AI Python Developer

Tata Consultancy Services; Hong Kong; On-site; HKD 420,000 - 660,000; Full time

Job summary

Tata Consultancy Services (APAC) is seeking a role focused on data extraction and Python scripting to adapt and validate existing code for treaty workflow data. The role emphasizes accuracy, documentation, and collaboration with business reviewers and technical teams.

Candidates should be proficient in Mandarin and English, with experience handling PDFs, Excel, Word, ZIP files, and folder structures, and a willingness to learn reinsurance concepts and treaty workflows.

Qualifications

• Basic to intermediate Python scripting; ability to read and adapt existing Python recipe logic.
• Experience with handling PDF, Excel, Word, ZIP attachments and folder structures.
• Strong attention to detail to verify extracted data against source documents.
• Proficiency in Mandarin and English for documentation and stakeholder communication.

Responsibilities

• Review submission documents and outputs to understand extraction requirements and gaps.
• Adapt existing Python recipe logic to additional cases and variations.
• Create, test, replay and document assigned recipes for repeatable data extraction.
• Verify extracted data against source documents and flag inconsistencies for review.
• Record defects and data issues in a clear, actionable format.
• Support human‑in‑the‑loop validation and help convert validated logic into repeatable scripts.

Skills

Python scripting

Data extraction

Documentation

Mandarin proficiency

English proficiency

Reinsurance concepts

Validate data against sources

Tools

PDF

Excel

Word

ZIP files

Job description

Join Tata Consultancy Services, Asia Pacific and be part of an organization committed to sustainable development for our future. TCS follows the Tata group philosophy of building sustainable businesses that are rooted in the community and demonstrate care for the environment. Our unique values position us to combine a purpose-driven worldview with digital innovation, collaborating with customers, communities and governments to lead and shape innovative solutions for a sustainable future. TCS has been carbon neutral in its operations across 11 countries, 12 delivery centres and 18 offices in Asia Pacific since 2022. This is only the initial stage in TCS’ journey as we strive to achieve long‑term net zero emissions by 2030.

Corporate sustainability is embedded in our triple‑bottom‑line, focusing on people, the planet, and our purpose. Our offices are designed with eco‑friendly features that significantly reduce our carbon footprint and enhance energy efficiency. We actively champion green initiatives, such as promoting paperless operations, implementing energy‑efficient practices, and fostering employee engagement in sustainability efforts. When you become part of the TCS family, you will play an essential role dedicated to innovation, excellence, and crafting a brighter, greener future together. Join us and be a part of our mission to drive sustainability through technology and talent at Tata Consultancy Services, APAC today

Required Technical Skill Set

Python scripting, existing code adaptation, PDF, Excel, Word, email attachment, ZIP file and folder handling, data extraction validation, test and replay execution, documentation, defect tracking, human‑in‑the‑loop validation, repeatable script production, Mandarin proficiency and English proficiency

Desired Experience Range

Basic to intermediate Python scripting experience. Candidates must be able to read and adapt existing code. Experience with reinsurance concepts and treaty workflows is desirable but not mandatory.

Desired Competencies (Technical/Behavioral Competency)

Must‑Have

• Basic to intermediate Python scripting skills.
• Ability to read, understand and adapt existing Python recipe logic.
• Experience working with PDF, Excel, Word, email attachments, ZIP files and folder structures.
• Strong attention to detail when verifying extracted data against source documents.
• Ability to record defects, missing data, source‑file issues and logic gaps clearly and consistently.
• Proficiency in Mandarin and English for documentation, and stakeholder communication.
• Willingness to learn reinsurance concepts and treaty workflows.
• Able to support human‑in‑the‑loop validation and repeatable script production.

Good‑to‑Have

• Direct experience in reinsurance, treaty processing or insurance data workflows.
• Experience creating, testing, replaying and documenting data extraction recipes or scripts.
• Familiarity with structured defect logging, source‑file issue tracking and logic‑gap analysis.
• Strong documentation discipline and ability to produce clear, repeatable working notes.
• Comfortable working with business reviewers, technical teams and validation stakeholders.

Role descriptions / Expectations from the Role

• Review submission documents and Cold Agent outputs to understand extraction requirements and identify gaps.
• Adapt existing Python recipe logic to additional treaty cases and source‑document variations.
• Create, test, replay and document assigned recipes to support repeatable data extraction.
• Verify extracted data against source documents and flag inconsistencies for review.
• Record defects, missing data, source‑file issues and recipe logic gaps in a clear, actionable format.
• Support human‑in‑the‑loop validation and help convert validated logic into repeatable scripts.