Damia Group
Data Scientist

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Data Scientist - 6-month contract - £450-£550 per day (inside IR35) - London, hybrid
The Role
We're looking for an experienced Data Scientist to develop intelligent, data-driven products that help organisations make better decisions in complex and fast-changing environments.
Working closely with Product Managers, Solution Architects, Data Engineers and Machine Learning Engineers, you'll apply advanced analytics, statistics and machine learning to transform large, complex datasets into trusted customer-facing data products.
This is an opportunity to play a key role in building commercially valuable products while helping shape the future of data and AI across a global organisation.
Key Responsibilities
Analytics & Machine Learning
- Design, build, validate and maintain predictive and prescriptive models across travel, security and location-based datasets.
- Apply statistical analysis, machine learning and experimentation techniques to improve data quality, accuracy and reliability.
- Develop risk scoring models, benchmarks and domain-specific analytical frameworks that support customer decision-making.
Product Development
- Translate customer challenges and market requirements into innovative analytical solutions and data products.
- Work closely with Product Managers to help define product value propositions, success metrics and commercial opportunities.
- Contribute to product roadmap planning by assessing technical feasibility, business impact and customer value.
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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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.
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.
See breakdownIt 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.
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
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Data Quality & Governance
- Define data quality standards, validation rules and anomaly detection processes.
- Ensure analytical solutions align with privacy, governance and ethical AI principles, particularly within regulated environments.
- Support data lineage, explainability and auditability across analytical outputs.
Collaboration & Delivery
- Partner with Data Engineers to ensure reliable, model-ready data pipelines.
- Work alongside Machine Learning Engineers to deploy and operationalise models at scale.
- Present technical findings and recommendations clearly to both technical and non-technical stakeholders.
What We're Looking For
Essential
- 7+ years' experience in Data Science or a similar advanced analytics role.
- Strong programming skills in Python and SQL, with experience using modern machine learning libraries.
- Experience building predictive models using statistical and machine learning techniques.
- Strong communication skills with the ability to translate complex analysis into clear business insights.
- Experience working with large, complex datasets in cloud-based analytics environments.


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Desirable
- Experience developing customer-facing or commercially focused data products.
- Experience working in regulated industries such as Financial Services, Healthcare, Energy or Security.
- Knowledge of data governance, model explainability and responsible AI practices.
- Experience collaborating with Product Managers and cross-functional engineering teams.
**Damia Group Limited acts as an employment agency for permanent recruitment and the supply of temporary workers. By applying for this temporary job, you accept our Data Protection Policy which can be found on our website.
Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job.
Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
The advertised day rate range is dependent on experience and the required qualifications.**
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