Senior Data Scientist
Sedgwick Open At a glance
Senior Data Science role at Sedgwick. Kuala Lumpur · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Build, release and monitor machine-learning models that improve claims handling, customer experience and quality assurance
- Explore complex data for useful patterns, then explain what you find through clear reports and presentations
- Shape technical approaches for data science projects and develop proofs of concept with estimated commercial value
- Turn leaders’ questions into experiments that test hypotheses and support better decisions
- Review code and mentor junior colleagues, while maintaining team reports in PBI and SSRS
What you bring
- A tertiary qualification in a relevant area, such as data science or computer science
- Practical experience with data analysis, statistical modelling and machine learning
- Proficiency in Python, R or SQL, plus experience using machine-learning frameworks and visualization tools
Who this fits
This senior role suits someone who can work across technical and non-technical teams, communicate findings clearly and guide junior colleagues. The position is based in Kuala Lumpur, Malaysia.
From the employer
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 ScientistAs 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
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