At a Glance
- Tasks: Analyse data using causal inference methods and synthetic control modelling for impactful projects.
- Company: Propel, a dynamic company focused on high-impact data science projects.
- Benefits: Immediate start, opportunity to work on complex analytical tasks.
- Other info: Ideal for those who thrive under tight deadlines with minimal onboarding.
- Why this job: Make a real difference in data analysis while honing your skills in a fast-paced environment.
- Qualifications: Strong expertise in causal inference and synthetic control modelling required.
The predicted salary is between 50000 - 70000 £ per year.
Propel is seeking a Data Scientist to support a short-term, high-impact project in Greater London, starting immediately. The ideal candidate will have strong expertise in causal inference methods and synthetic control modelling, capable of delivering high-quality output in tight deadlines.
This role is perfect for someone who enjoys engaging in complex analytical work with minimal onboarding. Interested individuals should send their CV to Zoe at.
Data Scientist - Causal Inference & Synthetic Control in London employer: Propel
At Propel, we pride ourselves on fostering a dynamic work culture that values innovation and analytical excellence. As a Data Scientist in Greater London, you will have the opportunity to engage in impactful projects while benefiting from a collaborative environment that encourages professional growth and development. Our commitment to employee well-being and flexible working arrangements makes Propel an exceptional employer for those seeking meaningful and rewarding careers.
