Fortray Global Service Limited
Graduate Scientific Analyst
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Graduate Data Analyst / Scientific Analyst (Physics) – Entry-Level | No Experience Required
About the Role
Are you a recent Physics graduate looking to transition your strong mathematical, analytical, and problem-solving skills into a professional career?
We are seeking a highly analytical and motivated Graduate Data Analyst / Scientific Analyst to join our growing team. This entry-level role is well suited to Physics graduates who enjoy working with data, mathematical models, quantitative analysis, research, and technology.
No prior professional experience is required. Training and mentorship will be provided to help you develop practical skills in data analytics, statistical analysis, scientific computing, modelling, and business intelligence.
Key Responsibilities
- Collect, clean, analyse, and interpret quantitative datasets.
- Apply mathematical and statistical techniques to solve analytical problems.
- Identify trends, patterns, anomalies, and relationships within datasets.
- Develop reports, dashboards, and data visualisations.
- Assist with statistical modelling, forecasting, and predictive analysis.
- Build and maintain analytical models under the guidance of senior team members.
- Conduct quantitative research and investigate complex problems.
- Support data validation and quality assurance activities.
- Use analytical findings to support business and operational decision-making.
- Document analytical methods, assumptions, results, and conclusions.
- Collaborate with technical and non-technical teams.
- Stay updated with emerging data, technology, and analytical methodologies.
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.
Required Qualifications
- Bachelor's degree in Physics, Applied Physics, Mathematics, Statistics, Data Science, Data Analytics, Engineering, or another related quantitative discipline.
- Recent graduate or up to 1 year of experience.
- Strong mathematical and analytical abilities.
- Good understanding of statistics and quantitative methods.
- Strong logical reasoning and problem-solving skills.
- Basic knowledge of data analysis concepts.
- Proficiency in Microsoft Excel.
- Excellent attention to detail.
- Strong written and verbal communication skills.
- Ability to learn new technologies and analytical tools quickly.
Preferred Skills
- Basic knowledge of Python, R, or SQL.
- Familiarity with NumPy, Pandas, Matplotlib, or similar analytical libraries.
- Basic understanding of data visualisation and statistical modelling.
- Familiarity with Power BI or Tableau is an advantage.
- Knowledge of MATLAB, Mathematica, or scientific computing tools is beneficial.
- Basic understanding of machine learning concepts is advantageous.
- Academic research, laboratory projects, dissertations, internships, or computational projects are beneficial but not required.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
What You'll Gain
- Structured graduate training and mentoring.
- Hands-on experience working with real-world datasets and analytical projects.
- Exposure to data analytics, statistical modelling, scientific computing, and business intelligence.
- Opportunity to apply mathematical and scientific knowledge to real-world business problems.
- Career progression opportunities in Data Analytics, Data Science, Scientific Computing, Business Intelligence, Quantitative Analysis, Risk Analytics, and Technology.
- Continuous learning and professional development opportunities.
Equal Opportunity Employer
We are an equal opportunity employer and welcome applications from graduates of all backgrounds. We are committed to creating an inclusive workplace where everyone has the opportunity to learn, grow, and succeed.
“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