AI & Data Science Lead

As a Senior Data Scientist at BigTapp Analytics, you will be responsible for designing, developing, and deploying advanced machine learning and data science solutions within the banking and financial services domain. Your role will involve working on large-scale banking datasets including customer analytics, risk analytics, transaction intelligence, fraud detection, and regulatory reporting. You are expected to have strong expertise in statistical modeling, machine learning, and data engineering to facilitate data-driven decision making for banking products and services. **Key Responsibilities:** - Develop machine learning models for banking use cases like fraud detection, customer segmentation, credit risk modeling, and transaction analytics. - Perform data preprocessing, feature engineering, and exploratory data analysis on large banking datasets. - Build predictive models to support customer growth, risk monitoring, and operational efficiency. - Collaborate with data engineers and BI teams to integrate models into enterprise data platforms. - Deploy and monitor models in production to ensure performance, accuracy, and scalability. - Present insights and recommendations to business and banking stakeholders. - Ensure compliance with banking data governance and regulatory requirements. **Qualifications:** - Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field is preferred. - Certifications in Data Science, Machine Learning, or Cloud platforms are a plus. In addition, as a Senior Data Scientist at BigTapp Analytics, you should possess strong problem-solving and analytical thinking skills, excellent communication and collaboration abilities, and the capacity to translate complex analytical insights into business impact. You should also demonstrate a strong collaboration and teamwork mindset, adaptability to new technologies and tools, and a creative and innovative mindset. If you meet the mandatory skills and qualifications, and have a minimum of 5-8 years of experience as a Senior Data Scientist with experience in data engineering and BI, along with a proven track record of developing and deploying Data Science models in production environments, we encourage you to apply for this exciting opportunity at BigTapp Analytics. Please note that this is a summary based on the provided job description. For more information, including compensation and benefits, you can apply directly via email at hr@bigtapp.ai. As a Senior Data Scientist at BigTapp Analytics, you will be responsible for designing, developing, and deploying advanced machine learning and data science solutions within the banking and financial services domain. Your role will involve working on large-scale banking datasets including customer analytics, risk analytics, transaction intelligence, fraud detection, and regulatory reporting. You are expected to have strong expertise in statistical modeling, machine learning, and data engineering to facilitate data-driven decision making for banking products and services. **Key Responsibilities:** - Develop machine learning models for banking use cases like fraud detection, customer segmentation, credit risk modeling, and transaction analytics. - Perform data preprocessing, feature engineering, and exploratory data analysis on large banking datasets. - Build predictive models to support customer growth, risk monitoring, and operational efficiency. - Collaborate with data engineers and BI teams to integrate models into enterprise data platforms. - Deploy and monitor models in production to ensure performance, accuracy, and scalability. - Present insights and recommendations to business and banking stakeholders. - Ensure compliance with banking data governance and regulatory requirements. **Qualifications:** - Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field is preferred. - Certifications in Data Science, Machine Learning, or Cloud platforms are a plus. In addition, as a Senior Data Scientist at BigTapp Analytics, you should possess strong problem-solving and analytical thinking skills, excellent communication and collaboration abilities, and the capacity to translate complex analytical insights into business impact. You should also demonstrate a strong collaboration and teamwork mindset, adaptability to new technologies and tools, and a creative and innovative mindset. If you meet the mandatory skills and qualifications, and have a minimum of 5-8 years of experience as a Senior Data Scientist with experience in data engineering and BI, along with a proven track record of developing and deploying Data Science models in production environments, we encourage you to apply for this exciting opportunity at BigTapp Analytics. Please note that this is a summary based on the provided job description. For more information, including compensation and benefits, you can apply directly via email at hr@