Senior Economist

Zivian Health; London; On-site; GBP 58,000 - 89,000; Full time

Job summary

A leading health analytics firm is looking for an Economist to support their Science division. The role involves developing commodity market expertise, communicating complex ideas, and collaborating across functions. The ideal candidate has a Master's or Ph.D. in a quantitative field, experience in statistical research, and practical knowledge of tools like Excel and Python. This is a full-time remote position.

Qualifications

• Master's or Ph.D. degree in a quantitative field.
• Experience explaining commodity market concepts to non-scientists.
• Demonstrable experience in statistical research.
• Familiar with time series modeling and forecasting methodology.
• Background in Food & Agriculture or Mining & Natural Resources.

Responsibilities

• Develop commodity market expertise through statistical modeling.
• Translate model results into implementable customer solutions.
• Craft original written content for teams and customers.
• Support customers' understanding of software and product development.
• Monitor data quality and forecast performance.

Skills

Collaborative skills

Data analysis

Econometrics

Time series analysis

Communication

Education

Master’s or Ph.D. in Economics or related field

Tools

Microsoft Excel

Python

Job description

About the job

Who we are: DecisionNext (DN) is a rapidly growing software company that uses analytics to help food, natural resources, and chemical companies make better sales, purchasing, and operations decisions. DN is a fully-remote company with staff located across the continental U.S.

Position Overview: We are looking for an individual to serve as an Economist within the Science division at DN. Economists in this position comprehensively understand commodity markets and statistical techniques while possessing an ability to communicate those perspectives to customers of all backgrounds.

What you’ll do:

• Develop commodity market expertise through statistical or econometric modeling techniques.
• Translate model results into implementable customer solutions.
• Craft original written content targeted at internal teams and external customers
• Support customers’ understanding of DecisionNext software and lead the development of new products to serve customer needs best.
• Monitor data quality and forecast performance and implement corrective actions as needed to minimize forecast error and bias
• Continuously improve methodologies and processes to enhance forecast accuracy
• Collaborate with other teams

Who you are:

• You have demonstrated the ability to work collaboratively across different functions. A true team player.
• You have a diverse skill set covering data analysis, econometrics, and time series.
• You are strongly curious about understanding customer problems and driving innovative, nuanced solutions.
• You excel at communicating complex ideas to business partners for data-driven decision making.

Things we are looking for:

• Master’s or Ph.D. degree in a quantitative field (Economics, Agricultural Economics, Statistics, or similar).
• Experience explaining commodity market concepts to non-scientists.
• Demonstrable experience in statistical research.
• Familiar with time series modeling and forecasting methodology.
• Background in Food & Agriculture or Mining & Natural Resources
• Practical knowledge of Microsoft Excel and Python.

Job Type: Full-time
Job Location: Remote within US preferred
Reports to: Head Economist

Apply Now

Click to apply at LinkedIn.