The posting
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.



