HCL Vietnam Company Limited belongs to HCLTech.

HCLTech is a global technology company, home to more than 224,756 people 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. Consolidated revenues as of 12 months totaledUS$ 13.1 Bn, for 12 Months Ended December 31, 2023. To learn how we can supercharge progress for you, visit https://www.hcltech.com/

Roles and Responsibilities:

• Shortlist and identify data sources for segmentation and profiling such as from internal sources: transaction data, customer master data (demographic data), product data, product master data and external sources (credit data)
• Establish criteria to select customers whose data needs to be pulled for analysis
• Explore data and identify data quality gaps, trends, data variance and cleanse and transform the data
• Develop unsupervised learning models for customer segmentation from behavioral data and tune for optimum clusters
• Discover customer profiles from demographic customer data
• Communicate the data exploration and model results to Business Analysts and gather the feedback
• Provide inputs for Dashboard Design
• Coordinate in Dashboard testing
• Perform documentation of the developed solution

Experience/Exposure:

You are not expected to have 100% of these skills. At HCLTech, a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we would love to hear from you.

*** Must-have requirements

• Strong willingness and high commitment on working onsite: You will come to our customer's office to work fulltime on every week day
• At least 5 years of overall experience including at least 5 years of experience in Data Science/Machine Learning/AI Engineer
• Experience with designing and implementing MLOps
• Strong experience with Deep Learning techniques for NLP or Computer Vision
• Knowledge of advanced statistical techniques and concepts (Regression, Properties of distributions, Statistical tests and Proper usage, etc.) and experience with applications
• At least 1 year of experience in participating in advanced Data Analysis projects (AI/Machine Learning/Data Science) related to the field of Finance and Banking
• Experience in using statistical computer languages (R, Python, SQL, etc.) to manipulate data and to draw insights from large data sets

*** Good-to-have requirements

• Certificates of advanced Data Analysis tools corresponding to Data Science
• Experience in participating in projects using Agile methodology
• Good command of English verbal communication

Preferred Qualifications:

• University or College

Required Skills:

• Data Science/Machine Learning/Artificial Intelligence
• MLOps
• Deep Learning for NLP or Computer Vision
• Advanced statistical techniques and concepts