Superior and unrivalled support for our LPG customers. This covers areas of installations and conversions, safety audits on your premises, bespoke LPG solutions to fit your requirements and give best value, maintenance and support to ensure all runs smoothly.

Requirements

Must have skills

• Strong problem solving skills
• Project management skills
• Good analytical skills
• Excellent planning and organization skills
• Attention to details
• Strong team player with the ability to work independently
• Good communication skills
• Self-motivated and able to work under pressure in a fast paced environment
• Flexible

Qualifications

• A bachelor’s degree in computer science, statistics, data science or equivalent qualification.
• A master’s degree in computer science, statistics or data science is an added advantage.
• Proven prior experience of 3 years in the same role.
• Proficiency in programming languages such as Python or R, data manipulation tools, statistical modeling techniques, and machine learning algorithms.
• Knowledge of data visualization tools and techniques (e.g., Matplotlib, Tableau, R shiny)
• Solid understanding of databases and SQL for data extraction and manipulation.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and distributed computing is advantageous.
• Experience with big data technologies (e.g., Hadoop, Spark).
• Certificate of good conduct.

Job Role

• Data analysis: Apply statistical and analytical techniques to explore and analyze complex data sets, identifying patterns, trends, and correlations.
• Model development: Develop predictive models, machine learning algorithms, and statistical models to solve specific business problems or make accurate predictions.
• Data preprocessing: Clean, transform, and preprocess data to ensure data quality and compatibility with analysis and modeling techniques.
• Data visualization: Create clear and visually appealing data visualizations and reports to communicate complex findings to non-technical stakeholders effectively.
• Collaborative problem-solving: Work closely with cross-functional teams and internal domain experts to understand business challenges and develop data-driven solutions.
• Experiment design and hypothesis testing: Design experiments and conduct hypothesis testing to validate assumptions and assess the impact of different factors on outcomes.
• Data storytelling: Translate technical findings into actionable insights and compelling narratives that drive business decisions and strategy.
• Algorithm selection and optimization: Identify the most suitable algorithms and techniques for specific data analysis tasks and optimize them for efficiency and accuracy.
• Continuous learning and improvement: Stay up to date with the latest data science tools, techniques, and methodologies. Continuously improve skills through self-learning, training, and collaboration with peers.
• Perform any other duty(ies) as will be assigned from time to time by the supervisor or management.