About the Role:
As a Data Scientist youll be a key player in driving datadriven decisionmaking and innovation. Youll leverage your expertise in data analysis and machine learning to uncover valuable insights from complex datasets. Your work will have a direct impact in the entire customer lifecycle from Lead Management to Credit Decisioning to Collections & Monitoring.
Responsibilities:
- Collect clean and analyze large sets of structured and unstructured data to extract meaningful insights and trends
- Develop and implement advanced machine learning algorithms to solve complex business problems
- Support moving models to production by creating high quality code modules that can be seamlessly integrated into existing systems (both onprem and cloud)
- Communicate complex findings to both technical and nontechnical audiences through effective data visualization and storytelling.
- Collaborate with crossfunctional teams to identify datadriven opportunities and translate business requirements into actionable data solutions.
- Support the development and maintenance of data pipelines and infrastructure
- Stay uptodate with industry trends and advancements in Data Science and Machine Learning technologies
Skills Required:
- Strong foundation in statistics and machine learning algorithms
- Strong proficiency in programming languages like Python and SQL.
- Excellent problemsolving and analytical skills.
- Ability to work independently and as part of a team.
- Should have built production models using at least 2 of the ML techniques: Clustering Regression Classification
- Experience in Banking & Financial Services is preferred.
- Experience working on cloud platforms (e.g. AWS GCP) is preferred.
- A passion for data and a curiosity to explore new trends and technologies
Education Requirements: Graduatelevel qualification in Engineering /Data Science
Work Experience: 3 years of relevant experience in data science and analytics with a track record of developing and deploying ML models into production.
Remote Work :
No