Senior Data Scientist (NLP / Machine Learning / AI)

We are looking for a highly skilled Senior Data Scientist to lead the design and development of AI/ML-driven solutions, with a focus on Natural Language Processing (NLP) and advanced analytics. This role involves building a proof-of-concept platform aimed at transforming decision-making processes using data, statistical modeling, and intelligent automation. The ideal candidate will have deep experience in machine learning, large-scale data processing, and computational modeling, along with the ability to translate real-world problems into scalable AI solutions. Key Responsibilities AI/ML Model Development • Design, develop, and validate statistical and machine learning models • Integrate NLP techniques into production-ready solutions • Evaluate algorithmic trade-offs (accuracy, scalability, performance) Technical Leadership & Framework Design • Define development frameworks, milestones, and delivery plans • Identify risks and mitigation strategies across technical workflows • Guide teams on best practices for scalable AI implementation Data Engineering & Processing • Work with large-scale datasets (hundreds of millions of records) • Build efficient data pipelines and optimize processing performance • Perform data cleaning, feature engineering, and statistical tuning Solution Architecture & Innovation • Design end-to-end AI solutions addressing business process gaps • Evaluate architectural approaches and data source strategies • Develop new approaches using ML, NLP, and advanced analytics Stakeholder Collaboration • Work closely with business stakeholders and technical teams • Translate complex analytical outputs into actionable insights • Participate in workshops, reviews, and demonstrations Proof of Concept & Delivery • Lead prototype development and testing • Conduct design reviews and performance evaluations • Support demos and showcase solution impact Agile & Continuous Improvement • Contribute to Agile development cycles • Continuously refine models and processes for improved outcomes Required Qualifications • Bachelor’s / Master’s / PhD in Computer Science, Mathematics, Engineering, or related field • Strong expertise in: • Machine Learning & Statistical Modeling • Natural Language Processing (NLP) • Data Engineering & Large-Scale Data Processing • Experience with: • Processing high-volume datasets (700M+ records) • Designing ML models from scratch • Algorithm optimization and performance tuning • Proven ability to: • Evaluate trade-offs across algorithms (accuracy vs scalability vs speed) • Build non-rule-based intelligent decision systems • Convert real-world/social processes into computational models • Strong understanding of: • Data structures, computational efficiency, and system design • Risk analysis across technical and data domains