Small by design.
Serious by necessity.
Evolution Media was built around a simple idea: most analytics work fails not because of poor data, but because of poor questions. We exist to ask better ones.
How we came to work this way.
Evolution Media was founded by practitioners who had spent years inside large analytics teams and enterprise consulting firms — and who had seen, repeatedly, what happens when data work is treated as a commodity: oversold, underdelivered, and quietly ignored.
The pattern was always the same. A big engagement would land, a slide deck would promise transformation, and a team of generalists would build something impressive-looking that no one could maintain or, often, even use. The model was optimised for billing hours, not for changing decisions.
So we started with a deliberate constraint: we would only take on work we could do exceptionally well, with clients whose problems were genuinely interesting and whose leadership was genuinely committed to using data. We would staff every engagement with senior people, measure ourselves on outcomes, and leave each client more capable than we found them.
That constraint hasn't changed. Today we work across industries — from financial services to healthcare to retail — but always with the same operating principle: the quality of the question determines the quality of the answer.
Principles we don't negotiate on.
Clarity over complexity
We resist the temptation to impress with technique. The right solution is usually the simplest one that solves the actual problem — and the one your team can still run next year.
Honesty before comfort
We tell clients when the data doesn't support the conclusion they were hoping for. That's worth more than a polished story built on shaky foundations.
Built to be handed over
Every system we build is designed to be maintained by your team after we leave. We document thoroughly, train properly, and refuse to build dependency.
Selectivity over volume
We turn down more work than we accept. That lets us go deep on the engagements we do take — and it means every client gets our full attention.
Outcomes, not outputs
We measure success by business impact, not dashboards delivered or models trained. If it doesn't change how a decision gets made, it doesn't count.
Precision in everything
From scoping conversations to final deliverables, we aim for precision — in language, in method, in communication. Vagueness is expensive in analytics.
What it's like to work with us.
The structure of an engagement flexes to the problem. The way we conduct ourselves does not.
We agree the decision, the measure of success, and the boundaries before any work begins. No scope creep, no surprises.
The people who scope the work are the people who do it. No bait-and-switch to junior resources after the sale.
You see progress weekly, in plain language. We share uncertainty as readily as results — surprises are the enemy.
We finish by transferring ownership: documentation, training, and a team equipped to run the work without us.
Senior practitioners, not junior consultants.
Every engagement is led and delivered by people who have built and run data teams — not people who have read about it. Our backgrounds span statistics, software engineering, and years of client-facing work where data meets strategy.
Fifteen years building and running analytics functions inside enterprises and consulting firms. Leads framing and keeps every engagement pointed at a real decision.
A statistics and applied-ML background with a bias for production. Specialises in forecasting, risk, and propensity models that survive contact with the real world.
A software engineer who fell for data platforms. Builds the tested, version-controlled foundations that make everything downstream trustworthy.
Turns analysis into decisions people act on. Deep experience designing executive dashboards in healthcare and financial services.