Manager Lead Data Scientist Pune

About VOIS:

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK.

Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more.

Established in 2006, VOIS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone.

About VOIS India:

In 2009, VOIS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VOIS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more.

Job Description

• Big Data Handling:

  Passion and attitude to learn new data practices and tools (ingestion, transformation, governance, security & privacy), on both on-prem and Cloud (AWS preferable).

  Influences and contributes to innovative ways of unlocking value through companywide and external data

   

  Diagnostic Models:

  Experience with diagnostic system using decision theory and causal models (including tools like probability, DAG, ADMG, Deterministic SME, etc) to predict the effects of an action to improve insight-led decisions.

  Able to productize the diagnostic systems built for reuse.

   

  Predictive & Prescriptive Analytics Models:

  Expert in AI solutions - ML, DL, NLP, ES, RL etc.

  Should be able to build robust prescriptive learning systems that are scalable, real-time.

  Should be able to determine "Next Best Action" following Prescriptive Analytics.

   

   

  Autonomous Cognitive Systems:

  Drive Autonomous system utility and continuously improve precision through creating the stable learning environment.

  Should be able to build Intelligent Autonomous Systems to prescribe proactive actions based on ML predictions and solicit feedback from the support functions with minimal human involvement.

   

  Big data tech, environments & frameworks:

  Advanced applications of CNNs, RNNs, MLPs, Deep learning.

  Excellent application of machine learning and deep learning packages like tensorflow, pytorch, scikit, numpy, pandas, statsmodels theano, XGBoost etc.

  Demonstrated superior deep learning algorithms/framework.

   

  At least 1 certification in AWS will be preferred.

   

  Programming: Python, R, SQL
  Frameworks: TensorFlow, Keras, Scikit-learn
  Visualization: Tableau, Power BI
  Cloud: AWS, Azure
  Statistical Modeling: Regression, classification, clustering, time series
  Soft Skills: Communication, stakeholder management, problem-solving

VOIS Equal Opportunity Employer Commitment

India:

VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics.

As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 10 Best Workplaces for Millennials, Equity, and Inclusion, Top 50 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 10th Overall Best Workplaces in India by the Great Place to Work Institute in 2024. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do.

By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills!

Apply now, and we’ll be in touch!