Data Scientist

NxtWave Client Hiring for Data Scientist Roles (Junior & Senior Positions) Job Opportunity 1: Junior Data Scientist Location: New Delhi (Nehru Place) Experience: 1-2 Years CTC: upto 25 LPA About the Role: We are looking for a motivated Junior Data Scientist with a strong foundation in data analytics and machine learning. The candidate will work on business analytics, predictive modeling, and AI-driven solutions within the NBFC/Banking domain. Key Responsibilities: Analyze business data to identify trends and actionable insights Perform data cleaning, preprocessing, and exploratory data analysis (EDA) Assist in developing machine learning models for business and risk use cases Build and maintain analytical models and data pipelines Create reports and dashboards for business stakeholders Collaborate with Product, Business, Risk, and Engineering teams Improve model accuracy and data quality Required Skills: Data Analytics, Data Science, Python, Machine Learning Basics, SQL, Excel, Statistics, Predictive Analytics, Data Cleaning, Exploratory Data Analysis (EDA), Power BI/Tableau Preferred: NBFC/Banking Domain Exposure Job Opportunity 2: Senior Data Scientist Location: New Delhi (Nehru Place) Experience: 3-5 Years CTC: Upto 35 LPA About the Role: We are seeking an experienced Senior Data Scientist to drive advanced analytics and machine learning initiatives supporting business growth and risk management. The candidate should have hands-on experience in AI/ML, business analytics, and financial services domain. Key Responsibilities: Develop and deploy advanced machine learning and AI models Build predictive models for credit risk, lending, collections, and customer analytics Perform feature engineering, model validation, and performance monitoring Translate business problems into data-driven solutions Work with Product, Risk, Business, and Engineering teams Present insights and recommendations to stakeholders Mentor junior data scientists and promote best practices Required Skills: Advanced Python, Machine Learning & AI Models, Model Development & Deployment, Feature Engineering, Model Validation, Strong SQL, Power BI/Tableau, Credit Risk Modeling, IFRS 9 (PD, LGD, EAD, ECL) Preferred: NBFC/Banking/Financial Services Domain, Credit Risk Modeling, IFRS 9 Implementation, Lending Analytics, Collections Analytics, Cloud Platforms (AWS/Azure/GCP) NxtWave Client Hiring for Data Scientist Roles (Junior & Senior Positions) Job Opportunity 1: Junior Data Scientist Location: New Delhi (Nehru Place) Experience: 1-2 Years CTC: upto 25 LPA About the Role: We are looking for a motivated Junior Data Scientist with a strong foundation in data analytics and machine learning. The candidate will work on business analytics, predictive modeling, and AI-driven solutions within the NBFC/Banking domain. Key Responsibilities: Analyze business data to identify trends and actionable insights Perform data cleaning, preprocessing, and exploratory data analysis (EDA) Assist in developing machine learning models for business and risk use cases Build and maintain analytical models and data pipelines Create reports and dashboards for business stakeholders Collaborate with Product, Business, Risk, and Engineering teams Improve model accuracy and data quality Required Skills: Data Analytics, Data Science, Python, Machine Learning Basics, SQL, Excel, Statistics, Predictive Analytics, Data Cleaning, Exploratory Data Analysis (EDA), Power BI/Tableau Preferred: NBFC/Banking Domain Exposure Job Opportunity 2: Senior Data Scientist Location: New Delhi (Nehru Place) Experience: 3-5 Years CTC: Upto 35 LPA About the Role: We are seeking an experienced Senior Data Scientist to drive advanced analytics and machine learning initiatives supporting business growth and risk management. The candidate should have hands-on experience in AI/ML, business analytics, and financial services domain. Key Responsibilities: Develop and deploy advanced machine learning and AI models Build predictive models for credit risk, lending, collections, and customer analytics Perform feature engineering, model validation, and performance monitoring Translate business problems into data-driven solutions Work with Product, Risk, Business, and Engineering teams Present insights and recommendations to stakeholders Mentor junior data scientists and promote best practices Required Skills: Advanced Python, Machine Learning & AI Models, Model Development & Deployment, Feature Engineering, Model Validation, Strong SQL, Power BI/Tableau, Credit Risk Modeling, IFRS 9 (PD, LGD, EAD, ECL) Preferred: NBFC/Banking/Financial Services Domain, Credit Risk Modeling, IFRS 9 Implementation, Lending Analytics, Collections Analytics, Cloud Platforms (AWS/Azure/GCP)