Data Scientist

Role:

Shift Timings:

Location:

Summary:

Job synopsis:

As a Data Scientist, you will develop and present analytics to support decision-making for the business, internal

stakeholders, and leadership. Your responsibilities will include predictive modelling, managing large datasets and

creating visually appealing, insightful presentations and reports that effectively communicate information to

diverse audiences. Additionally, you will collect, analyse, and interpret complex data to gain insights and assist with

informed business decisions.

Principal Duties/Responsibilities:

• Gain a comprehensive understanding of the process and data flow.

• Acquire in-depth knowledge of the reports provided by GB Outsourcing.

• Create analytics and reports for insurers to enable strategic decision-making based on various facts, figures, and trends.

• Develop analytics for internal stakeholders and provide regular feedback.

• Work with the business to develop new products and evaluate their impact. Additionally, collaborate with stakeholders to understand their needs and provide data-driven insights to inform decision-making.

• Translate analytical insights into strategic recommendations and effectively communicate them to both technical and non-technical stakeholders.

• Adapt to a fast-changing environment, switching priorities as needed while producing high-quality and accurate reports.

• Innovate by proposing and implementing ideas for new reports and process simplification

Qualifications

• Tech (coding) Graduate or Post-Graduate in Data Science

Experience

• 2-3 years of experience in analytics profile with working knowledge to predictive analytics preferably

Technical Competencies:

• Experience in SQL, R, Python, with VBA optional

• Working knowledge on capabilities of Gen AI

• Background in Computer Science & Statistics preferred.

• Data Analysis and Interpretation

Skills: • Impactful written and verbal communication • Strong team player • Business acumen • Problem-solving, quantitative, and analytical skills • Logical thinking • Highly self-driven in managing your own portfolio and assigned responsibilities with accuracy. • Technical competency to do complex work independently. • Ability to prioritize tasks and meet project deadlines