Total Rewards Data Scientist Intern null

Your role

Zalora is looking for an enthusiastic and self-driven HR Data Scientist Intern to assist in developing, managing, and providing support to Rewards data reporting and processes. The successful candidate will be assigned to the People & Culture team to assist with automation-centered projects, turning data into actionable insights and data engineering-related projects. The role will be based in Malaysia.

Objectives

• To automate manual processes.
• To ensure uptime of critical total rewards tools such as the Cost Management Tool, GFG Headcount updates, and Attrition Projections.
• To provide the team with the capabilities of handling data engineering tasks such as data cleaning, pre-processing, and transformation.
• To allow for potentially new data-oriented projects in Total Rewards such as dashboards, interactive reports, and data checks.

Critical needs

• The scripts for automating the Cost Management tool require someone with technical expertise (programming knowledge) to troubleshoot and maintain.
• The data integrity dashboard requires someone with technical expertise (mainly Python ‘pandas’ library, ‘streamlit’, and data engineering background) to illustrate the needed changes and set and explain the changes needed.

Responsibilities:

• Design and implement data projects.
• Design and implement a data integrity dashboard.
• Build HR dashboards to measure the performance of key HR areas.
• Maintain the people cost management tool by fixing bugs, troubleshooting, and
  improving it.
• Support the Center of Expertise team in Talent Acquisition, Rewards, Performance
  Management, and Learning and Development areas by identifying areas of data
  process improvement and efficiency
• Assist in data mining, data interpretation, and report generation
• Assist in data completion and clean-up efforts on the HR systems.
• Enhance data dictionary and documentation of existing data for better understanding and self-service of internal users.

About you

Requirements for this internship:

• Studying for a university degree with a specialization in Data Science.
• Proficient in MS Office and Google Suite including Google Sheets.
• Good understanding of data manipulation and transformation.
• Good Python programming skills.
• Good understanding or prior experience in the Python ‘pandas’ library.
• Good understanding of database joins and merges.
• A good team player and motivated to learn and grow in a fast-paced e-commerce environment.
• Knowledge of Excel macros / VBA / Google Apps Scripts/ Google Query Language would be a plus to have.
• Knowledge of Python’s ‘streamlit’  library will be an added advantage.
• Knowledge of working with Python graph libraries such as matplotlib/seaborn would be a plus to have.
• Able to commit full-time for 6 months.

Benefits

The Internship provides the following benefits:

• An exciting platform to make your success story
• Have the utmost care for your mental and physical wellbeing
• Flexibility weaved into your lifestyle
• A seamless work environment with a friendly & team-fueled culture
• Career growth aligned with your professional and personal needs and goals
• The hybrid working mode is to focus better and be more productive working from home.
• Achieving work-life balance while meeting business needs

Training & development

ZALORA offers a great platform to kickstart your career journey. Interns receive hands-on training in fashion and e-commerce, with mentorship and workshops to help them grow and succeed. It's an exciting opportunity to build your success story!

Career progression

Interning at ZALORA is an exciting journey where you get real-world experience, sharpen your skills, and meet new people. You’ll learn a lot about fashion and e-commerce, opening doors to careers in Fashion Design, Digital Marketing, IT, Finance, and more. Plus, there’s a good chance of getting a full-time job offer!

Sources

The following sources were used in researching this page:

• zalora.com.my/careers/
• glassdoor.com/Reviews/Zalora-Intern-Reviews-EI_IE585411.0,6_KO7,13.htm
• youtube.com