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UEM Edgenta

Data Scientist (Kuala Lumpur)

UEM Edgenta Kuala Lumpur, Kuala Lumpur, Malaysia

Civil Engineering · 10,001+ employees

7 h ago
data-scientist Mid (2-5 yrs) Full-time Malaysia
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About the role

Analyze complex datasets to identify business opportunities and develop statistical models and machine learning algorithms. Collaborate with stakeholders to translate technical findings into actionable business recommendations and ensure effective solution deployment.

What they look for

Python SQL Statistical modeling Machine learning Data analysis Data visualization Predictive modeling Anomaly detection Data cleaning Data validation Generative AI Analytical thinking Problem-solving Communication skills Cloud-based analytics

Requirements

Requires a Bachelor's degree in a quantitative discipline and at least 2 years of relevant experience in data science or analytics. Candidates must be proficient in Python and SQL with strong analytical and communication skills.

Full description

Responsibilities

  • Analyse large and complex datasets to identify trends, patterns, correlations and business opportunities. Translate analytical findings into actionable insights and recommendations to support business decision-making.
  • Develop, evaluate and optimise statistical models and machine learning algorithms for forecasting, classification, prediction, segmentation and anomaly detection based on business requirements.
  • Explore and develop appropriate AI and advanced analytics solutions, including generative AI applications where relevant, to address business challenges, improve productivity and enhance organisational capabilities.
  • Extract, clean, transform and validate data from multiple sources using appropriate tools and programming techniques. Ensure data quality, consistency and suitability for analysis and model development.
  • Evaluate model accuracy, reliability and business relevance. Collaborate with data engineering, IT and relevant stakeholders to support solution deployment, performance monitoring and continuous improvement.
  • Work with business stakeholders to understand requirements, define analytical approaches and communicate findings through reports, visualisations and presentations. Translate complex technical concepts into clear business recommendations.
  • Keep abreast of developments in data science, machine learning and AI. Identify opportunities to improve analytical methodologies, adopt relevant technologies and promote responsible, secure and effective use of data-driven solutions.

Requirements

  • Bachelor's Degree in Data Science, Statistics, Computer Science, Mathematics, Artificial Intelligence or a related quantitative discipline from a recognised institution.
  • Minimum 2 years of relevant experience in data science, data analytics, statistical modelling or machine learning.
  • Proficient in Python and SQL, with a good understanding of statistical methods, data manipulation, machine learning algorithms and model evaluation. Experience with data visualisation tools, cloud-based analytics platforms or machine learning deployment practices will be an advantage.
  • Strong analytical thinking, problem-solving and communication skills, with the ability to translate business problems into analytical solutions, manage multiple priorities and collaborate effectively with technical and non-technical stakeholders.

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