Adroit People Limited (UK)
Data Scientist

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Greetings! Adroit People is currently hiring
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.
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.
Role: Data Scientist


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Duration: 6 Months to Start
Location: Newbury, UK
Mode: Hybrid job 3 Days/week onsite is required.
Key skills required for the role:
- Data science
- ML
- EDA and feature engineering
- Experience of having ideated, developed and deployed to production end to end data science use case
Responsibilities:
- Design and architect scalable, secure, and high-performance data solutions primarily using the Snowflake platform
- Leverage Openflow experience to optimize data workflows and integrations
- Develop and maintain ETL/ELT pipelines for data ingestion from various sources, including Salesforce, relational, files, and NoSQL databases
- Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical solutions
- Implement dimensional modeling techniques to support data warehousing and business intelligence needs
- Build and optimize data pipelines across cloud environments (Azure and AWS) ensuring efficient data movement and transformation
- Ensure data quality, governance, and security best practices are adhered to across the data architecture
- Support analytics and reporting teams by enabling data access and integration with Power BI and Tableau dashboards
- Stay current with emerging data technologies and recommend improvements to existing data architecture
“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
Skills
Location