Junior Data Scientist

Location: Singapore
Business sector: Data Engineering with Machine Learning Fundamentals
Salary: S$5000 to S$11500
Job reference: 474393
Published: 6 months ago
We are looking for a professional in Machine Learning/Deep Learning/Artificial Intelligence, someone who is passionate about Big Data Analytics (BDA) that will be working closely with our business units, respective functions from the Group to Company level. You will have a passion to provide insights to the business covering a range of topics from operation, supply & demand, logistic, finance and marketing.

You will be responsible for assisting in the data preparation, data integration, data science modeling and visualization. You will also undertake and implement AI solutions end to end with various system integration by APIs.

We are looking for someone who is a self-starter, technically strong, inquisitive when it comes to data, critical thinking, analytical abilities who will collaborate to build effective, scalable and highly reliable data models that will benefit the different business stakeholders across the Group.

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, dairies 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.


What You'll Be Doing 

  • Designing and developing machine learning (ML)/deep learning (DL) model.
  • Evaluate and implementing appropriate ML/DL algorithms.
  • Study and transform data science prototypes to production solution.
  • Identify the appropriate data sets and data representation by feature engineering methods.
  • Perform statistical analytics and fine tune results.
  • Train and retrain the modeling when necessary.
  • Extend and reuse the existing solution or ML libraries and framework.


Skills You'll Need

  • MSc or BSc graduate in Computer Science, Statistics/Mathematics, or a related field is required.
  • A minimum of 3 years relevant work experiences in machine learning, AI and BI domain. Those with more years will be considered for the senior role.
  • Solid hands-on experience in AI programming, ML modelling, statistical methods used in data sciences and emerging technologies.
  • Strong working knowledge of Python/R, SQL, Big Data and Cloud computing technologies.
  • Development experience in microservices/containers, API development and middleware in data extraction.
  • Proficiency in machine learning framework such as sklearn, Tensorflow, Keras etc.
  • Technical skills in various BI platforms, Big Data platforms like Hadoop/Spark, NoSQL etc.
  • Familiarity in developing dashboards/reports via BI visualization tools like Power BI etc.
  • Good in understanding business requirements and interested in driving practical outcomes.
  • Familiarity with Talend as an ETL tools for data integration.
  • Familiarity with AutoML will be a value added.
  • Proficiency in DevOps process and tools (Eg. Jira or Azure DevOps) will be value added.
  • Strong communication and collaboration skills to work with people from a variety of business and technical background.
  • Good time management and team player.
  • Experience in FMCG industry will be an added advantage.