Vetted on a call by a Wave consultant, not scraped. £80,000 to £110,000.
Pricing and personalisation at a large UK telecoms operator, owned end to end from problem formulation through deployment and A/B testing. The number that matters is 6 to 7 million pounds of incremental revenue attributed to the work. Python, SQL, dbt, GCP and Vertex AI, with causal inference and Bayesian methods underneath rather than bolted on afterwards.
Looking forLeaving because the data science team spends its time justifying projects and then watching them get pulled when another team jumps the queue. Wants accountability, equity upside, and an employer where data actually drives the decision.
How they came acrossCommunication rated 10 out of 10 and mathematically careful with it. Notably keen to be in an office with people, which is worth knowing given how many aren't.
Python, SQL, dbt, Bash · GCP, Vertex AI, BigQuery, Looker · Causal inference, Bayesian analysis, A/B testing · MLOps
4 employers across 11 years, from market risk at a bank and an insurance broker, through an AI consultancy fellowship, to 4 years at a large UK telecoms operator. Average tenure 2 years.
No marketplace experience on the CV, and they want to be in an office, so a fully remote team is the wrong home.
Masters in Data and Computational Science, plus the CFA charter.
Two things here. The core pricing model at a fleet and courier insurer, built, rebuilt, deployed and presented back to the business by them. And agentic LLM systems in production, including MCP servers that query customer transcript data, on LangGraph and Bedrock. Python, SQL, AWS, Snowflake, dbt, with GLM and GBM work underneath the pricing.
Looking forThe startup was bought by a large insurer a month ago and the equity upside went with it, so the reason to stay has gone even with a promotion to Lead due in October. Wants a very early-stage AI or ML company, or a fast scaleup, with blank-sheet R&D work and a domain of their own.
How they came acrossHas turned down better-paid roles because the company wasn't right, and said so without making it sound like a virtue. Communication rated 10 out of 10, and unusually reflective about how they make decisions.
Python, SQL · AWS, Bedrock, LangGraph, Snowflake, Athena, dbt · GLM, GBM, feature engineering · Agentic LLM systems, RAG
6 employers in 10 years, from an NLP research role and a digital health startup through a consultancy R&D team, now 3 and a half years at a fleet insurer since acquired by a large insurance group. The 10 month average tenure on the record undercounts that current run.
3 months notice, a promotion to Lead lands in October taking base to 90 to 95, and equity matters more to them than base, so a cash-only offer will struggle.
Masters in Electrical and Electronic Engineering, a Russell Group university.
Generalist data scientist doing manufacturing ML, roughly 70% of it for a top-tier motorsport client, covering computer vision, audio analysis and predictive maintenance. Python and R day to day with R Shiny for delivery, across Azure, AWS and GCP depending on the job. Anomaly detection, simulation and network modelling from earlier roles, and picks up unfamiliar domains quickly, which the breadth of the CV backs up.
Looking forMoving for reasons they were straightforward about. The role has drifted into engineering, the salary was set for outside London, and fully remote has left them isolated. Wants core data science work and 2 to 3 days a week with people.
How they came acrossCommunication rated 10 out of 10. Comfortable with things not working as part of the process, which is the right temperament for research-flavoured work, and has done a lot of client-facing delivery.
Python, R, R Shiny, SQL · Azure, AWS, GCP · Computer vision, anomaly detection, NLP · Time series forecasting, Linux
8 employers across 13 years, starting with internships and a graduate training scheme, then a retail bank, an engineering consultancy and a research analytics business, now 3 years at a manufacturing data science consultancy. Average tenure 11 months.
Won't take a fully remote job and won't take one that slides back into engineering work, and the 87,500 is a correction on having been paid at outside-London rates.
Masters in Data Analytics.
Tell me which came closest and I recalibrate, then come back with 10 to 15 more inside 24 hours.
Show me the wider bank