- Ability to code & implement reusable Machine learning frameworks.
- Work with data engineers to source, analyse & engineer features , perform data augmentation.
- Ability to design and build an efficient data pipeline that can train, test & deploy high Quality models into production to run at scale.
- B.Tech/B.E/MCA or Mtech in Computer science/electronics/electrical engineering/Statistics tier 1 colleges/ universities.
- 4+ years of hands-on experience with Python and SQL (R is a plus)
- 4+ years of data science/analytics experience
- Experience with traditional Machine Learning
- Experience with Deep Learning (especially Computer Vision and/or Natural Language Processing)
- Well-developed analytical, logical and problem solving skills
- Advanced ability to perform exploratory data analysis, visualize data and answer business questions with data and analytics
- Familiarity with data management tools
- Working knowledge of Statistics and familiarity with common data science toolkits
- Excellent communication (written and oral) & technical writing skills
- Prior experience in P&C and L&H Insurance analytics (Claims, Pricing, Marketing)
- Professional software development experience including documentation and testing
- Working experience in containerized, cloud-based environments, especially Microsoft Azure
- Experience with developing and maintaining CI/CD pipelines
- Experience in designing, developing, deploying and operating scalable RESTful micro-services
- Knowledge and experience in DBMS technologies
- Knowledge and experience in Monitoring systems
- Knowledge on software architecture design principles
- Experience working in a cross-functional and distributed agile team
- Up to date knowledge on recent ML research topics and their applications
Full Stack Data Scientist - Pune, India - Allianz Services
Description
We are looking for data scientists who are excited to work on Machine Learning/Deep Learning projects. The ideal candidate will have good Machine Learning/Deep learning knowledge, and hands on experience solving complex real-world ML/DL problems. We want people who are excited to solve the hard problems, eager to work with a larger team of data scientists & engineers and ready to make business impact in areas related to Pricing, Claims, Sales, Marketing, Operations or any other ongoing research into the organisation.
Duties and Responsibilities:
The role may involve independent tasks or supporting senior team members as per project requirements
Keep up to speed with the latest industry & technology SOTA developments in machine learning/ Deep learning
Qualification, Experience, Technical and Functional Skills
Optional skills:
Key Competencies
Sound quantitative and logical aptitude.
Self-motivated and organized, eager to learn and expand his/her knowledge
Key technical skills: Mentioned above. Especially – Python, Machine learning & Deep Learning