Economist: Causal Insights with AI Analytics

Economist: Causal Insights with AI Analytics

Full-Time 37800 - 46200 Β£ / year (est.) No working from home possible
Dojo

At a Glance

  • Tasks: Identify causal impacts using AI analytics and design experiments for insightful decision-making.
  • Company: Join Dojo, a leader in the fast-paced payments industry.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on research integrity and innovation.
  • Why this job: Make a real difference by translating complex data into actionable insights for leadership.
  • Qualifications: Strong analytical skills and experience in economics or data analysis.

The predicted salary is between 37800 - 46200 Β£ per year.

Dojo is hiring an Economist to identify the true causal impact of actions, from pricing to product launches.

You will protect research integrity, challenge correlations, and ensure decisions stand up to scrutiny.

You will design and run experiments, build models and metrics, and translate findings into clear insights for senior leadership.

The role emphasizes AI-assisted analysis and collaboration in a fast-moving payments environment.

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Economist: Causal Insights with AI Analytics employer: Dojo

Dojo is an exceptional employer located in the vibrant city of Bristol, offering a dynamic work culture that prioritises collaboration and innovation. Employees benefit from a supportive environment that encourages professional growth and development, with ample opportunities to enhance their skills in data analytics and business intelligence. By working closely with a talented team, you will play a pivotal role in shaping the future of data-driven decision-making at Dojo, making it a truly rewarding place to advance your career.

Dojo

Contact Details:

Dojo Recruitment Team

We think you need these skills to ace Economist: Causal Insights with AI Analytics

Causal Analysis
AI Analytics
Research Integrity
Experimental Design
Statistical Modelling
Metrics Development
Data Interpretation