Junior Data Scientist

Company Overview

Zap is a lending platform that operates within the fintech industry, focusing on consumer lending solutions. The company is part of a parent organization associated with Finance Buddha, a well-known entity in the financial services domain. Zap emphasizes innovative financial products and data-driven decision-making to enhance lending processes.

Job Summary

The Junior Data Scientist will be responsible for building machine learning models, deploying these models, and developing APIs to integrate models into the platform. The role requires a technically sound individual with a strong foundation in data analysis, model development, and deployment, primarily within the lending or fintech domain. The position offers an opportunity to work in a dynamic environment, contributing to the company's growth by leveraging data insights and advanced analytics.

Responsibilities

• Develop and build machine learning models to support lending and financial decision-making processes.
• Deploy models into production environments and build APIs for seamless integration.
• Work with SQL, Python, and Snowflake database to extract, analyze, and manipulate data.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Ensure the accuracy, efficiency, and scalability of data models and analytics solutions.
• Maintain and optimize data pipelines and workflows for ongoing model training and deployment.

Qualifications

• Technical Skills: Proficiency in Python, SQL, and experience with Snowflake or similar cloud data platforms.
• Model Development: Hands-on experience in building machine learning models and deploying them.
• Domain Knowledge: Preferably experience in fintech, lending, or consumer tech sectors.
• Educational Qualifications: BTech, BSc, MSc, or equivalent in Computer Science, Data Science, Statistics, or related fields.
• Soft Skills: Strong analytical thinking, problem-solving skills, and effective communication.
• Other Skills: Familiarity with model APIs, data pipelines, and cloud databases.

Preferred Skills

• Experience with model deployment frameworks and API development.
• Knowledge of financial or lending domain-specific data.
• Exposure to fintech or NBFC (Non-Banking Financial Company) environments.
• Prior experience with Big 4 or MBB consulting firms with a focus on data analysis.
• Ability to work in a hybrid setup with flexibility for remote work.

Experience

• 1 to 3 years of relevant experience in data science, data analysis, or related roles.
• Experience in building and deploying machine learning models, preferably in fintech or lending domains.

Environment

• Location: Bangalore-based with a hybrid work model (1-2 days WFH, flexible based on need).
• Work setting involves collaboration with cross-functional teams in a fast-paced, innovative fintech environment.
• The role may evolve to include a 5-day office presence later, with current flexibility.

Salary

• Target range: ₹14-15 LPA, with flexibility up to ₹15-18 LPA for exceptional profiles.
• Immediate joiners at higher CTC are encouraged to apply.

GrowthOpportunities

• Potential to advance into senior data science or analytics roles.
• Opportunities to lead projects and work on cutting-edge fintech solutions.
• Exposure to model deployment, API development, and scalable data infrastructure.

Benefits

• Competitive salary package.
• Flexible hybrid work environment.
• Opportunity to work in a fast-growing fintech startup with innovative projects.
• Exposure to the lending domain and advanced data science techniques.