Bi data scientist

Role Purpose

As a data scientist, you will play a key role in leveraging data to drive insights, inform decision‑making, and enhance our life and non‑life insurance operations. You will work closely with cross‑functional teams to develop innovative data‑driven solutions that address business challenges and improve overall performance.

Requirements

Bachelors degree/diploma in one of the following fields: Informatics, Computer Science, Statistics, Mathematics or Information Technology

Proven experience working as a data scientist or in a similar role, preferably in the life and non‑life insurance industry

Proficiency in programming languages such as Python, R, or Java, as well as in data analysis and machine learning libraries (Tensor Flow, Py Torch, scikit‑learn)

At least 4 years working experience in the following:

Power BI (essential)

Azure Data Factories (essential)

Azure Synapse Analytics (essential)

Python / R, C++, C#, Java (critical)

Microsoft SQL Server (critical)

T‑SQL (critical)

Effective communication skills, with the ability to collaborate with cross‑functional teams and present complex ideas clearly and concisely

Strong understanding of statistical concepts, data modelling techniques, and experimental design principles

Duties and Responsibilities

Participate in the analysis, design, development, troubleshooting and support of the reporting and analytics platform

Analyze complex datasets to identify trends, patterns, and correlations

Generate and test working hypotheses and interpret results to provide actionable insights

Develop, implement and validate machine learning algorithms and statistical models

Build and operationalize predictive models to unearth hidden insights

Collaborate with actuaries, underwriters, and other stakeholders to integrate data science solutions into existing workflows and processes

Develop BI solutions using SQL, ETL scripting, business intelligence tools, database programming and reporting tools on the Microsoft BI Stack

Build scalable data pipelines and infrastructure for collecting, processing, and analyzing large volumes of structured and unstructured data

Automation of recurring processes and monitoring thereof

Must have prior experience developing business intelligence solutions in large or midsize companies

Must be able to manage multiple tasks simultaneously and react to problems quickly

Must have extensive experience with T‑SQL

Must be able to develop, maintain, review, and explain predictive models

Understanding of the financial services industry desired, especially Insurance

Experience using data visualization tools, e.g., Power BI

Excellent problem‑solving skills and the ability to translate business requirements into actionable insights

Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (e.g., AWS, Azure, Google Cloud Platform)

Competencies

Business acumen

Analytical

Good communication skills #J-18808-Ljbffr