentials

PhD in stochastic analysis, with experience across machine learning, quantitative modelling, energy markets and senior data-science consulting.

Modelling

Forecasting, optimisation, simulation and model validation, with particular strength in problems involving uncertainty and complex system behaviour.

Machine learning & AI

Applied machine learning, deep learning and decision systems, from model development through evaluation and production integration.

Engineering

Python, C++, cloud platforms and production data/ML systems, with experience integrating technical solutions into existing environments.

Have a data-science problem to discuss?

If you are still working out the right approach, need someone to take ownership of the work, or want additional technical depth on an existing project, get in touch.

Discuss your project