Data scientist

Job description:

About HCLTech
HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving.
Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

To learn more about how we can supercharge progress for you, visit www.hcltech.com

Data Scientist

Job Summary
To create systems and processes for gathering and studying various types of unorganized 'big data' with an aim is to produce useful insights and visualization tools to improve client service delivery and enhance products.

• Key Responsibilities
  1. To build algorithms and design experiments to merge, manage and extract data to supply tailored reports to colleagues, customers or the wider organization.
  2. To use machine learning tools and statistical techniques to develop custom data models and algorithms to apply to data sets
  3. To identify meaningful insights from large data and metadata sources & interpret findings from analysis and experiments through data mining & data discovery analytics
  4. Work with stakeholders to identify opportunities for leveraging data to drive business solutions
  5. To create reports that provide meaningful insights for customers/stakeholders to base business actions/decisions.