Total 28 Internship data entry job vacancies in singapore singapore

Job Description

Main Tasks:

• Conducting sales data collection and analysis
• Quoting and managing product pricing
• Supporting the sales team with business enquiries and administrative matters
• Analyzing data and drawing meaningful insights to improve sales and processes
• Conduct projects with different stakeholders to support and drive sales
• Assisting in preparation of presentation slides and other SAP-related sales support activities
• Creating analytics reports for KPI reporting (Monthly Customer Reports, Quality Reports)

May also include:

• Planning and hosting of marketing events
• Collaborating with 3rd party agencies for social media campaigns
• Designing and archiving marketing materials
• Coordinating with 3rd party vendors for various tasks
• Supporting functions of regional teams for problem solving
• Other administrative tasks on ad-hoc basis

Job Description

• Support on Customer Relationship Management (CRM) tools
• Assist the ASEAN sales team with ongoing analytical, administrative and operational tasks
• Manage sales reports, sales dashboards and sales process to make data access extraction more efficient
• Involve in various projects with different stakeholders to support and drive sales
• Support Preferred partner program and channel strategies
• Market research when required
• Assist in preparation of presentation slides and other ad-hoc sales activities
• Assist in other ad-hoc analytics and marketing project and tasks

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

About the role:

As a Data Engineering Intern at Rapsodo, you’ll play an essential role in building and optimizing the data infrastructure that powers decision-making and innovation throughout our organization. This role is ideal for students passionate about data engineering, with a foundational knowledge of data analytics to support meaningful insights. You’ll gain hands-on experience with cutting-edge technologies, applying your skills to bridge data engineering and analytics, and making an impact on projects in sports technology and business strategy.

Key Responsibilities:

·       Participate in the design, development, and maintenance of Rapsodo’s data systems, using tools like Google BigQuery, Kafka, and GCP Pub/Sub.

·       Support data ingestion, processing, and ETL (Extract, Transform, Load) processes to deliver reliable data for analytics teams.

·       Collaborate with data analysts and scientists to ensure clean, structured data is available for analysis, reporting, and visualization.

·       Assist in the setup and monitoring of real-time data pipelines, learning to identify ways to streamline data ingestion and reduce latency.

·       Work on data collection, cleaning, and preprocessing, preparing data for analytics and helping generate insights for diverse projects.

·       Collaborate with the team to troubleshoot and improve data pipeline and infrastructure efficiency.

·       Create basic reports, dashboards, and visualizations with tools like Tableau or Power BI, conveying valuable insights to business stakeholders.

·       Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field.

·       Knowledge of SQL and familiarity with Google BigQuery or other data warehousing solutions.

·       Exposure to programming languages such as Python or R and experience with data manipulation, cleaning, and preprocessing techniques.

·       Interest in or exposure to data streaming technologies (e.g., Kafka, GCP Pub/Sub) and ETL development.

·       Basic understanding of statistical analysis and hypothesis testing to support data-driven insights.

·       Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI, or Matplotlib) is a plus.

·       Excellent written and verbal communication skills.

·       Strong analytical skills, attention to detail, and problem-solving abilities.

·       Strong interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.

·       An inquisitive mindset, coupled with a desire for continuous learning and growth.

You will primarily be:

• Responsible for the deployment, and support of analytical solutions as part of an established APAC Analytics & BI team.
• Supporting our regional data operations team, project management, and platform experts to deploy 1st party data  solutions for our media & CRM teams across Asia-Pacific.
• Proactively and innovatively driving excellence in the delivery of data and analytics solutions for advertising and CRM.
• Supporting the regional data team in partnering with stakeholders to provide innovative data solutions at both regional and local market levels.

The Louis Dreyfus Company Internship Program 2025 is a six-month program that provides students an opportunity to gain hands-on experience in commodity trading industry. The program is designed to equip interns with foundational knowledge and professional skills in one of the company’s business platforms.

