InsuranceDekho - Lead - Data Science

About the Company :

Launched in 2016, InsuranceDekho is India's leading Insurtech startup by Girnar Insurance Brokers Private Limited (Cardekho group). It enables its consumers to compare different insurance policies based on their requirements and offer them the best choices available as per their needs. In FY 2022, InsuranceDekho sourced 1000 crore premium and also sold 1MM policies in the last 9 months. The company currently has tie-ups with 43+ insurance companies.

At present, it has a partner presence in 1200 + cities and covers more than 93% pin codes across India. Over the last few months, InsuranceDekho has built an impressive partner ecosystem with more than 40,000 advisors across India and plans to onboard 1 million advisors by FY25 and has offices in Gurgaon, Pune, Chandigarh, Ludhiana, Jaipur, Kolkata, Chennai, and Bengaluru.

Awarded the "Best in Class Insurtech Startup" by Global Fintech awards 2022 (https://www.linkedin.com/feed/update/urn:li:activity:6978577348031836160), the company aims to become a partner of choice for consumers, insurance companies as well as partner intermediaries in the auto, health, life, pet and travel insurance domains.

We are also happy to announce that we have taken a giant leap forward and successfully raised $150 million in the biggest Series A funding round in South East Asia! It's a validation of our dream to reach every nook and corner of the country and provide a secure life to "Bharat"

Job Location: InsuranceDekho, Plot no.301, Phase-2, Udyog Vihar, Gurugram-122022, Haryana

Job Role:

1. Bachelor's or Master's degree in a relevant field (Computer Science, Data Science, or similar)

2. Minimum 4-6 years of industry experience in deep learning or related fields.

3. Proficient in programming languages commonly used in deep learning, such as Python and TensorFlow/PyTorch.

4. Developing and implementing successful deep learning models and algorithms.

5. Deploying and managing deep learning models in a cloud environment.

6. Expertise in Large Langauge Models (LLMs)

7. Strong knowledge of machine learning principles and techniques.

8. Proficiency in computer vision algorithms, including object detection and segmentation.

9. In-depth knowledge of NLP algorithms and architectures, such as BERT, Transformers, and LSTM models.

10. Experience with vector search techniques and similarity search algorithms