Curious about the role What your typical day would look like

Your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve:

Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.
Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential.
Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes.
Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly.
Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment.
Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes.
Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models.
Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement.

Desired Skills and Experience:

8 -10 years of total DS and model development experience
Mandatory: Minimum 4+ years of experience in the Banking and Financial services industry
A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role
Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively.
Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL
Encourage collaboration with various stakeholders and take complete ownership of deliverables.
Adept understanding of various data science approaches, machine learning algorithms, and statistical methods.
Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations
Effective mentoring of a team with expertise in industry/domain/functional areas

Associate Principal - Data Scientist