As a Data Scientist, Systematic Trading Intern, you will be introduced to and become an integral part of our Data Science, Systematic Trading team. You will work with experienced professionals in Data Science, Systematic Trading team and interact with colleagues to gain insight into the commodity industry. You will be given the opportunity to collaborate with various stakeholders to develop your own sense of the working environment in the business platform.

In your role, you will leverage your expertise in Python programming, ETL processes, and cloud-based DevOps to enhance our data infrastructure and software development practices used for trading. Your contributions will be key in supporting our systematic trading activities, and overall, our data-driven decision-making processes. Your work will allow us to empower our trading platforms with robust data solutions, crucial for developing and optimizing profitable trading algorithms. You will also face the exciting challenge of structuring complex and large financial time series data, ensuring our trading strategies are informed by accurate, high-quality data.

Internship duration:

• Between Jan to June 2025

Main Responsibilities:

• Review cutting-edge research papers on (Gen) AI to apply them to systematic trading activities
• Assist in the development and maintenance of ETL pipelines, focusing on the data requirements of our systematic trading projects
• Help manage complex financial time series data, like Futures contracts, to ensure the trading strategies are based on accurate data
• Support the creation of software solutions in Python, emphasizing scalability, performance, and reliability
• Contribute to automating and scheduling workflows to improve operational efficiency
• Collaborate with data scientists and trading teams, understanding their data needs and assisting in providing technical solutions for effective data analysis and strategy implementation
• Engage in code quality improvement through strong CI/CD practices, automated tests, and peer reviews

Requirements:

• Education: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Information Systems, Quantitative Finance, Engineering or a related field
• Technical Skills:
  • Proficiency in Python for data manipulation, visualization, and dashboard development
  • Familiarity with Scheduling Tools, and Machine Learning Operations principles and practices
  • Willingness to learn software development best practices
  • Knowledge of data cleaning techniques and best practices
  • Interest in ETL processes, data modelling, warehousing
• Analytical Mindset:
  • Ability to analyze complex data sets and derive meaningful insights
  • Strong problem-solving skills
  • Attention to detail
• Communication Skills:
  • Excellent verbal and written communication skills
  • Ability to explain technical concepts to non-technical stakeholders
• Other Skills & Knowledge:
  • Willingness to work both independently and collaboratively in a team environment
  • Interest and knowledge in economics, finance, systematic trading, or agricultural commodities sectors, is a plus

About the role

Reporting to Vice President, Air, this internship role will have the opportunity to work with the different entities on exciting projects as well as to analyse various reports to provide information to our Regional Air Freight team for strategic business decisions. This 6-month full-time internship commences Dec 2024/Jan 2025.

What you will be doing

• Prepare monthly reports relating to air freight activities
• Detect irregular data from the reports and analyse the root cause
• Perform ad-hoc analysis as per requested by stakeholders
• Follow up with entities on the issues and/or comments of working reports
• Be involved in Middle Office Air Dashboard Enhancement Project
• Work with OMC on various projects on data management
• Maintain the BSA contract library
• Support RFQ activity to carriers for 2025 capacity

The successful applicant

Essential

• Polytechnic or university undergraduate or graduate in Business Management, Data Analytics, Data Science or related fields
• Meticulous, analytical, and can work independently
• Good interpersonal and communication skills
• Proficiency in MS Office (Excel, PowerPoint, Word)
• Good command of written and spoken English
• Knowledge in PowerBI and/or Tableau

Desirable

• Keen to learn, fast learner
• Systematic, organized and able to multi-task
• Able to work under pressure in a dynamic, fast-paced environment to meet tight deadlines
• Team player with positive attitude

1.    To perform Data Analysis and Reporting
a.    Analyse and generate reports of Asia Pacific data on Customer Backlog (CBL) 
b.    Work with Sales Logistics Customer Interface Team to ensure data quality and track the progress of CBL.
c.    Perform data validation, identify the root cause and resolves issues to improve the order fulfilment rate and overall impact on customer service level. 
d.    Write complex SQL queries to extract, transform, and aggregate data from large databases efficiently. 
•    Utilize Common Table Expressions (CTEs) to create temporary result sets and simplify query readability. 
•    Leverage Window functions to perform advanced analytical operations, such as ranking, partitioning, and aggregations, within SQL queries.
•    Optimize SQL queries for performance by using appropriate indexing strategies and query execution plans.
•    Employ various JOIN operations (INNER JOIN, LEFT JOIN, FULL OUTER JOIN) to merge data from multiple database tables efficiently.
•    Create subqueries and correlated subqueries when necessary to retrieve specific subsets of data.
•    Implement conditional logic and CASE statements within SQL queries to handle complex data transformations.

