Talent500 is hiring for one of its clients.

Who are we

Core Insurance Platforms (CIP) is Zurich’s global capability responsible for building, running, and evolving core insurance technology. We set a unified, scalable operating model—covering governance, standards, architecture, service delivery, and reuse—so our business units can deliver at speed and scale.

CIP is the strategic steward of Zurich’s Guidewire ecosystem, aligning platform roadmaps to business strategy while driving stability, modernization, reduced supplier dependency, and long term cost efficiency.

India delivery center is one of our global delivery and capability hub. We bring together experts in AI, engineering, analysis, quality, and architecture to deliver product & process solutions, application run services, change and transformation initiatives, and centralized platform services across both on prem and Guidewire Cloud environments. Our teams operate from multiple global delivery centers, supporting Zurich’s business units worldwide.

As a Data Scientist, your main tasks will involve:

Understand business problems and structure analytical approaches to solve them.

Generate proof of concepts from data that help deliver improved business results.

Prepare and pre-process datasets needed to deliver analytical solutions.

Generate distinctive risk insights that deliver improved business results.

Build and implement predictive models and other analytical solutions using both structured and unstructured data.

Collaborate with Data Engineers, ML/AI Ops, and IT teams to deploy models into production environments and monitor models performance.

Support communication of findings, implications, and performance of the models to business stakeholders. AI-related expectations (in line with Zurich’s AI-first approach):

Use AI-enabled tools and platforms, where available, across the data science lifecycle (for example, for data exploration, feature engineering, model experimentation, documentation support, and performance monitoring), while maintaining full accountability for the quality and robustness of models.

Identify opportunities to redesign analytical workflows using automation, AI agents and generative AI, with a focus on reducing manual work and accelerating experimentation and deployment.





Collaborate with stakeholders to ensure that AI and ML solutions follow Zurich’s responsible AI principles, including transparency, fairness, robustness and appropriate human oversight. Your Skills and Experience:

As a Data Scientist, your skills and experience will ideally include:

University education (Bachelor’s degree or higher).

Ideal for fresh graduates or students finishing their degree.

Working knowledge of Python and basic data science packages.

Passion working with data and developing insights for use in business decisions.

Strong problem-solving and analytical skills from the following:

Advanced knowledge of statistical and predictive modeling techniques such as machine learning models (GBM, Random Forest etc.), decision trees, probability networks, association rules, clustering, regression, GLMs, SVMs, HMMs, time series, survival analysis, and neural networks and their application to business decisions.

Use state-of-the-art deep learning approaches (e.g. CNN, transformer, RNN/LSTM/GRU, GCN/GNN) to extract value from massive amounts of unstructured data (text, images).

Advanced knowledge of fine-tuning (e.g. PEFT, LoRA, RLHF) and customizing large language models (e.g. GPT, BERT, Flan-T5, Llama, Dolly, BART), embedding approaches (e.g. Word2Vec, t-SNE), prompt engineering, and vectorization.

Strong verbal and written communication skills, especially the ability to translate technical results for business audiences.

English – B2 or better.

Experience with Azure and Databricks is an advantage.

Experience with SQL and other programming languages is an advantage.

Prior work experience in insurance is a plus AI-related skills and mindset:

Experience or explicit interest in using AI-supported tools (e.g. for data exploration, notebook assistance, code generation, experiment tracking or documentation) as part of day-to-day data science work.

Ability to critically assess, validate and refine AI-generated outputs (code, analyses, content) so they meet Zurich’s standards for quality,



security and compliance.

Curious and proactive mindset towards learning new AI capabilities, experimenting safely, and sharing best practices that improve efficiency, insight generation and model performance across the team.

Candidate Data Privacy

Notice

Applicability of This Notice This job posting relates to opportunities with Zurich Digital International Private Ltd. (“Zurich”) and is published with the support of ANSR Inc., (“ANSR”) an authorised recruitment service provider engaged by Zurich for its hiring activities.

Participation in the Recruitment Process : When you apply for this role, personal data provided as part of your application (such as your name, email address, contact details, address, financial information, background information, medical history, and details of previous employers/employment) is collected for the purposes of recruitment and selection and may be reviewed by Zurich, and transferred/disclosed to Zurich’s affiliates, subsidiaries, and related entities and ANSR (“Transferees”), solely for recruitment and selection purposes (in accordance with their respective privacy policies). The Transferees maintain at least the same level of protection for your data as maintained by Zurich, and do not further transfer/disclose/share or publish your data.

For information on how your personal data is processed by ANSR, including your rights and how to contact the relevant data protection office.

You understand and acknowledge: You have the option not to provide your data (in which case we may not be able to process your application);

You have the option to review, correct/amend your data;

You have the option to withdraw your consent from processing your data;

Your data is retained until the purpose for its collection is served; and

Zurich uses reasonable security measures to help protect against the unauthorized access, loss, misuse and alteration of the personal information under our control. However, no method of transmission over the internet, or method of electronic storage, is completely secure. By submitting your interest in any of our vacancies, you consent to the collection, storage, transfer, disclosure, and processing of your personal information and/or sensitive personal data or information.

📌 Senior Data Scientist-28241] (Hyderabad)
🏢 Talent500
📍 Hyderabad