Senior Data Scientist - Technopolis

HCLTech is a global leader in technology and IT services, renowned for delivering innovative, client-centric solutions across diverse industries. With operations spanning more than 50 countries, HCLTech is committed to driving digital transformation for Fortune 500 companies through a culture of collaboration, excellence, and sustainability. The company is recognized for its cutting-edge research, employee empowerment, and a strong focus on creating value-driven partnerships.

Overview of the Role

As a Data Scientist at HCLTech, you will play a pivotal role in harnessing the power of data analytics and machine learning to deliver actionable insights that drive business innovation and operational efficiency. You will be responsible for designing and implementing advanced analytical models, collaborating with cross-functional teams, and influencing strategic decisions that align with HCLTech’s vision of technology-led growth.

Detailed Responsibilities

• Analyze large, complex datasets to extract meaningful trends and insights that inform business strategies.
• Develop, validate, and deploy predictive and prescriptive models using advanced statistical, machine learning, and AI techniques.
• Collaborate with business stakeholders and technical teams to understand data requirements and translate them into analytical solutions.
• Design data pipelines and workflows for data collection, cleansing, transformation, and visualization.
• Communicate findings and recommendations effectively to both technical and non-technical audiences.
• Stay current with emerging trends, tools, and best practices in data science and analytics.
• Lead and mentor junior data scientists, fostering knowledge sharing and technical excellence.
• Document methodologies, models, and project outcomes in alignment with organizational standards.

Skill Requirements

• Minimum 6 years of hands-on experience as a Data Scientist or in a similar analytics-focused role.
• Strong proficiency in programming languages such as Python or R; experience with SQL and data manipulation libraries.
• Deep understanding of statistical analysis, machine learning algorithms, and model evaluation techniques.
• Experience with big data platforms (e.g., Hadoop, Spark) and cloud-based data services (e.g., AWS, Azure, GCP) is highly desirable.
• Solid background in data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Excellent problem-solving, critical thinking, and communication skills.