Senior) Data Scientist

Join us as a (Senior) Data Scientist to deliver high-impact prescriptive models and quantitative solutions that directly improve the outcomes of our pharmaceutical trading decisions.

Every day, supply- and demand-side traders at Abacus Medicine make parallel-import (PI) decisions across a complex portfolio of thousands of pharmaceutical products, suppliers, and customers. Price levels, demand forecasts, inventory policies, profitability requirements, and operational processing times are just some of the variables that can determine whether a trade outcome is favorable. Being able to make these trading decisions quickly and confidently in dynamic and uncertain market conditions is one key to success in pharmaceutical PI.

Our Advanced Analytics (AA) team at Abacus supports these decisions at scale, delivering reliable, trusted, and impactful predictive and prescriptive analytics directly to the traders who rely on them for recurring trading decisions. As a part of Abacus’s Data, Analytics & AI department, AA is responsible for the full lifecycle management of AI/ML solutions & advanced recommendation engines. We are a diverse team of nine data, AI & ML specialists working together to discover, develop, and operationalize innovative trading models that support real decision making and drive growth, and we are now searching for our next partner to join us.

As a (Senior) Data Scientist in Advanced Analytics, you will be responsible for the performance and continuous improvement of mission-critical prescriptive analytics that directly impact daily decision making across procurement, inventory, supply chain, and portfolio management teams. Additionally, you will extend our team’s quantitative capabilities to develop and deliver data science solutions grounded in math, statistics and machine learning that drive real impact across Abacus Medicine Group.

Specifically, your main responsibilities will include:

• Owning the implementation and continuous improvement of prescriptive models that drive inventory and procurement decisions across Abacus Medicine’s pharmaceutical trading activities.

• Working directly with traders to formulate complex business challenges as clear quantitative problem formulations and to explain in business terms the recommended solutions.

• Collaborating across product, data, engineering, and business teams to turn advanced analytics models into well-architected, production-ready decision-support tools.

• Extending our optimization and decision science capabilities with new approaches (i.e. stochastic modelling) and into new domains (i.e. pricing and demand forecasting).

• Advancing the broader Data, Analytics & AI roadmap by taking ownership of internal technical initiatives that improve how we build and operate our analytical services.

To be successful in this role, you bring:

• 2-5 years of applied experience as a Data Scientist or machine learning practitioner from an industry or enterprise environment where analytical models have been used to solve real business challenges.

• Practical experience and expertise in advanced quantitative methods
  , such as machine learning, mathematical modelling, optimization, simulation, operations research, or similar disciplines.

• Hands-on experience across the data science model lifecycle
  , including development, deployment, maintenance, and continuous improvement. Ideally, you are comfortable discussing end-to-end solution designs and architecture, and you have experience integrating predictive/prescriptive analytics into operational tools or workflows.

• Expertise in the data science tool stack including Python (pandas, numpy,…