Data Science Consulting
Statistics and machine learning, applied where they genuinely pay off.
We help you work out where statistics and machine learning genuinely pay off, and where simpler answers will do. From framing the problem through to a model running in production, we stay focused on results you can measure against the decision you are trying to make.
What we offer
How we can help
The work we take on under data science consulting. Pick one piece or combine several.
Opportunity assessment
An honest look at where modelling could add value in your business — and where simpler methods will do.
Forecasting
Demand, sales, stock and cash-flow forecasts with stated uncertainty, not just a single line.
Customer models
Segmentation, churn risk and propensity models that tell you who to focus on.
Experiments
Designing and analysing tests so you know whether a change really made the difference.
Models in production
Taking a model from a notebook into a system your business uses every day.
Monitoring
Tracking model accuracy over time and retraining when the world changes.
The value
What you get out of it
Better-informed decisions
Forecasts and risk scores that feed directly into planning and day-to-day work.
Effort where it counts
Teams focus on the customers, products or risks most likely to matter.
Measured results
Every model is judged against the business decision it supports, not just a technical score.
No black boxes
We explain what drives each model's predictions, in plain language.
How we deliver
From first conversation to results
- 01
Frame
Define the decision, the data available, and what success looks like in business terms.
- 02
Baseline
Start with the simplest approach that could work, so every gain is measured against it.
- 03
Model
Build, validate and stress-test the model on data it has not seen.
- 04
Deploy and monitor
Put it into use, and keep checking that it still performs.
Is this for you?
A good fit if…
- You plan stock, staff or cash from gut feel and last year's numbers.
- You want to know which customers are likely to leave or buy again.
- You have a model that never made it out of a notebook.
- You want an independent view on whether machine learning is worth it for you.
Let's talk about your project
Tell us what you are trying to achieve. We will come back with an honest view of scope, approach, and whether we are the right fit.