Job Description

The primary purpose of this role is to

derive business value from data

. As a Data Scientist, you will proactively fetch, analyze, and store information from multiple sources. Your work will involve performing

sophisticated statistical analysis

, creating actionable insights, and communicating findings effectively across both technical and non-technical teams.



This role involves:

Expanding internal or external database structures. Using advanced analytics techniques (including machine learning where applicable). Communicating results and methodologies to internal stakeholders and possibly external clients.
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Core Responsibilities

Clean and prepare data using data wrangling techniques. Conduct in-depth statistical and mathematical analysis. Use

Python, SQL, and R

for data modelling and predictive analysis. Apply data visualisation tools (e.g., Power BI) to share insights. Store and manage structured data in appropriate environments (internal/cloud-based). Ensure data version control and auditing. Validate data from multiple sources, including files, databases, and online platforms. Perform geospatial analysis and business requirement documentation. Understand and model insurance-related processes and reinsurance treaties (if relevant to project)*.

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Requirements

Bachelor's degree

in a science or engineering field with a strong focus on computer science, statistics, mathematics, or actuarial sciences.

Proficiency in Python, SQL, and R

is essential. Experience with data modelling, cloud/web infrastructure, and software infrastructure building. Familiarity with version control and regulatory standards for personal data. 3-5 years in a data science, data warehousing, or modelling environment. Familiarity with insurance industry data and actuarial principles is a plus. Spark, Azure, and web deployment experience are advantageous.

Technical Stack

Languages:

Python, SQL, R (beneficial: C#, C++, .Net, JavaScript)*

Tools:

Power BI, Spark, Azure

Practices:

Data validation, version control, statistical modelling, web app deployment
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Benefits

What's on Offer

Work with a dynamic and forward-thinking organization committed to innovation. Competitive salary and performance-based incentives. Flexible work options - hybrid Continuous learning opportunities and professional development support.


If you're ready to join a team where data drives impact and innovation, submit your application now. Be part of something that matters.


Bachelor's degree in a science or engineering field with a strong focus on computer science, statistics, mathematics, or actuarial sciences.
Proficiency in Python, SQL, and R is essential.