AXA Business Services - Data Scientist/Senior Data Scientist - Data Innovation Lab

About AXA Business Services :

- The AXA Group, a worldwide leader in Insurance and Asset Management, supports and advises its customers, individuals and businesses at every stage of their lives by meeting their needs for products and insurance, pension, savings and wealth transmission.

- Our expertise is expressed through a range of products and services tailored to each client in three major areas -Property & casualty insurance, life & health insurance and asset management. Present in 59 countries, 161,000

- AXA employees are committed to serve 103 million customers.

- Created in January 2014, the Data Innovation Lab (DIL) acts for the Group as a business-focused center of expertise on data analytics to foster R&D for AXA's offers and services. The DIL supports AXA entities- big data projects by acting as an accelerator to carry out pilots and drives the creation of technological platforms to ease the operational roll-out. We have gathered both the latest data science tools and a team of experts in innovation, data and data science.

- The DIL's key mission is to help AXA entities become data-driven companies by contributing to build technological platforms, acting as a technological hub that explores technological opportunities for the insurance business.

- Its approach for supporting entities projects relies on 4 principles - Entrepreneurial spirit, Fail fast, Agile and Learning by doing

- Do you want to join a changing group, to have access to a significant amount of rich data and to be an actor of innovation within AXA - We strengthen the team and we are looking for a Senior Data Scientist

- Directly reporting to the Chief Data Scientist who plays a crucial role in embodying the data science for the Group, in contributing to promote data science topics through the whole entities, helping entities in integrating data science in their organization (developing activities and attracting / hiring people) and creating / animating the Group AXA data scientist network to ensure a global strategy and approach consistency.

- As Senior Data Scientist, your main mission will be to provide your deep technical expertise both to shape the data strategy of the company and to provide actual solutions to business challenges faced currently by operational entities in the field of customer processes, business processes and new services.

Contribute to the data strategy of the company :

- Build and promote data strategic assets for the business - Marketing, products, services and tools

- Maintain and evolve the part of the innovation process linked to the data science activity

- Put in place the metrics and the dashboards for data science activity to give visibility

- Promote and evolves the innovation process within the Data Science community

- Link business needs to technical solutions

Business Modeling :

- Understand operational needs (actuarial, marketing, usage ) 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 find correlations and relations

Problem solving :

- By leveraging adequate problem formalization, propose theoretical solutions based on available tools

- Choose relevant techniques and create data processing solutions for the identified needs

- Present and promote the solutions to the relevant communities and committees

- Manage and transmit knowledge through appropriate documentation and events (training courses, seminar, blog posts, etc.)

Candidate's Profile :

Technical and soft skills :

- Strong scientific education (engineering school, PhD), ideally professional experience in research (fundamental or applied)

- Ability to model the reality of business into equations, and to understand the implications and limitations of a model

- Very good programming skills (ideally Python or similar; appreciated: R, Java / Scala, Javascript / AngularJS / Meteor / React )

- Strong experience in data processing (e.g. data mining, social network analysis, text mining). Practice with database access (SQL; optionally Pig and Hive), including NoSQL databases (e.g. MongoDB, CouchDB, JSON files )

- Practice with data visualization (eg. Matplotlib, plot.ly, C3.js, Dataiku, Tableau, Highcharts, etc.)

- Good knowledge and practice of machine learning, including libraries (e.g. scikit-learn, Spark MLlib, R packages)

- Professional experience in machine learning applied to business is a plus

- Practice with a modern distributed computing framework (like Spark)

- Appreciated practice with tools like git, Kafka, Redis, Riak, etc.

- Autonomy, curiosity and innovation capability

- Good relationship / communication skills

- English - Fluent in speaking and writing- mandatory

- Ability to work in a multi-disciplinary team, on complex projects that involve many different stakeholders

- Business oriented

- Customer oriented

- Results focused

- Able to bring a disruptive and innovative mindset

Experience :

- 5 to 10 years of strong professional experience as a researcher in a research center or in a university laboratory, or as a R&D team member in an innovating company

- Work experience in an international environment is a plus