Position Type :

Full time

Type Of Hire :

Experienced (relevant combo of work and education)

Education Desired :

Master’s Degree

Travel Percentage :

5 – 10%

Data Scientist Architect – Bangalore/Pune – 6 to 10 yrs

Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun. 
 

About the team 

  • This team working on cutting edge technology that may not have been used in the Organization prior.

  • A USP of the team is that it works on only open source technology stacks.

  • A close and extremely agile team steeped in research, the team cross trains to achieve levels of knowledge and efficiency that is generally career building.

  • A great project to contribute to an inhouse product that can get commercialized

What you will be doing:

  • 5 – 10 years in Data domain and experience with applying data science/quantitative modeling to real-world, financial use cases commonly deployed at Fintech Organizations

    • Building predictive and forecasting models using algorithms and the implementation of ML
      • Storytelling to non-technical staff or stakeholders using immersive data visualization techniques
      • Providing data-backed strategies and solutions to tackle business problem

  • Applies intellectual curiosity and deep analytical thinking to mine large datasets for hidden gems of insights and correlations.

  • Design and Implement high performance, accurate, scalable and robust analytical models in support of product and project objectives.

  • Evolve the approach for the application of machine learning & Deep learning existing or upcoming programs and project discipline.

  • Tech Problem Formulation: Requires knowledge of: Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights

  • To translate/ co-own business problems within ones discipline to data related or mathematical solutions

  • Identifies appropriate methods/tools to be leveraged to provide a solution for the problem

  • Analyze stakeholder technical needs and partner with them to share relevant information

What you bring:

  • Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis

  • Proficient in data science tools and programming languages such as SAS, Python, R, Scala, SQL

  • Ability to collaborate with others and solve complex problem• Proficiency in solutions design and requirements

  • Outstanding verbal and written communication skills to technical and non-technical audiences of various levels in the organization, e.g., executive, management, individual contributors

  • Excellent analytical, decision-making, problem-solving, team, and time management skills

  • Ability to persuade and influence others on the best approach• Positive outlook, strong work ethic, and responsive to internal and external clients and contacts

  • Exceptional statistical, mathematical and analytical skills

  • Superior interpersonal, communication and presentation skills

What we offer you : 

  • A range of benefits designed to help support your lifestyle and wellbeing

  • A multi-faceted job with a broad spectrum of responsibilities

  • A modern international work environment and a dedicated and innovative team

  • A broad range of professional education and personal development possibilities – FIS is your final career step!

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

#pridepass

Company:

FIS Global

Tagged as:

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