Fraser and Neave, Limited ("F&N" or the "Group") had its origins more than a century ago, in the spirited decisions of two enterprising young men, John Fraser and David Neave, who diversified from their printing business to pioneer the aerated water business in Southeast Asia in 1883. From a soft drinks base, F&N ventured into the businesses of beer in 1931, dairy in 1959, property development and management in 1990, and publishing & printing in 2000. In 2012, the Group divested a substantial part of its beer business. In 2013, as F&N celebrated its 130th year of operation, it also welcomed its new majority shareholder, the TCC Group, which is engaged in food and beverage, real estate, industrial trading and consumer products, insurance and agriculture. In January 2014, through a distribution in specie and re-listing of Frasers Property Limited by way of introduction on the Singapore stock exchange, the Group demerged its properties business.
Today, F&N is a leading Southeast Asian consumer group with expertise and prominent standing in the Food & Beverage and Publishing & Printing industries. Leveraging its strengths in marketing and distribution, research and development, brands and financial management, as well as years of acquisition experience, the Group provides key resources and sets strategic directions for its subsidiary companies across both industries.
Listed on the Singapore Stock Exchange, F&N ranks as one of the most established and successful companies in the region with an impressive array of renowned brands that enjoy strong market leadership. F&N is present in 11 countries spanning Asia Pacific and the Americas, and employs over 7,200 people worldwide.
In F&N, the intern will be able to work on real world data and projects that applies data science and Machine learning models to help drive business critical insights.
Key takeaways will include:
- Working on internal ML models applied on relevant data
- Application and exposure to LLM for various types of usage
- Understanding and working on data engineering and cleaning phase of a project starting with ETL
- Fluency in Python programming and SQL
- Data visualization using powerBI to help with the presentation of insights and dashboards
We are looking for someone who is passionate and inquisitive when it comes to data, with analytical skills, who will be part of the team to build scalable and effective AI/ML models and dashboards under some technical directorship.
Your role will include assisting and supporting the development of AI/ML models, dashboards/reports, data extraction and loading process in the AI/ML/Dashboard Analytics projects.
Requirements:
- Bachelor of Science, in the fields of Data Science, Data Analytics, Statistics, Computer Science, Artificial Intelligence or equivalent
- Dashboard design and visualization using PowerBI, data ingestion, data cleansing and stitching data
- Multi-dimensional data model star schema
- Exposure to AI/ML, NLP on text analytics, Deep Learning on image/video recognition will be a plus
- Google BigQuery, SQL, Tensorflow, Scikit-learn (sklearn), Python, Java, R, Power BI, Dataflow, DAX, Power Pivot, Power Query, Macro service
Kindly note that only shortlisted candidates will be notified.
Related Company Review:
Fraser & Neave
www.fraserandneave.comType: Food & Beverage Manufacturing / Manufacturing
Pros: Good working environment and management
Cons: Slow progress in career development
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