Senior Applied Full Stack Data Scientist
As a Senior Applied Full Stack Data Scientist, you will translate complex datasets and business challenges into scalable technical solutions using data science, AI, ML, and optimization algorithms. You will be responsible for the end-to-end journey from problem understanding to developing and deploying production-standard data intelligence solutions. This role requires strong software engineering skills, particularly in Python, and expertise in statistical learning techniques and data analytics.
Athena is a cross-asset platform transforming technology at JP Morgan. It delivers innovative and efficient applications to a wide range of the firm's business, including sales, trading, operations, risk and research. Athena combines the best of open source technologies with innovative components developed internally, and serves a wide spectrum of users and stakeholders including the front office, quantitative researchers and technology teams.
In Athena Applied Intelligence team, we combine the power of Data Science (DS), AI, ML, optimization algorithms and automation to augment human intelligence and solve business problems at scale. We are on a mission to make better and smart use of data, identify and solve high-impact decision and optimization problems to unlock business value at scale.
You will be part of a highly creative, innovative and passionate team of engineers looking to generate actionable insights and advance the state-of-the-art in automated and scalable intelligent decision making. We embrace a culture of experimentation, collaboration, creativity and innovation, and constantly strive for improvement and continuous learning.
As a Senior Applied Full Stack Data Scientist, you will translate complex datasets and business challenges into technical problems and solve them at scale using the appropriate methodologies and tools. You will participate in the full journey from understanding the business problem, sourcing, collecting and analysing data, developing and iterating through solutions, demonstrating value and taking ideas from concept to product. Your deep expertise and interest in data analytics, data science and algorithms, as well as strong practical experience with modern engineering technologies will enable you and the team to intelligently transform data into high-standard robust production capabilities that deliver value directly to the business.
This includes (but is not limited to):
Our applied data scientists are curious, detail-oriented, fast-learners and driven to deliver results to our clients. We are motivated by complex analytical problems, and proficient in uncovering meaning and relevant opportunities from complex datasets. We're looking for a creative problem solver, a data enthusiast and strong software engineer who is passionate about realizing the full power of applied data analytics and intelligence in a complex commercial setting. You convey your ideas and results clearly, and can collaborate and communicate effectively with stakeholders of various backgrounds. You have strong software engineering and development skills in Python or a similar programming language with practical experience writing quality code and adhering to strong SDLC standards. This is key to be successful in this role.
Posted June 9, 2026