Data Scientist

Airfinity is the world’s leading provider of predictive health analytics. Our proprietary platform combines advanced modeling with real-time data from trusted sources to provide actionable insights for pharmaceutical companies, healthcare providers, governments, and investors. We’re a fast-growing, mission-driven team transforming global health decision-making through data.

Objective of the Role: The Data Scientist role will be to forecast, risk assess and build predictive models for a number of indicators such as vaccine sales, pricing, output. The Data Scientist is a key role within Airfinity that will develop a deep understanding of Airfinity data and use that to build world-class predictive models that will ultimately help key global decision makers save lives. The Data Scientist holder will have the opportunity to work closely with clients to understand their business needs, including across Governments and Pharma departments.

Long term contract opportunity offering 900-950 Romanian leu per day.

Key Responsibilities:

• Develop predictive models relating to pharmaceuticals and infectious diseases or other therapeutic areas.
• Turn science-related data into compelling medical and commercial insights for clients using a wide range of predictive modeling techniques
• Understand the key questions that clients need answering and develop creative solutions to quickly and effectively solve their problems
• Build forecasts ad risk assessment to aid decision makers’ strategy
• Become the client facing expert lead within pharmaceutical forecasting
• Deliver effective stakeholder presentations and demonstrations to optimise the value of Airfinity's solutions to clients
• Coordinate and collaborate with colleagues to build vaccine and treatment forecasts for infectious diseases and other therapeutic areas.
• Potential to also assume people management responsibilities over time

Skills and Qualifications:

• Highly analytical and strong academic background in STEM with a passion for Life Sciences and how analytics can be used to save lives
• Fluent in python
• Strong mathematical and statistical skills
• Knowledge of predictive and risk based forecast modeling, including development and implementation
• Able to work quickly in a fast-paced environment
• Ability to distill complex ideas and models into understandable and actionable insights
• SQL knowledge
• Comfortable with large-scale libraries and working with different profiles (quants, IT, MO, Risk)
• Ability to propose new design patterns and architectures with a strong emphasis on clean and ordered code with a focus on productisation.
• Strong communication skills - Fluent conversational business English.

What We Offer:

• The opportunity to work with a pioneering team in predictive health analytics and contribute to a mission with real-world impact.
• A collaborative and fast-paced environment with a focus on innovation.
• The chance to work closely with a multidisciplinary team of data scientists, analysts, and researchers.

Airfinity values individuals who bring a forward-thinking approach to industry challenges and are committed to contributing to a healthier, more resilient world.

We are an Equal Opportunity Employer, who are committed to creating a diverse and inclusive company culture, that does not discriminate. Exclusivity and a diverse culture is what helps us shape who we are and reach our potential.