Incedo - Lead - Data Scientist

Job location: [{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gurgaon/Gurugram","addressCountry":"IN"}}] Work arrangement: Employment type: FULL_TIME Salary: "" Experience requirements: {"monthsOfExperience":96,"educational":{"credentialCategory":"bachelor degree"}} Education requirements: "" Key Responsibilities: - Partner with business and technology leaders to identify high-value opportunities for applying data science and machine learning. - Lead the design, development, and implementation of machine learning solutions aligned with business priorities. - Own the end-to-end lifecycle of key data science initiatives, ensuring solutions are scalable, reliable, and suitable for real-world business use. - Guide the selection of appropriate analytical approaches and evaluate solution effectiveness against business objectives. - Drive the automation and standardization of analytical processes to improve operational efficiency and consistency. - Establish practices for monitoring model performance, managing risks, and continuously improving deployed solutions. - Work with data engineering, technology, and business teams to ensure seamless integration of analytical solutions into enterprise processes. - Identify opportunities to improve business performance, decision quality, and operational efficiency through advanced analytics. - Provide technical direction, review solution approaches, and mentor data scientists and other team members. - Communicate complex analytical findings in a clear, business-oriented manner and influence decisions through data-driven recommendations. - Promote best practices around data quality, model governance, responsible AI, and solution reliability. - Contribute to the development of the team's capabilities, delivery standards, and long-term data science roadmap. Required Skills & Experience: - 8 - 10 years of experience in data science, machine learning, advanced analytics, or related fields. - Strong hands-on experience in machine learning and statistical modelling, supported by proficiency in Python and SQL. - Demonstrated experience leading the delivery of machine learning solutions from business problem definition through production implementation. - Experience designing scalable analytical solutions and improving the performance and reliability of deployed models. - Strong understanding of model lifecycle management, automation, monitoring, and governance. - Proven ability to manage complex initiatives and work with multiple business and technology stakeholders. - Experience mentoring team members and providing technical guidance. - Strong communication, stakeholder management, analytical thinking, and decision-making skills. Preferred Qualifications: - Experience in banking, financial services, lending, credit risk, fraud detection, or other regulated industries. - Exposure to cloud-based machine learning platforms and enterprise analytics ecosystems. - Experience driving data science initiatives across multiple business functions or teams. - Bachelor's or master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related discipline.