Career coaching · London
You can build models. But the UK market looks for business impact. Here is how to show it.
A strong maths foundation, but no sense of how to sell it to the business
Kaggle medals and course projects — but no production experience
Unclear on the difference between Data Scientist, ML Engineer and Analytics Engineer in the UK
Weak SQL — which often blocks candidates at the technical screen
Not knowing which UK sectors pay more: fintech, pharma, retail, consulting
Moving from academia to industry with no idea where to start
Python and SQL — both essential
Statistics and ML: regression, classification, clustering, A/B tests
Visualising and communicating insights: Matplotlib, Seaborn, Tableau, Power BI
Business metrics — linking a model to a business outcome
GitHub projects — with the problem, approach and result described
Experience with real, messy data — not only clean datasets
Classic modelling is increasingly combined with LLM work. What strengthens a data scientist’s profile now:
Junior
£35–50k
Middle
£55–75k
Senior
£80–110k+
Fintech, pharma and consulting (McKinsey, BCG) pay premium rates
I work with data scientists — helping you move from academia into industry and position yourself well in the UK market. Sessions in English or Russian.