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Data Scientist

1 month ago

Bengaluru, India AXA Full time

About AXA
As one of the largest global insurers, our purpose is to act for human progress by protecting what matters .
Protection has always been at the core of our business, helping individuals, businesses and societies to thrive. And AXA has always been a leader, an innovator, an entrepreneurial company, fostering progress in all its dimensions. Our purpose also links back to the Group‘s roots. From the outset, AXA has been committed to acting as a force for collective good. From solidarity-based actions with AXA Hearts In Action to work on prevention issues with the AXA Research Fund and the fight against climate change, AXA has always been attentive to its social environment and embraced its responsibility as an insurer: responsibility for taking action upstream in order to better understand risks, with one goal in mind: to ensure better protection.

Our values reflect the culture that the Group’s teams around the world live and express each day. The strength of AXA’s company culture and its outstanding managerial continuity over more than 40 years can also be seen in the proximity of its values across the various periods. Courage, Integrity, One AXA and Customer First are the four core values adopted by the Group since 2016.

Our Vision is to transform AXA’s value proposition “from payer to partner” , by delivering new services complementing the traditional insurance coverage and by building new business models to increase the protection of our customers.

Key accountabilities:

As Data Scientist you will be accountable for:

Understand operational needs by collaborating with specialized teams.
Formalize needs into mathematical models and problems.
Explore databases (including very big databases, in tables or unstructured, including open ones) to mine patterns.
Choose relevant techniques and create data processing solutions for the identified needs.
Present and promote the solutions to the relevant communities and committees.
Implement and deliver solutions by contributing individually as well as leading teams
Manage and transmit knowledge through appropriate documentation and events (training courses, seminar, blog posts, etc.).

Technical and professional skills:

We are looking for a flexible, fast learning, technically strong data engineer. Expertise is required in the following fields:
Sound knowledge and practice of machine learning and experience in applying to business.
Strong programming skills (required: Python; appreciated: R, Java/ Scala).
Practice with a modern distributed computing framework (like Spark, Hadoop).
Extensive experience in data processing (e.g. data mining, social network analysis, text mining), including practice with database access (SQL, Hive, MongoDB, etc.), data visualization (e.g. Dash, Plotly, etc.).
Experience with AWS and other cloud services.
CI/CD deployment, Docker, etc. for deploying ML models into production.
Experience in Deep Learning, and its applications in the fields of Natural Language
Processing, Computer Vision, etc. is a strong plus.

Soft skills and competencies:

Good communication skills to coordinate between business stakeholders & engineers
Strong results-orientation and time management
True team player who is comfortable working in a global team
Ability to establish relationships with stakeholders quickly in order to collaborate on use cases
Autonomy, curiosity and innovation capability
Comfortable working in a multidisciplinary team within a fast-paced environment
Strong leadership skills to build and grow team and expand into newer applications

Background and experience:

8 to 10 Years of hands-on professional experience in machine learning, big data and artificial intelligence.

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