Learn why successful companies embrace the liquid workforce
Data scientists

Hire data scientists who turn your data into answers your business can use

Pre-vetted data scientists and data analysts who join your team and work to your standards. Nearshore on UK hours or onshore. Daily or hourly rates, no minimum term.

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What a data scientist does

A data scientist uses statistics, programming and domain knowledge to answer questions with data, from why customers leave to what demand will look like next quarter.

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On a delivery team, a data scientist typically:

  • explores and cleans data to understand what it can and can’t show
  • builds statistical and machine learning models for forecasting, pricing or risk
  • designs experiments, such as A/B tests, and measures their results
  • works in Python, R and SQL, alongside your BI and data tools
  • explains findings clearly to people who don’t work with data

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A data analyst works closer to reporting and dashboards. A data scientist builds models and runs deeper analysis. For pipelines and data platforms, see our data engineers. For AI features inside your product, see our AI engineers.

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When to bring in data scientists

Data scientists make the difference when you have the data but nobody has the time or skills to get answers from it.

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Your data specialists don’t fit the blended rate
A programme needs data scientists, and your own are too expensive for its blended rate, so the scope is heading back to the client.
You need a forecasting or pricing model
Spreadsheets have reached their limit, and the decisions riding on them are getting bigger.
A programme needs analysts working alongside the client
The start date is set, and the client wants people on site or onshore.
A client wants analytics in your product
They’re asking for insight, not just data, and your team builds features.
Your new data platform is ready
The migration is done, and now the business wants to use it.

Data scientist profiles

Data science work varies with the question and the data. These are some of the profiles we supply:

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  • Data scientist. Builds models and runs analysis that answers specific business questions.
  • Data analyst. Turns data into reports, dashboards and clear findings for the people who need them.
  • Analytics engineer. Models data in the warehouse so analysts and data scientists can trust and reuse it.
  • Data science lead. Sets the approach and standards, reviews work and leads a small group of analysts and data scientists.

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If you need a different mix, tell us what the work involves and we’ll match profiles to it.

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How teams use data scientists

One data scientist or analyst, or a whole data team, for as long as the work runs. You can start part-time, for example three days a week moving to five, and scale down with two weeks notice.

Where our data scientists work from

Client-facing analysts and data scientists can work onshore in the UK, on the client’s site where needed, including where data has to stay in the UK. Analysis work behind them can sit nearshore in Central and Eastern Europe on UK hours. For US work, data scientists in LATAM work US hours.

The Brightbox Approach

How we provide the best on-demand skills and teams

Define your need

We capture your project goals, tech stack, delivery context, team structure and required outcomes.

AI powered matching

Our platform analyses thousands of profiles to shortlist pre-vetted talent with the right skills, experience and availability.

Human interview

Human interviews with recorded assessments validate technical depth, approach to problem solving and cultural fit.

Technical tests and challenges

We use real world tasks and scenario based assessments aligned to your environment, so you see how candidates perform.

Final client interviews

You interview and select the Brightbox Associates who best meet your needs, supported by clear evaluation data.

Onboarding

We onboard the experts or teams quickly and smoothly, aligning tools, communication channels and ways of working.

Rapid placement

Engineers are deployed within days, not months, so your projects and products keep moving.

Continuous alignment

We run regular performance reviews and check-ins to ensure quality, fit and speed throughout the engagement.

How it works

When you hire data scientists through Brightbox, they join your team as associates. They work under your brand and your direction, and we handle the rest.

Daily or hourly rates

Time and materials, billed on time you’ve signed off.

One person or a team

No minimum headcount.

No minimum term

Two weeks notice to scale down, either way.

Deployed in days

Not the months a permanent hire takes.

Replacement cover

If someone isn’t the right fit, we replace them and carry our cost during the handover.

You own the IP

Everything they build is yours.

Governance

A management layer around every engagement, so you’re not the one carrying a bad fit.

Your clients stay yours

Our people work under your brand, and we never approach your clients.

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Why choose Brightbox

The Brightbox advantage

01
Instant access to global talent

Profiles against your brief, usually within a day.

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AI-driven precision

We’re investing in technology to keep improving how quickly and accurately we match people to your brief.

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03
Outcome first delivery

Each engagement starts from the questions you need answered, and by when.

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04
Flexible engagement models

One data scientist or a whole data team, scaled up or down with two weeks notice.

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Trusted by leading organisations

Product companies, consultancies and systems integrators use Brightbox to add delivery capacity when the work lands.

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FAQs
Data scientists
How much does it cost to hire a data scientist through Brightbox?

Data scientists are on daily or hourly rates, which depend on seniority, specialism and where they work from. Ask and we’ll send a rate card, usually within hours.

How do I hire a data scientist?

Start with the question you want answered, the data you have and the tools your team uses. Tell us those, and we’ll match data scientists with the right experience, vetted through technical tests and interviews. You choose who joins your team.

How quickly can a data scientist start?

Usually within days, rather than the months a permanent hire takes.

Data scientist, data analyst, data engineer or AI engineer: which do I need?

A data analyst turns data into reports and findings. A data scientist builds models and runs deeper analysis. A data engineer builds the pipelines and platforms that make data available. An AI engineer builds product features that use AI models. If you’re not sure, tell us what you’re trying to answer and we’ll suggest the right profile.

Do your data scientists work with Python, R, SQL and our BI tools?

Yes. Tell us your tools and we’ll match data scientists with experience in them.

Can you run a data science project for us?

Not as a project we run on our own. We supply data scientists who join your team and work under your direction, so you keep control of the data and the findings. If you need someone to own a project from start to finish, we can introduce a proven delivery partner from our network who takes on that responsibility.

Can they work with sensitive or regulated data?

Yes. They work within your data protection policies and access controls. Where data has to stay in the UK, we supply onshore associates. Tell us your requirements at the start.

Can a data scientist work remotely?

Yes. Most work remotely, nearshore in Central and Eastern Europe on UK hours, so they’re online when your team is. Where a client needs people on site or data must stay in the UK, they can work onshore.

Can we hire data scientists for just a few months?

Yes. There’s no minimum term, and you can scale down with two weeks notice. Engagements shorter than about six weeks rarely work, because onboarding takes too much of the time.

Who owns the models and analysis?

You do. Everything they produce, including code, models and analysis, is yours.

How do you handle IR35?

We’ve worked both inside and outside IR35, and we work with a partner to help with status determinations when needed.

Need data scientists or analysts on your team?

Send us a short brief. We’ll come back with profiles and rates, usually within a day.