SmartChoice International Limited
Data Science Consultant

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Job Title: Data Science Consultant – Insurance Domain
Location: London, UK
Employment Type: Permanent
Working Model: Hybrid – 3 days in office
About the Role
We are looking for an experienced Data Science Consultant with strong insurance sector knowledge to bridge business needs and technical delivery. The role combines stakeholder consulting with hands-on development of data, AI, and machine learning solutions.
Key Responsibilities
- Partner with business leaders to identify challenges, opportunities, and high-value analytics use cases.
- Lead discovery sessions, workshops and requirements discussions.
- Convert business needs into practical AI, ML and data science solutions.
- Present recommendations, prototypes and outcomes to senior stakeholders.
- Work across areas such as underwriting, claims, pricing, risk and customer operations.
- Develop predictive models, ML solutions, GenAI applications and proof-of-concepts.
- Perform data analysis, feature engineering, model validation and optimisation.
- Collaborate with engineering and architecture teams to take solutions into production.
- Support MLOps, monitoring, governance and responsible AI practices.
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.
Essential Experience
- 10+ years in Data Science, AI, Machine Learning or Advanced Analytics.
- Proven experience within the insurance sector.
- Strong knowledge of insurance processes such as claims, underwriting, pricing, risk, or policy administration.
- Demonstrated experience in business-facing consulting and stakeholder management.
- Excellent communication skills with the ability to explain technical concepts to senior non-technical audiences.


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Technical Skills
- Python, SQL, and data science technologies.
- Machine Learning and predictive modelling.
- Generative AI, LLMs, RAG and Agentic AI.
- Experience with Azure AI / OpenAI, Azure ML, Databricks or comparable platforms.
- Power BI or similar data visualisation tools.
- MLOps and model lifecycle management.
- Awareness of AI governance, security, and Responsible AI.
What We’re Looking For
Someone who can comfortably move between business strategy and technical execution, influence stakeholders, and turn complex insurance challenges into measurable data and AI outcomes.
“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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