e.    Continuously optimize SQL queries for performance, scalability, and maintainability. 
f.    Monitor and tune database performance to ensure efficient data retrieval.

2.    To build and enhance scripts / dashboards to support Process Automation
a.    Build and enhance Power BI dashboards with existing databases (SQL database, etc.) on different Order To Cash (O2C) topics.
b.    Maintain and improve current Power BI dashboards, including enhancing SQL scripts in databases and DAX measures in Power BI.
c.    Provide technical support to resolve data-related issues and troubleshoot problems in dashboards, and reports.
d.    Develop Python scripts to streamline and automate manual data transformation processes. 
e.    Identify repetitive data preparation tasks and create reusable Python scripts to perform data cleansing, formatting, and aggregation. 
f.    Continuously optimize and enhance Python scripts for performance, scalability, and efficiency.

3.    Cross-Functional Collaboration
a.    Collaborate and align with central departments / stakeholders to support in achieving sales targets.
b.    Manage multiple projects simultaneously, ensuring timely delivery of data analysis and reporting solutions. 
c.    Collaborate with project stakeholders to define project scope, objectives, and deliverables.

Ready to play ?

We are the champs in crafting and slinging sporting goods, apparel, and equipment. Whether you're smashing goals or conquering the great outdoors, Decathlon's got your back – because winning is our favorite sport!

Job Description

• Support on Customer Relationship Management (CRM) tools
• Assist the ASEAN sales team with ongoing analytical, administrative and operational tasks
• Manage price records, sales reports, sales dashboards and sales process to make data access extraction more efficient
• Involve in various projects with different stakeholders to support and drive sales
• Support Preferred partner program and channel strategies
• Market research when required
• Assist in preparation of presentation slides and other ad-hoc sales activities
• Assist in other ad-hoc analytics and marketing project and tasks

We seek creative individuals who combine strong analytic abilities and effective communication skills to better shape and deliver solutions. You will work with several account leads and clients. You will primarily be responsible for the design, build, testing, deployment, and support of complex dashboard & analytical solutions as part of an established APAC Analytics & BI team.

• A growth focus individual, who is motivated to push the boundaries, while proactively and innovatively finding ways to develop both client appetite for data and analytics; as well as developing world-class excellence in Asia Pacific delivery of data and analytics solutions for advertising and marketing.
• Work with the regional client team to analyze business requests and partner with stakeholders to provide a strategic solution data and analytics into actionable plans and tactics at regional and local market level.
• Work with business support, project management and technical experts as required across local markets to translate identified data into effective dashboarding solutions and reporting projects.
• Design, Build, Test, Debug, Monitor, and Troubleshoot various dashboarding solutions.

• Engage in daily meetings, take meeting notes, and follow up with cross-functional teams.
• Support partnership conversations, maintain documentation, and facilitate effective communication and relationships with external partners.
• Foster close internal collaboration with the product, marketing, and design teams.
• Track market trends and categorize useful information daily.
• Collect and follow up on project information under guidance.
• Using data driven decisions to Identify high-quality channels and help connect the team with KOLs,PR channels, projects, etc.
• Assist in handling unexpected situations, including communicating with external stakeholders and internal teams, ensuring effective information transfer across different parties.
• Efficiently complete other tasks assigned by the team leader.

