Women in Tech
Data Scientist
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Working Environment
You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively.
Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community.
What You'll Be Doing
- Contribute to the design, analysis and build of data science solutions addressing real business and operational problems
- Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making
- Write and maintain Python code to support data preparation, analysis and modelling
- Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models
- Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle
- Collaborate with more senior data scientists, learning through shared delivery
- Communicate findings clearly to both technical and non-technical audiences
- Contribute to shared documentation, standards and continuous improvement across the profession
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.
Your Experience
To be successful in this role, you will bring:
- Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role
- Strong Python skills, with experience contributing to shared codebases
- A solid grounding in statistics, applied mathematics and scientific analysis techniques
- Experience working with real-world datasets, including cleaning, validation and exploratory analysis
- Understanding of how data science moves from experimentation into practical use
- Awareness of ethical considerations and responsible data practices
- Willingness to learn, accept feedback and engage constructively with challenge
Get help with your application
Your very own career expert that helps elevate your application to the next level.
In Return
You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery.
This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time.
As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us.
We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties.
Guidant Global is acting as an Employment Business in relation to this vacancy.
“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