Harnham
Lead Data Scientist

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Lead Data Scientist
Location: London (hybrid, 1 day in office every 2 weeks) Salary: £70,000–£90,000
About the Company
They are a London-based advertising technology business specialising in advertising and media analytics, supporting agencies in understanding and optimising campaign performance. Since launching recently, they have grown into a collaborative team of around 50, combining expertise across:
- Data science
- Engineering
- Digital media
Their SaaS platform integrates with major advertising ecosystems, leveraging large-scale datasets to drive smarter decision-making for clients.
About the Role
The Lead Data Scientist will be the technical authority for data science, shaping advanced machine learning solutions with direct impact on digital campaign performance.
Key Responsibilities
- Lead the development of optimisation and predictive models for digital advertising campaigns
- Design and refine bidding algorithms within auction-based environments
- Build prototypes in Python
- Partner with engineering to productionise models in Kotlin within AWS
- Work with large-scale datasets from advertising platforms and external data sources
- Act as the subject matter expert for data science, supporting:
- Model improvement
- Troubleshooting
- Collaborate closely with:
- Data engineering teams
- Product teams
- To deliver scalable solutions
- Translate complex data outputs into clear insights for stakeholders
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.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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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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.
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.
Only hits
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Requirements & Skills
Essential Experience
- Strong commercial experience developing machine learning and statistical models
- Proven ability to take models from prototype through to production environments
- High proficiency in Python and experience with:
- Machine learning frameworks
- Comfortable working with:
- Large, complex datasets
- Feature engineering techniques
- Understanding of:
- Auction-based modelling
- Pricing optimisation or bidding systems
- Exposure to production environments and a willingness to work with Kotlin


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Advantageous
- Background in:
- AdTech
- Marketing analytics
- Similar data-rich domains
- Experience with distributed data processing tools, such as PySpark
What They Offer
- Salary: £70,000–£90,000
- Flexible, hybrid working model
- Opportunity to work on cutting-edge machine learning applications in advertising technology
- Clear scope for technical ownership and career progression
- Collaborative and high-performing team environment
How to Apply
If you’re interested in applying your data science expertise to real-world optimisation challenges in a fast-paced environment, please apply with your CV.
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Jessica, London
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