Main Tasks:

• Conducting sales data collection and analysis
• Quoting and managing product pricing
• Supporting the sales team with business enquiries and administrative matters
• Analyzing data and drawing meaningful insights to improve sales and processes
• Conduct projects with different stakeholders to support and drive sales
• Assisting in preparation of presentation slides and other SAP-related sales support activities
• Creating analytics reports for KPI reporting (Monthly Customer Reports, Quality Reports)

May also include:

• Planning and hosting of marketing events
• Collaborating with 3rd party agencies for social media campaigns
• Designing and archiving marketing materials
• Coordinating with 3rd party vendors for various tasks
• Supporting functions of regional teams for problem solving
• Other administrative tasks on ad-hoc basis

*Internship period: At least 5 months, from January 2025

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We create evidence-based, personalised health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

• Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
• Perform on-site or off-site data collection, data organization, storage and processing
• Develop data-driven solutions and insights based on data mining, statistical modelling and machine learning methods
• Perform algorithm testing and validation
• Documentation of research, experiments and modelling findings/results
• Opportunity to be the co-author of our research publications

What are we looking for?

• Year 3 or final year in Data Science, Computer Science, Computer Engineering or related discipline
• Passionate about data science and good working knowledge of Python, SQL and R
• Good understanding or experience in signal processing and machine learning is required
• Keen interest in digital healthcare, wellness and fitness domain
• A 'go with the flow' and positive attitude, adaptable to change and energetic
• Passionate about learning and working with new technologies
• A natural tenacity, resilience and determination

• Preparing business and sales reports for the team and management
• Data Management using excel, power BI
• SAP and other price system operations
• Assist in the Business planning and consolidation activities
• Perform numerical analyses for management and team as and when required assist in other ad-hoc analytics projects

Your Role

We are looking for a highly motivated Data Analyst Intern to join our JAPAC Go-To-Market Shared Services team. As an intern, you will play a key role in a data analysis initiative focused on partner engagement in the JAPAC region. Your work will help us identify trends and correlations to better drive business outcomes. At the end of the internship, you will also gain a good understanding of Palo Alto Networks business and our value proposition.

Your Impact

• Work with key business stakeholders and regional teams (sales operations, data analysts, strategy and planning) to deliver insights, reports, visualization and analysis to solve important business problems and optimize growth opportunities
• Champion a data analysis project around partners engagement in JAPAC. Leverage methodology such as Recency/Frequency/Monetary to identify potential partners across the region.
• Work with complex data sets from across the value chain such as sales, technology and location to conduct multivariate analytics
• Passionate about working with big data to define, implement and monitor business KPIs, as well as to provide data driven insights to the business
• Perform deep analytical dives into transactional database and identify sub-sets of trends and correlations to better drive business outcomes
• Conduct ad-hoc analyses to support cross functional projects

LUXASIA is the leading beauty omnichannel distribution platform of Asia Pacific that has successfully enabled brand growth for more than 100 luxury beauty brands. Our integrated brand-building capabilities include luxury retail, online commerce, consumer marketing, and supply chain management. Since 1986, the company has partnered the world’s finest brands, such as Aveda, Bvlgari, Calvin Klein, Diptyque, Hermes, La Prairie, Montblanc, and SK-II. We have also established Joint Ventures with the likes of LVMH Group, Elizabeth Arden, Puig, Yves Rocher, and By Terry. At the core of our business is a diverse and dynamic #OneTeam of 2000 talents that shape the face of luxury beauty, and delights consumers daily across our growing footprint of 15 markets.

Why Join Us?

At LUXASIA, we believe there is beauty within every talent – that is you. We grow you by building your competencies and unleashing your potential. We have curated a vast portfolio of over 100 luxury brands across Asia Pacific, and growing. Your work will enrich the lives of millions of consumers across the region. With us, you get to be an entrepreneur, running the business like it is your very own. We give you the autonomy but not without guidance and genuine care. We are a diverse and inclusive team that is courageously innovative. Together as #OneTeam, we celebrate differences, embrace change, explore new ideas, take risks, fail fast, and drive results. While challenges at work are inevitable, the journey promises to be fulfilling. With LUXASIA, an exciting career filled with robust professional growth awaits you. Isn’t that beautiful?

Intern Project Details

Develop a predictive analytics solution to discern customer preferences, behavioural patterns, and evolving market trends across various channels.

