• Data Science Business consultant head

Experience Range 15 - 20 Years

Skills machine TL Net Learning
Job Description
About Us
EVRY India and EVRY USA are wholly owned subsidiaries of TietoEVRY, a leading digital services and software company headquartered in Finland with annual revenues of around USD 3.3 billion. TietoEVRY employs around 24,000 experts globally and is recognized as the #1 IT services and #1 financial services company in the Nordics. TietoEVRY serves thousands of enterprises and public sector customers in more than 90 countries. We foster a culture of continuous learning and focus on helping our customers in accelerating their digital journey to scale business advantage. Be it talent, speed to market, innovation, or cross-pollination of ideas across markets, TietoEVRY leverages USA and India operations to compete locally as well as globally.
Roles and Responsibility

JD – DATA Science Practice Head (Director/Associate Director)


This position is part Tietoevry Digital Innovation team to lead data science practice. He/she will be responsible for helping organization leverage on data, working with and through a team of data scientists and engineers to provide valuable direction and insight, for management to make informed decisions.

At least 5 to 10 years of experience in Data Science working on enterprise projects using open-source technologies. Seasoned thought leader with problem solving and critical thinking ability.



Education: BE/B.TECH/ME/M.TECH//MS (from reputed institute) with computer science /Mathematics and Statistics

Years of Experience: 15+ Years




         Lead and grow a team of data scientists in scale with business demands

         Creating Strategy and roadmap for data driven solutions and transformation for customers

         Responsible for communicating analytics model behavior/results to business and customers and influencing revenue growth targets

         Creating culture of innovation, competency development and determining best practices

         Responsible for carrying out technical risk analysis and reliability assessments

         Responsible for performing complex analyses, including optimization, text analytics, machine learning, social-science modeling, and advance statistical analysis, parametric and non-parametric statistical models and technique



         Client/Stakeholder Management experience with customers in diverse industry verticals/domains

         Collaboration with business units across the organization to identify and refine opportunities for data-driven features.

         Able to create strategy and roadmap for Data Science Team, drive value through the utilization of its data assets and analytics offerings

         Identify opportunities to extract value from datasets to produce innovative solutions and solve focused analytical problems; develop a data strategy and roadmap

         Apply strong understanding of data science techniques and libraries to business problems