Financial Analytics Data Scientists
Daiichi Sankyo US
Location
πΊπΈ Bernards, United States
Type
full_time
Salary
Undisclosed
Posted
2w ago
Job Description
At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. Job Summary Creating measurable business impact through data, analytics and AI while accelerating innovation and enabling smarter decisions at global scale is at the heart of Data Insights, a newly established department within GloBuS. As one of its new capabilities, Financial Analytics will play an essential role in shaping the future of GloBuS through advanced analytics products and AI-enabled solutions. This is an opportunity to join at the beginning, help shape a new capability and make a lasting impact. The Financial Analytics Data Scientist is a key enabler of robust data-driven decisions that lead to better financial outcomes for the business.
The role
develops advanced analytics and AI solutions to solve complex financial problems and generate actionable insights. Acting at the intersection of analytics, data and decision-making,
the role
supports the development and evaluation of analytical approaches and contributes to the delivery of scalable Financial Analytics products. Across Finance
the role
contributes to advancing analytical capabilities, supports innovation and promotes effective use of data and AI.
Responsibilities
Job Description
This role collaborates closely with Financial Analytics Product Managers, Data Engineers, and further functions to translate business challenges into analytical approaches and measurable outcomes.