Sedgwick

Senior Data Scientist

Kuala Lumpur

Open 3 months, first seen by us 90 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Design, deploy and monitor machine learning models in production
Analyze large, complex datasets and present findings through data storytelling
Lead technical solution design for data science initiatives
Mentor junior team members and review their code
Build predictive models for claims, customer experience and quality assurance

From the employer’s posting

Design, deploy and monitor machine learning models in production environments.

Analyze large and complex datasets to uncover trends, patterns and insights, with data storytelling

Lead technical solution design for data science initiatives

Provide technical mentoring and code reviews for junior team members.

Develop and implement predictive models to enhance claim management, customer experience, quality assurance and other aspects of the business

What you’ll bring

All qualifications

Core experience

Proven experience in data analysis, statistical modelling and machine learning
Proficiency in Python, R and SQL
Experience with ML frameworks such as scikit-learn, TensorFlow, Keras or time series
Tertiary qualification in a relevant field such as data science or computer science
Excellent communication skills with technical and non-technical stakeholders

Qualification wording

Proven experience in data analysis, statistical modelling and machine learning

Proficiency in programming languages such as Python, R and SQL

Experience with machine learning frameworks (scikit-learn, tensorflow, keras, time series etc)

Tertiary qualification in relevant field (e.g. Data Science, Computer Science)

Excellent communication skills, being able to effectively collaborate with both technical and non-technical stakeholders

Apply at Sedgwick

Posting record

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Open 3 monthsWe first saw this posting 90 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Aug 6, 202690 days ago
Recorded sightings: 185
Last seen by us: Nov 4, 2026
Employer says posted: Jul 22, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 90

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 10,000 similar postings that came down. Coming down is not always a hire.

Sedgwick is hiring

13 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up
Takes jobs down at a usual pace
8% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
R
SQL
SSRS
Keras
Matplotlib
Plotly
scikit-learn
TensorFlow

Where the posting names them

- Proven experience in data analysis, statistical modelling and machine learning - Proficiency in programming languages such as Python, R and SQL - Experience with machine learning frameworks (scikit-learn, tensorflow, keras, time series etc)

- Assist the team in raising awareness to Data Science and Advanced Analytics throughout the business, showcasing they might benefit from it - Support the reporting function of the team by building and maintaining reports in PBI and SSRS, and responding to requests for data Person Specification:

- Proficiency in programming languages such as Python, R and SQL - Experience with machine learning frameworks (scikit-learn, tensorflow, keras, time series etc) - Experience with visualization tools (ggplot, plotly, matplotlib, seaborn, etc))

- Experience with machine learning frameworks (scikit-learn, tensorflow, keras, time series etc) - Experience with visualization tools (ggplot, plotly, matplotlib, seaborn, etc)) - Strong problem solving skills and the ability to think critically and creatively

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Your next step

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Has Sedgwick posted this job before?

Yes. We’ve followed one other Senior Data Scientist job there since October 2026. It came down after 21 days.

This jobUp 91 days so far, first seen Aug 6
Place not statedCame down after 21 days, first seen Oct 2

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.

Senior Data Scientist

As a Senior Data Scientist, you will play a critical role in developing and implementing data-driven solutions to support various functions across the company. You will collaborate with cross-functional teams to analyze complex datasets, build predictive models, and provide actionable insights that drive business strategy and operations.

Provide technical mentoring and code reviews for junior team members.
Design, deploy and monitor machine learning models in production environments.
Analyze large and complex datasets to uncover trends, patterns and insights, with data storytelling
Lead technical solution design for data science initiatives
Support data science POC and use case development, with commercial business value estimation
Develop and implement predictive models to enhance claim management, customer experience, quality assurance and other aspects of the business
Collaborate with leaders and other stakeholders to understand business needs and deliver data-driven solutions
Liaise with the leadership team on translating general enquires into experimental designs to test hypotheses and improve decision-making processes
Communicate findings and recommendations to non-technical stakeholders through clear and concise reports and presentations
Stay current with the latest advancements in data science, machine learning and general tech trends that would be applicable in Insurance
Ensure adherence to good practices and maintain thorough documentation throughout the projects lifecycle
Assist the team in raising awareness to Data Science and Advanced Analytics throughout the business, showcasing they might benefit from it
Support the reporting function of the team by building and maintaining reports in PBI and SSRS, and responding to requests for data

Person Specification:

Tertiary qualification in relevant field (e.g. Data Science, Computer Science)
Proven experience in data analysis, statistical modelling and machine learning
Proficiency in programming languages such as Python, R and SQL
Experience with machine learning frameworks (scikit-learn, tensorflow, keras, time series etc)
Experience with visualization tools (ggplot, plotly, matplotlib, seaborn, etc))
Strong problem solving skills and the ability to think critically and creatively
Excellent communication skills, being able to effectively collaborate with both technical and non-technical stakeholders
Knowledge of best practice
Attention to detail

Source details

View original posting ↗

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