This solution should seamlessly offer personalized product recommendations, mitigate decision fatigue, streamline product discovery, accurately forecast churn likelihood, and optimize omnichannel strategies for sustainable business growth.

Responsibilities

• Data Collection and Cleaning
• Collecting, processing, and cleaning data from various sources to ensure accuracy and reliability.
• Preparing data sets for analysis by identifying and addressing any inconsistencies or missing values.

• Data Analysis
• Analysis of large datasets using statistical methods and machine learning techniques.
• Conducting exploratory data analysis to identify patterns, trends, and correlations.
• Development of predictive models and algorithms.

• Model Development and Evaluation
• Development and implementation of machine learning models for predictive analytics and enabling stakeholders to use these models for outreach campaigns.
• Evaluating model performance using appropriate metrics and making recommendations for improvement.

• Data Visualization
• Creating visualizations and reports to communicate findings and insights to stakeholders.
• Utilizing tools such as Tableau to create compelling data visualizations.

• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related field.
• Strong programming skills in languages such as Python, R, or SQL.
• Familiarity with data manipulation and analysis libraries such as Pandas, NumPy, or scikit-learn.
• Basic understanding of statistical concepts and methods.
• Experience with data visualization tools and techniques.
• Excellent problem-solving and analytical abilities.

• Work with key business stakeholders and regional data team (data analysts, data engineers, machine learning engineers) to deliver insights, reports, visualization and analysis to solve important business problems and optimize growth opportunities
• Be passionate about working with big data to define, implement and monitor business KPIs, as well as to provide data driven insights to the business
• Perform deep analytical dives into problems to troubleshoot and identify root causes and find solutions
• Conduct ad-hoc analyses to support cross functional projects

Main Tasks:

• Conducting sales data collection and analysis
• Quoting and managing product pricing
• Supporting the sales team with business enquiries and administrative matters
• Analyzing data and drawing meaningful insights to improve sales and processes
• Conduct projects with different stakeholders to support and drive sales
• Assisting in preparation of presentation slides and other SAP-related sales support activities
• Creating analytics reports for KPI reporting (Monthly Customer Reports, Quality Reports)

May also include:

• Planning and hosting of marketing events
• Collaborating with 3rd party agencies for social media campaigns
• Designing and archiving marketing materials
• Coordinating with 3rd party vendors for various tasks
• Supporting functions of regional teams for problem solving
• Other administrative tasks on ad-hoc basis

• Support on Customer Relationship Management (CRM) tools
• Assist the ASEAN sales team with ongoing analytical, administrative and operational tasks
• Manage price records, sales reports, sales dashboards and sales process to make data access extraction more efficient
• Involve in various projects with different stakeholders to support and drive sales
• Support Preferred partner program and channel strategies
• Market research when required
• Assist in preparation of presentation slides and other ad-hoc sales activities
• Assist in other ad-hoc analytics and marketing project and tasks

1.    To perform Data Analysis and Reporting

• Analyse and generate reports of Asia Pacific data on Customer Backlog (CBL) 
• Work with Sales Logistics Customer Interface Team to ensure data quality and track the progress of CBL   
• Perform data validation, identify the root cause and resolves issues to improve the order fulfilment rate and overall impact on customer service level 
• Write complex SQL queries to extract, transform, and aggregate data from large databases efficiently. 
• Utilize Common Table Expressions (CTEs) to create temporary result sets and simplify query readability. 
• Leverage Window functions to perform advanced analytical operations, such as ranking, partitioning, and aggregations, within SQL queries.
• Optimize SQL queries for performance by using appropriate indexing strategies and query execution plans.
• Employ various JOIN operations (INNER JOIN, LEFT JOIN, FULL OUTER JOIN) to merge data from multiple database tables efficiently.
• Create subqueries and correlated subqueries when necessary to retrieve specific subsets of data.
• Implement conditional logic and CASE statements within SQL queries to handle complex data transformations.
• Continuously optimize SQL queries for performance, scalability, and maintainability. 
• Monitor and tune database performance to ensure efficient data retrieval.

