Switch Tech Talent
Data Scientist
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Scientist
Newcastle (on-site)
£70,000-£140,000 + bonus
Financial Services
Data Scientist overview
The environment is geared towards people who enjoy tackling complex challenges, working closely with end users, and taking ownership from day one. Most of the work is greenfield, with separate divisions in financial services and defence-related projects, and will be creating insurance and energy divisions in the near future.
A growing high-calibre tech consultancy is seeking Data Scientists of various levels and disciplines to join its Data Analytics team in Newcastle.
The business works with clients across financial services, investment management, private capital and front office, using technology and data to solve complex, high-impact problems. It offers a collaborative, high-calibre environment where individuals are trusted to take ownership, work closely with end users and contribute directly to commercially important decisions.
Data Scientist role
As the Data Scientist you will work with investment professionals, analysts and technology teams to turn complex financial and alternative datasets into meaningful insights, predictive models and data products.
This Data Scientist role will involve supporting the investment decision-making process from initial idea generation through to thesis validation. This includes analysing structured and unstructured datasets, building predictive models, improving existing data products and helping investment teams understand how to use data more effectively.
Reasons to use Rodeo
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.
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.
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.
You will also work closely with Data Engineers to make use of automated pipelines and ensure that data products are reliable, scalable and useful across multiple business functions.
Data Scientist responsibilities
- Analyse large financial and alternative datasets to identify meaningful patterns and insights
- Build predictive models using structured and unstructured data
- Support investment teams with data-led research, analysis and decision-making
- Translate complex technical findings into clear, practical recommendations
- Develop and improve data products used by internal stakeholders
- Collaborate with Data Engineers and wider technology teams
- Investigate data quality issues, discrepancies and inconsistencies
- Stay up to date with emerging tools, methodologies and analytical techniques
- Take ownership of projects and deliver high-quality work with minimal oversight
- Build a strong understanding of financial markets, investment processes and business requirements
Data Scientist requirements
- Around 3–6 years of experience in data science or a closely related field
- Strong Python and SQL skills
- Experience with predictive modelling, statistical analysis and large datasets
- Knowledge of time-series data, financial data or alternative datasets
- Experience supporting investment professionals or working in a fast-paced analytical environment
- A strong grounding in applied statistics
- Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders
- Strong attention to detail and an ability to identify data issues quickly
- A proactive, curious and commercially minded approach
- A minimum 2:1 degree in Mathematics, Statistics, Engineering, Economics, Computer Science or a related quantitative subject
- Experience with Azure or Databricks would be beneficial but is not essential.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Why join as a Data Scientist?
- Work directly on data problems that influence investment decisions
- Take ownership of meaningful projects from an early stage
- Collaborate with highly capable colleagues across data, technology and investment teams
- Gain exposure to financial markets, global economic trends and alternative datasets
- Work in a supportive environment that values curiosity, autonomy and continuous development
- Help shape data products and analytical processes within a rapidly growing business
They’re hiring for, and value, Data Scientists who:
- Enjoy working on challenging systems
- Are friendly
- Truly understand problem-solving principles
- Enjoy variety
- Are adaptable and articulate
Data Scientist benefits:
- Target based bonus (~10-25%)
- Private healthcare
- Pension
- 25 days holiday + bank holidays
“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