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Equifax

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3.3

based on 205 Reviews

76 Equifax Jobs

Data Scientist - Chapter Champion

Equifax Credit Information Services Private Limited

3.3

based on 205 Reviews

7-10 years

Pune

1 vacancy

Data Scientist - Chapter Champion

Equifax

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Python Healthcare Machine Learning Analytical Chemistry MS Office

+ 2 more

Job Description

Reporting to the A/NZ DSE Chapter Manager India PEC within Decision Sciences & Engineering, this role will own and be responsible for the data science chapter in India PEC.

As the leader for the Data Science India PEC team, you will be directly managing the work of scientists as well as working alongside other chapters and teams within Decision Sciences & Engineering (DSE) and Technology, across India PEC, Australia and New Zealand. You will have a dotted line into the Data Science A/NZ Chapter lead to ensure there is consistency in the practices that are used to enable A/NZ outcomes.

The Data Scientist is responsible for the delivery of innovative decision science models and attributes that leverage Equifax s vast data assets. These include decision areas covering the credit lifecycle, geodemographic and marketing attributes, ratings and fraud models, as well as any new areas where data driven decision making can be informed by predictive modelling.

Responsible for project management, defining business and technical requirements, resource planning and analytic solution design and innovation in a big data environment, as well quality control of analytical output.

What you ll do:

Leadership: Build and manage a high-performing, diverse team, fostering a culture of inclusion and growth. Role model Equifax values and leadership principles.
Communication and Influence: Demonstrate strong communication and collaboration skills. Influence stakeholders and provide strategic direction.
Resource and Skills Management: Strategically manage resources and skills to meet business needs. Mitigate risks and address skill gaps.
Standards and Best Practices: Uphold and develop data science standards. Build team capability and minimize key person risk.
Project Leadership/Mentoring: Lead and mentor team members.
Data Analysis: Lead and perform data analysis, ensuring quality and adherence to standards.
Product and Service: Contribute to product development and innovation.
Process Improvement: Drive process improvement and make data-driven recommendations.

What experience you need:

BS degree in a STEM major or equivalent discipline; Master s Degree strongly preferred
Qualified in at least one of the following: Statistics, Econometrics, Mathematics, Finance, Marketing, Risk, Computer Science, Engineering or other numerate field.
7-10 years of experience in a related role, with experience demonstrating leadership capabilities
Proven track record of designing and developing predictive models in real-world applications
Strong communicator & presenter, bringing everyone on the journey.
Ability to understand client industry issues and business environment to scope and deliver appropriate solutions
Strong people management, team leadership and project management skills with the ability to manage multiple deadlines and budgets
Flexibility to effectively manage changing schedules and priorities and to able to work independently with minimal supervision
Good written and verbal communication skills, ability to present complex information simply and directly.
Experience in most MS Office or Gsuite applications, analysis and visualisation software e.g. Tableau, Python, R, Matlab, Google Cloud or any equivalent platform
Proficiency in Python programming notably in the area of Machine learning and Deep learning and visualisation libraries.

What could set you apart:

Self-starter that identifies/responds to priority shifts with minimal supervision.
Strong communication and presentation skills
Strong leadership qualities
Demonstrated problem solving skills and the ability to resolve conflicts
Experience creating and maintaining product and software roadmaps
Experience overseeing yearly as well as product/project budgets
Working in a highly regulated environment