Senior Data Scientist

Founded in 1995, Visionet is a premier technology solution and business process management company headquartered in the US having operations spread in 5 countries and 8 office locations. We provide strategic business value to an extensive and impressive list of marquee customers across a variety of industries namely BFSI, Retail, CPG, Manufacturing.

Visionet’s core expertise includes enterprise resource planning and business application, business intelligence and analytics, e-commerce, mobile solutions, and cloud engineering. Our keen focus on cutting edge technologies of analytics and data science, artificial intelligence & machine learning, virtual & augmented reality lets us deliver some of the most innovative solutions and makes us an employer of choice for the best industry talent. Our growing team of over 3,000 devoted and accomplished technology professionals around the world makes us the partner of choice for organizations committed to achieving success in their category, industry, and marketplace.

Visionet makes significant investments in skill development and personal growth for its employees, creating one of the most stable talent pools in the industry. Our vast reserves of combined real-world experience and an emphasis on collaboration makes Visionet a great place to work and grow. 2019 has been a phenomenal year where we have delivered enormous success in terms of revenue achievement by clocking more than ~50% growth in the revenue numbers.

While we have seen great success, we are hungry to do more. Our industry does not respect tradition – it only respects innovation. Our job is to ensure that Visionet thrives in BFSI space. ‘Speed will be the name of our game hence be invested in your work and be the best you can be.” Is the mantra we follow. If you are hungry for challenging assignments, you are passionate about new learnings, willing to thrive in a fast-paced environment then we have a suitable role for you

Key Responsibilities:

  • Good understanding of client business problems and help them by providing best in class analytics solutions
  • Ability to translate business needs to technical requirements, propose and validate solutions
  • Development of Predictive Models, Statistical Models using Machine Learning / Python/R
  • Strong experience building analytical solutions and delivering tangible business value
  • Apply advanced statistical and predictive modeling techniques to build, maintain, and improve client’s decision systems
  • Consult/explain complex predictive modeling ideas to both internal and external clients
  • Manage relationships with business partners to evaluate and foster data-driven innovation, provide domain-specific expertise in cross-organization projects/initiatives
  • Represent the data science team for all phases of larger and more-complex development projects
  • The lead project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and accuracy, and data compliance
  • Should have excellent communication skills and be results-driven with a customer-centric approach to problem-solving
  • To assist the sales team with prospect opportunities
  • To identify opportunities for how advanced technologies in data science and machine learning space can benefit existing and future projects
  • To develop and deliver data-driven solutions and data science algorithms as part of a prospect initiative and POC
  • Maintain proficiency within the data science domain by keeping up with technology and trend shifts

Key Attributes of the Incumbent:

  • The incumbent should be an engineering graduate, MBA is preferred but not mandatory
  • 5-8 years of working experience in advanced quantitative analysis and statistical modeling with the total experience of 10-15 years
  • Prior work experience in the BFS sector is preferred
  • Ability to perform the following analytical concepts: regression, segmentation and clustering, decision tree, time series, optimization, neural network, NLP and other computational methods
  • Proficient in Python, R and/or SAS
  • Excellent communication, analytical and decision-making skills
  • Experience working effectively with engineering and analytics teams with a hands-on coding background
  • Extreme flexibility to work across multiple streams together directly and indirectly
  • Ability to groom the junior data analysists and help grow the organization strengths
  • Having an innovative mindset in working towards new ideas and pilots
  • Product development experience will be an added advantage


Information Technology


Bangalore, IND


Full Time