Senior Data Scientist

Kaleidofin Private Limited; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Kaleidofin Private Limited is seeking a Lead Data Scientist to guide a team of data scientists and analysts. The role focuses on delivering analytical insights from customer data, building scalable, automated solutions, and partnering with technology teams to define data-driven product requirements.

The ideal candidate has 4+ years in advanced analytics, strong Python/SQL, and experience with big data and cloud platforms, with a preference for credit risk domain expertise.

Qualifications

• 4+ years in advanced analytics, statistical modelling, and machine learning.
• Best practice knowledge in credit risk - full lifecycle from origination to debt collection.
• Proficiency in Python and SQL/NoSQL with experience in big data and cloud environments.
• Experience with ML algorithms and cloud-based data processing frameworks.

Responsibilities

• Lead and mentor a team of data scientists/analysts.
• Provide analytical insights from customer data and case reviews; incorporate feedback.
• Collaborate with business partners to design analysis, testing, and measurement strategies.

Skills

Python

SQL/NoSQL

Machine learning

Big data

Cloud computing

Leadership

Stakeholder management

Data analysis

Communication

Spark

Hadoop

Hive

Tools

Spark

Hadoop

MapReduce

Pig

Hive

Job description

• Lead and mentor a team of data scientists/analysts
• Provide analytical insights by analyzing various types of data, including mining our customer data, review of relevant cases/samples, and incorporation of feedback from others.
• Work closely with business partners and stakeholders to determine how to design analysis, testing, and measurement approaches that will significantly improve our ability to understand and address emerging business issues.
• Produce intelligent, scalable, and automated solutions by leveraging Data Science skills.
• Work closely with Technology teams on development of new capabilities to define requirements and priorities based on data analysis and business knowledge.
• Developing expertise in specific areas by leading analytical projects independently, while setting goals, providing benefit estimations, defining workflows, and coordinating timelines in advance.
• Providing updates to leadership, peers and other stakeholders that will simplify and clarify complex concepts and the results of analyses effectively with emphasis on the actionable outcomes and impact to business.

Who you need to be?

• 4+ years in advanced analytics, statistical modelling, and machine learning.
• Best practice knowledge in credit risk - strong understanding of the full lifecycle from origination to debt collection.
• Well-versed with ML algos, BIG data concepts, and cloud implementations
• High proficiency in Python and SQL/NoSQL
• Collections and Digital Channels experience a plus
• Strong organizational skills and excellent follow-through
• Outstanding written, verbal, and interpersonal communication skills
• High emotional intelligence, a can-do mentality and a creative approach to problem solving
• Takes personal ownership, Self-starter - ability to drive projects with minimal guidance and focus on high impact work.
• Learns continuously; Seeks out knowledge, ideas, and feedback.
• Looks for opportunities to build owns skills, knowledge, and expertise.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit score domains preferred.

Job location

• Bangalore/Chennai (work from office-Hybrid)