Job Description
Lead and manage a small team of data scientists and analysts, ensuring high-quality project delivery.
Work with large datasets to extract, clean, and analyze complex data, identifying trends, patterns, and actionable insights.
Develop, test, and deploy machine learning models to solve business problems, optimizing processes and improving decision-making.
Collaborate with business stakeholders to define data-driven strategies and deliver solutions aligned with business goals.
Manage SQL databases and write complex queries to extract and manipulate data for analysis.
Design and implement data pipelines, automating repetitive tasks and improving data workflows.
Present findings and insights in a clear and concise manner to non-technical stakeholders.
Stay up-to-date with the latest advancements in data science and fintech, continuously improving processes and methodologies.
Contribute to the growth and development of junior team members through mentoring and knowledge sharing.
Eligibility
Required Qualifications:Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
4-5 years of hands-on experience in data science, with a proven track record of delivering data-driven solutions.
Strong proficiency in Python and its libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, etc.).
Expertise in SQL and database management (writing complex queries, data manipulation, etc.).
Experience with machine learning algorithms, data modeling, and statistical analysis.
Strong understanding of data visualization tools and techniques.
Proven ability to manage and mentor a small team of data scientists or analysts.
Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Preferred Qualifications:
Previous experience in the fintech industry or financial services.
Familiarity with big data tools (e.g., Hadoop, Spark) and cloud platforms (AWS, Google Cloud, etc.).
Knowledge of advanced machine learning techniques, such as deep learning or natural language processing (NLP).
Experience with data warehousing and ETL processes.
About Company
IndiaLends offers Instant Personal Loans with best interest rate and disburses loan within 48-hours. With IndiaLends, choose from a wide spectrum of multi-utility credit cards from top banks and check your credit report for free. IndiaLends’ association with 70+ personal loan lenders and credit card providers has enabled us to provide services to 20 million+ customers in more than 400 cities. This has made IndiaLends as one of the best online marketplaces for personal loans and credit cards. We believe that every individual should have access to affordable credit and our vision is to make credit products more affordable and easier to procure for the common man. We achieve this through the extensive use of technology and data, and by working with financial institutions to improve workflows and risk assessments thereby making the loan disbursal process easier, shorter, and more efficient. We attribute our exponential growth and success to our team of bankers, data scientists, technology and user interface developers and marketers with multiple years of experience in consumer and small business credit. If you are interested in working in a dynamic, fast-paced environment with plenty of opportunities to grow, learn, contribute, and have fun, join us.