2.    To build and enhance dashboards to support Process Automation

• Build and enhance Power BI dashboards with existing databases (SQL database, etc.) on different Order To Cash (O2C) topics.
• Maintain and improve current Power BI dashboards, including enhancing SQL scripts in databases and DAX measures in Power BI.
• Provide technical support to resolve data-related issues and troubleshoot problems in dashboards, and reports.
• Develop Python scripts to streamline and automate manual data transformation processes. 
• Identify repetitive data preparation tasks and create reusable Python scripts to perform data cleansing, formatting, and aggregation. 
• Continuously optimize and enhance Python scripts for performance, scalability, and efficiency.

3.    Cross-Functional Collaboration

• Collaborate and align with central departments/stakeholders to support in achieving sales target
• Manage multiple projects simultaneously, ensuring timely delivery of data analysis and reporting solutions. 
• Collaborate with project stakeholders to define project scope, objectives, and deliverables.

We seek creative individuals who combine strong analytic abilities and effective communication skills to better shape and deliver solutions. You will work with several account leads and clients. You will primarily be responsible for the design, build, testing, deployment, and support of complex dashboard & analytical solutions as part of an established APAC Analytics & BI team.

Expectations of a Data Intelligence Intern

• A growth focus individual, who is motivated to push the boundaries, while proactively and innovatively finding ways to develop both client appetite for data and analytics; as well as developing world-class excellence in Asia Pacific delivery of data and analytics solutions for advertising and marketing.
• Work with the regional client team to analyze business requests and partner with stakeholders to provide a strategic solution data and analytics into actionable plans and tactics at regional and local market level.
• Work with business support, project management and technical experts as required across local markets to translate identified data into effective dashboarding solutions and reporting projects.
• Design, Build, Test, Debug, Monitor, and Troubleshoot various dashboarding solutions.

Who we are

Decathlon is an international sporting goods creator and retailer with more than 60 in-house brands, sold through more than 1650 stores in 50 countries. Decathlon Singapore is looking for enthusiastic and proactive Data Interns to join our data team and create data-driven solutions relating to retail analytics, consumer analytics and sports analytics. You can expect to hone your data analytics skills and develop your data analytics journey here with us in this sports & retail industry!

What you will do

• Process, clean, and verify the integrity of data used for analysis
• Work in multiple projects to provide analytics insights to different stakeholders to support business decisions
• Design automated tools and dashboards that are user-friendly
• Assist different business units with data queries with SQL
• Apply data analytics and machine learning algorithms to the sports & retail Industry

Time Period

• Able to commit minimally 6 months, with potential conversion to full-time employment
• Able to start June / July 2024 onwards
• Please note that this is a full time internship position. 

Who you are

• Sport enthusiast and actively practicing a sport!
• You take energy in everything that you do; you express vitality and take initiative on your assigned tasks
• Proficiency in Python and SQL is required
• Good communication skills. Comfortable with collaborating cross-functionally – with people from different levels, backgrounds and experiences.
• Experience or coursework in statistical modeling, econometrics, data analysis.
• Experience with Tableau will be an advantage
• Experience with Databricks and Airflow will be an advantage

• Opportunity to work in an international, sporty environment
• Staff discounts across all Decathlon brands

By applying, you consent to the collection, use and disclosure of your personal data in accordance with our Privacy Policy (https://www.decathlon.sg/s/privacy-policy).

About us

Love, Bonito is a digital-first company on a mission to empower the everyday Asian woman and inspire self-confidence. We are Southeast Asia’s leading womenswear brand, headquartered in Singapore, with an omnichannel presence across Hong Kong SAR China, Indonesia, Malaysia and a retail franchise in Cambodia. In addition, we have also expanded into international markets namely the Philippines and the United States of America.

Founded in 2010, we are proudly female-founded with more than 65% female representation in leadership roles (#girlpower!). We raised a US$50M Series C round in 2021 and know that we’re on the cusp of something great, where we’re working towards becoming the most thoughtful brand globally, for the Asian female consumer, especially when it comes to our products, community and experiences.

