About the Role
This is an exciting opportunity for a developing data science professional to gain hands-on experience in analytical problem-solving, tool development, and business process improvement while contributing to innovative, practical solutions. As an early-career data professional, you will support countries across India, the Middle East, and Africa by helping transform processes, improve tools, and deliver data-driven solutions. You’ll work with colleagues across geographies and gain exposure to data science, AI, visualization, and business analytics in a dynamic, collaborative environment.
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Key Responsibilities
- Explore and understand business needs and nuances across different teams and functions.
- Extract, analyze, and model data using analytical tools and techniques to improve business processes and create value.
- Support the development of tools and solutions using Python, AI, Power Apps, Power BI, and Power Automate.
- Assist in building and delivering end-to-end analytical tools and automation solutions.
- Apply problem-solving skills to understand business requirements and evaluate potential solution approaches.
- Demonstrate strong attention to detail in all analysis and deliverables.
- Support the use of AI tools, including Claude Co-work, and help train others when needed.
- Collaborate with stakeholders and support reporting and communication requirements.
- Continuously learn about the business unit and the wider insurance industry.
What We’re Looking For
- 0–2 years of experience in data science, analytics, or related areas.
- Strong technical understanding of data extraction from different types of documents.
- Intermediate Microsoft Excel skills.
- Hands-on experience with Python, including Python Streamlit.
- Understanding of NLP techniques and pipelines.
- Fundamental knowledge of LLMs.
- Strong Microsoft Office skills.
- Good verbal and written communication skills.
- Strong problem-solving ability and a proactive, curious mindset.
- Ability to build stakeholder management and reporting skills over time.
Nice to Have
- Exposure to AI tools, automation platforms, or dashboarding tools such as Power BI.
- Experience working on end-to-end tool development or analytical delivery.
- Interest in business transformation, process improvement, and innovation.
Benefits and Work Environment
- Embrace a diverse, inclusive, and flexible work environment.
- Committed to hybrid work, which includes the flexibility of working remotely as well as collaborating in the office.
- Expected to be in the local office or working onsite with clients at least three days per week, with an identified “anchor day” for team collaboration.
