How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Company Description
Authority.inc is building the most accurate industry forecasting platform in the world, predicting niche market events and emerging trends. The company is backed by leading investors from institutions such as Stanford, Google, and Oxford.
Role Description
As a Founding Data Scientist at Authority.inc, you will design and implement core models and data pipelines that power the industry intelligence platform. This full-time, on-site role in the London Area, United Kingdom involves:
- Collecting, cleaning, and structuring large, complex datasets
- Building and evaluating statistical and machine learning models
- Creating robust metrics and experiments to measure product impact
- Collaborating closely with engineering and product teams to translate business questions into analytical frameworks, prototype algorithms, and move successful approaches into production
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.
Qualifications
Get help with your application
Your very own career expert that helps elevate your application to the next level.
- Strong foundation in data science, including experience applying Data Science methods to real-world business problems.
- Proficiency in Statistics, with the ability to design experiments, perform hypothesis testing, and build statistical models.
- Hands-on experience in Data Analytics and Data Analysis, including cleaning, transforming, and interpreting complex datasets.
- Ability to create clear and insightful Data Visualization to communicate results and support decision-making.
- Advanced skills in Python or R, and familiarity with common data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch or TensorFlow).
- Experience with SQL and modern data infrastructure (e.g., cloud data warehouses, ETL/ELT tools, version control, reproducible workflows).
- Background in building and deploying machine learning or statistical models into production environments.
- Bachelor’s or advanced degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline, or equivalent practical experience.
- Ability to work collaboratively in a fast-paced startup environment, with strong communication skills and a focus on impact.
- Experience in market intelligence, financial data, or other industry data domains is a plus, as is prior startup or founding team experience.
“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