There’s a lot more work to be done with all of our exciting plans. So we’re looking to team up with people who are wildly passionate about making an impact and be part of a dynamic team, in a workplace with no corporate BS (yes, you read that right!)

The Role:

Are you passionate about using data to solve real-world challenges? We are seeking a motivated and curious Data Science Intern to join our dynamic team and contribute to exciting projects that directly impact our business. This internship is a fantastic opportunity to gain hands-on experience, learn from experienced professionals, and develop your skills in the in-demand field of data science.

About Our Projects:

Our data science team tackles a variety of projects aimed at optimising our operations, enhancing customer experience, and driving business growth. Here are some of the projects you could be involved in:

• Demand Forecasting: Anticipating future product demand to enhance inventory control and production scheduling.
• Personalised Recommendations: Providing tailored suggestions to customers to enhance satisfaction and interaction.
• Attribute Tagging: Automating product attribute labelling to enhance search and filtering functions.
• Size Recommendation: Suggesting optimal sizes for customers based on their measurements and preferences.
• Fraud Prevention: Detecting and flagging potential fraudulent activities to safeguard against risks.

What We Are Looking For:

• Data wizard with a fashion flair: Possess a strong foundation in Python, SQL, statistics and machine learning.
• Problem-solving aficionado: Ability to think critically, solve problems creatively, and communicate effectively with both technical and non-technical audiences.
• Team player with an independent spirit: Collaborate seamlessly while taking initiative and ownership of your projects

Advantageous to Have: 

• Experience working with Databricks, PySpark, TensorFlow/PyTorch, and data visualisation platforms like Tableau or Metabase is a plus
• Passionate learner: Eager to delve into the world of fashion e-commerce data and continuously hone your skills

• Work on real-world projects that have a direct impact on the business.
• Gain hands-on experience with industry-standard data science tools and methodologies.

• Be mentored by experienced data professionals and learn from their expertise.
• Develop your professional network and build valuable connections within the industry
• Market level internship salary and benefits provided
• A dynamic, no corporate-BS environment to learn and grow

As a member of the advanced development team, the candidate will gain hands-on experience working in an R&D lab that leverages on AI (i.e., machine learning/deep learning) to address challenging real-world project use-cases. Specifically, the candidate will work on a project related to improving the AI model performance on small and imbalanced datasets using generative models. Overall, the candidate will support the team on:

• Exploratory data analysis (EDA), feature engineering, and optimize existing AI model’s performance.
• Experimentation and identification of suitable generative models for industrial datasets.
• Continued development of existing web-based machine learning (ML) application dashboard, analytical methods interface, and time-series database.

Job Purpose:  

The Marketing Coordinator has the overall responsibility for being the custodian for sub-function of the marketing team for the Company's Technology Solutions, India. Assisting in events, communications, managing the vendor portals and helping in maintaining the the Company's Brand image.

Responsibilities:

• Implements marketing plans and processes across all vendors.

• Understands and manages all the vendor portals for the marketing function.

• Raises requests for activities and ensures that the same is communicated to the teams.

• Filing claims for vendors and reconciliation with the Company's Finance team.

• Purchase order and debit note management for all third-party vendors.

• Assists in the communications function.

• Database and MIS analysis of business data for marketing usage.

• Custodian for all marketing collaterals- ensures dispatch and receipt of each.

• Custodian for all marketing assets and ensures update of each.

• Helps in conducting events and sourcing for the same.

Knowledge, Skills and Experience:

• Good Communication skills (Both written and oral)

• Seeks to build high customers satisfaction (internal and external)

• Must have 2 or more years of experience in marketing / sales co-ordination.

• Prior experience in distribution and/or IT preferred

• University degree or equivalent

What’s In It For You?

• Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
• Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
• Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
• Diversity, Equity & Inclusion: It’s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
• Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
• Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don’t meet every single requirement? Apply anyway.

At Tech Data, a TD SYNNEX Company, we’re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you’re excited about working for our company and believe you’re a good fit for this role, we encourage you to apply. You may be exactly the person we’re looking for!