Associate - Data Science

Actively Reviewing the Applications

ProcDNA

India, Karnataka, Bengaluru Full-Time On-site

Posted 4 days ago • Apply by June 10, 2026

Job Description

About ProcDNA

ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 420+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA.

What You’ll Do

Collect, clean, and process large datasets from multiple sources
Develop and test advanced machine learning algorithms and models to solve problems in a computationally efficient and statistically effective manner
Analyze and interpret data to identify trends, patterns, and insights by executing statistical and data mining techniques
Visualize data and present findings to stakeholders
Document code, models, and experiments to ensure reproducibility and maintainability
Collaborate with cross-functional teams to identify business problems and develop data-driven solutions
Communicate project progress and results to relevant stakeholders
Stay up to date with the latest data science techniques and tools

Must have

Bachelor's/Master’s program in Data Science, Computer Science, Statistics, Mathematics, or a related field
Good understanding of the US pharmaceutical landscape and its key stakeholders.
Hands-on experience or exposure to segmentation, predictive analytics, forecasting, and causal inference modeling use cases.
Proficient in Python and must know about libraries like (Pandas, Scikit-Learn, Matplotlib, TensorFlow, etc.); SQL, R is a plus
Good understanding of data manipulation, statistical analysis, and machine learning concepts
Ability to work independently and manage multiple tasks simultaneously
Strong attention to detail, with a research-focused mindset
Excellent critical thinking and problem-solving skills
Excellent communication - should be able to describe findings to a technical and non-technical audience
Familiarity with data visualization tools such as Tableau, Power BI or R Shiny is a plus
High motivation and good work ethic is a must

Skills: machine learning,models,data science