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Senior Data Scientist, Analytics

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Before you apply
Typefull-time
SenioritySenior
Experience5–7 yrs
DepartmentAdvanced Analytics
Company size10,000+ people
First seenOct 18, 2026 · 2w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Advanced Degree (PhD or Masters) in analytics or mathematic disciplines (e.g. analytics, statistics, mathematics, data science) required
5-7 years of experience in advanced analytics, business intelligence and implementation of analytics projects required
Advanced experience in SQL, SAS, R, Python, Tableau or other analytical tools required
Expertise in machine learning technique (neural nets, decision trees, regression, clustering, classification, etc)
Excellent written and verbal communication skills with demonstrated success in persuading cross functional business stakeholders to implement change required
Familiar with big data technology (e.g. Hadoop, Hive, Spark, etc) a plus
Experience in Insurance or Financial Services a plus
Skills
SQL
SAS
R
Python
Tableau
Hadoop
Hive
Spark
Job Purpose
Reporting to the Manager of Advanced Analytics, this role is responsible for the conceptualization, sourcing and implementation of analytics projects aimed at improving business performance through data driven insights.
The Job
•
Organize, analyse and interpret data to uncover patterns and trends and establish how these findings can help increase business value through making better informed decisions.
•
Support the implementation of advanced analytics projects aimed at improving business performance across distribution, underwriting, claims and customer service;
•
Maintain and enhance the existing advanced analytics models across the company to ensure models remain effective, updated and relevant to business objective.
•
Work closely with the Analytics Enablement Team to ensure adequate data infrastructure is in place to support the availability and efficient blending of traditional, unstructured and also third party data for various analytics projects;
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Collaborate with third party solutions providers to identify next generation analytics solutions through a series of proof of concepts (POC);
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Work closely with various business owners to operationalize successful POCs into daily operations;
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Build up an analytics knowledge repository with the aim of industrializing the use of effective advanced analytics models across the company.
Requirements
•
Advanced Degree (PhD or Masters) in analytics or mathematic disciplines (e.g. analytics, statistics, mathematics, data science) required;
•
5-7 years of experience in advanced analytics, business intelligence and implementation of analytics projects required;
•
Advanced experience in SQL, SAS, R, Python, Tableau or other analytical tools required;
•
Expertise in machine learning technique (neural nets, decision trees, regression, clustering, classification, etc)
•
Familiar with big data technology (e.g. Hadoop, Hive, Spark, etc) a plus;
•
Excellent written and verbal communication skills with demonstrated success in persuading cross functional business stakeholders to implement change required;
•
Experience in Insurance or Financial Services a plus.