Associate Data Scientist - Artificial Intelligence/Machine Learning

Role Overview: As an Associate Data Scientist at our organization, you will be responsible for working on data asset projects and analytics-based solutions. Your role will involve hands-on tasks such as data cleaning, manipulation, NLP, model development, statistical analysis, and reporting. You will collaborate with cross-functional teams to deliver innovative solutions using AI, ML, NLP, and automation. Key Responsibilities: - Work on data asset and data science projects with ownership of deliverables. - Utilize Python, SQL, and related tools for data cleaning, manipulation, feature engineering, and reporting. - Develop ML and NLP models to support analytical and automation-driven use cases. - Perform data analysis to extract actionable insights. - Collaborate effectively with cross-functional teams, demonstrating strong communication and coordination skills. - Ensure confidentiality and accuracy of all assigned work. - Contribute to process improvements and automation initiatives. - Deliver tasks in a timely manner with high quality. Qualifications Required: - 3-6 years of hands-on experience in data science. - Strong understanding of statistics, NLP, and ML fundamentals. - Proficiency in Python (NumPy, Pandas, NLTK, spaCy, Transformers), SQL, and handling large datasets. - Experience in data cleaning, manipulation, feature engineering, and end-to-end model development. - Excellent communication and analytical thinking skills. - Ability to multitask, prioritize, and manage time efficiently. - Strong writing, documentation, and presentation skills. - Experience working in cross-functional teams. - Knowledge of MS Office tools (Excel, PPT, Word). - Strong attention to detail and an ownership mindset. Additional Company Details: You will have the opportunity to work on high-impact data science and compliance-focused projects using real-world datasets and cutting-edge technologies in a fast-paced, growth-focused environment. You will gain strong exposure across NLP, ML, automation, and AI-driven analytics, within a collaborative culture that encourages innovation and problem-solving. Role Overview: As an Associate Data Scientist at our organization, you will be responsible for working on data asset projects and analytics-based solutions. Your role will involve hands-on tasks such as data cleaning, manipulation, NLP, model development, statistical analysis, and reporting. You will collaborate with cross-functional teams to deliver innovative solutions using AI, ML, NLP, and automation. Key Responsibilities: - Work on data asset and data science projects with ownership of deliverables. - Utilize Python, SQL, and related tools for data cleaning, manipulation, feature engineering, and reporting. - Develop ML and NLP models to support analytical and automation-driven use cases. - Perform data analysis to extract actionable insights. - Collaborate effectively with cross-functional teams, demonstrating strong communication and coordination skills. - Ensure confidentiality and accuracy of all assigned work. - Contribute to process improvements and automation initiatives. - Deliver tasks in a timely manner with high quality. Qualifications Required: - 3-6 years of hands-on experience in data science. - Strong understanding of statistics, NLP, and ML fundamentals. - Proficiency in Python (NumPy, Pandas, NLTK, spaCy, Transformers), SQL, and handling large datasets. - Experience in data cleaning, manipulation, feature engineering, and end-to-end model development. - Excellent communication and analytical thinking skills. - Ability to multitask, prioritize, and manage time efficiently. - Strong writing, documentation, and presentation skills. - Experience working in cross-functional teams. - Knowledge of MS Office tools (Excel, PPT, Word). - Strong attention to detail and an ownership mindset. Additional Company Details: You will have the opportunity to work on high-impact data science and compliance-focused projects using real-world datasets and cutting-edge technologies in a fast-paced, growth-focused environment. You will gain strong exposure across NLP, ML, automation, and AI-driven analytics, within a collaborative culture that encourages innovation and problem-solving.