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hackajob

Senior Data Scientist

London
Posted about 17 hours ago
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hackajob is collaborating with Simply Business to connect them with exceptional professionals for this role.


Our Story - Continued Commitment to Doing the Right Thing

2005 seems like a long time ago. Simply Business - a small company with a big idea. To transform the way that other small businesses could get the insurance that they need. To reduce time, hassle and jargon wherever possible while introducing the simplicity, choice and value that small businesses are entitled to. To protect them from harm. To keep their livelihoods safe. And to do all this with the promise of positive service. Delivered by happy people, working flexibly, learning constantly. With a restlessly innovative spirit. Within a business committed to doing the right thing. All of the time.

As we’ve grown, we’ve tried hard to keep true to this. To ourselves, to our 800 strong team and to the 3.5m customers that we’ve served so far. And as we move forward, as we enter a big new market, as we grow responsibly, as we improve our products, as we offer our customers more of what they need, of what they deserve, we’ll hold onto the focus of that small company with the big idea. Protecting and serving businesses across the UK and the US. From barbers to bakers, consultants to cleaners, they are the backbone of the economy.

And we’ll continue to stand by them. Bit by bit helping their dreams grow, just like ours.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.


Why Do We Need This Role?

As a Staff Data Scientist you will be part of a team that is bringing AI and Data Science into the forefront of SB. We are looking to unify our technical vision and are looking for an experienced, technical but pragmatic Staff Data Scientist to enable our wider team to deliver value, quickly.


In This Role, You Will

  • Work closely with cross-functional development teams to build, test and maximise the value of a suite of models ranging use cases from LLM’s to propensity, classification and regression models
  • Contribute to End to end development and deployment of ML and AI models
  • Prove and deliver real value
  • Have the opportunity to work with stakeholders in a high-pace, agile environment which encourages autonomy and growth
  • Try an incredibly broad range of DS/AI techniques in a commercial environment

Responsibilities Include

  • Researching, advising, building, deploying and testing models from day one
  • Work as a bridge between the data science and MLOps departments to continue bring understanding and best practice deployment techniques into the Data Science team
  • Hands on big project ownership
  • Everyday modelling and Data Science projects with a large, event based data set
  • Opportunity to help to codevelop our AI strategy and continued leverage of GenAI for real value

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What Are We Looking For

  • 5+ years of experience as a Data Scientist/ML Engineer, working on classic ML and Data Science problems as well as Generative AI
  • Created multiple Data Science Products
  • Proven aptitude for working with experimenting tools - MLflow/DBX (A/B tests)
  • Proven deployment experience - MUST BE REALTIME
  • Extensive experience of Databricks/AWS/GCP for deployment
  • Strong Python experience

The Benefits

There’s all the serious (but important) stuff we call ‘core benefits” and a salary that reflects your experience, our pay policy and the market we’re in from your first day is a global approach. However, some of our “core benefits” differ from the UK to the US to keep us competitive.

These range from life cover, a cash plan and a stakeholder pension in the UK to medical, dental, vision, and prescription drug coverage, short and long term disability, life insurance coverage and participation in 401(k) plan with a 3% employer match in the US.


The Fun Stuff!

We are really proud of our culture at SB and that reflects in how our benefits roll. Flexible benefits and working, plenty of training to help you develop your career and loads of clubs to get involved in from trivia nights, guest speakers, and charity drives keep us all well connected. And, the great thing is being remote hasn’t stopped us one bit.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

Python
Machine Learning
Generative AI
Databricks
AWS
GCP
MLflow
DBX
Real-time Deployment
LLMs
Propensity Modeling
Classification Models
Regression Models
MLOps
A/B Testing

Location

London, England, United Kingdom

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