senior data scientist in Kuala Lumpur

posted
contact
jonathan sia, randstad
job type
permanent
salary
RM 10,000 - RM 15,000 per month

job details

posted
location
kuala lumpur, wilayah persekutuan
specialism
information technology
job type
permanent
working hours
Full-Time
salary
RM 10,000 - RM 15,000 per month
experience
5 years
reference number
91M0151920_1610359106
contact
jonathan sia, randstad
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job description

about the company
We are looking for Senior Data Scientist for one of the leading insurance company globally.

Reporting to: Data Scientist Lead
• Company Size: 100 and above
• Regions covered: Malaysia
• Excellent remuneration package

about the job
• Working with Head of Strategy Innovation and Data Scientist Lead and involve in consulting, designing, developing, maintaining and research latest data science solution for the business.
• Hands on experience which include data extraction, enhancement and data manipulation.
• Conducting research on technologies related to the field.
• Data mining techniques to produce visualisations dashboards via tableau to keep track of key business matrics.
• Familiar in building predictive models for sales, operations and forecasting.
• Have at least 5 years of experience in data analytics.
• Proven ability of strong analytical skills.
• Excellent presentation skills. Ability to communicate, present and influence all levels of the organization

To apply online, please click on the appropriate link. Alternatively, please send your resume to jonathan.s@randstad.com.my (with subject title: Senior Data Scientist or call Jonathan at 0138168988 if you are interested with the job)

Jonathan
Manager | Technology (Cyber Security)




skills

Python, data extraction, visualisations dashboards, analyse data, Actuarial, analytics

qualification

Possess a Degree in Computer Science or related to actuarial, Mathematics.
Preferably someone experience in insurance or banking industry.
Have experience in data mining and presentation in tableau.

responsibilities

Handle Data analytics, enhancement and manipulation of big datasets.
Handle presentation to multiple stakeholders.
Support digital projects.
Collaborate with business across underwriting units to ensure successful execution of analytics services.

educational requirements

Bachelor Degree