We are looking for a highly motivated and passionate Data Science Consultant to join Accenture s Global Centre for Data and Insights. The vision of the Centre is to combine the power of Machine (data & AI) with Human (Knowledge Experts) to solve some of the most complex problems in the industry. As a key member of the team, your role will focus on providing world class insights to leaders and stakeholders across different Functions.
What you will focus on?
Conduct analysis to address critical business challenges faced by client teams working in different markets across the value chain to recommend the best data and insights powered solutions
Gathering business requirements to create high level business solution framework covering aspects of customer journey, policy & regulatory requirements, data driven business process design & Technology Architecture
Interface with client teams along with inputs from internal research and data insights teams to develop solutions for identified opportunities
Build analytical use cases in AI and Machine Learning across different functions including Marketing, Operations, Treasury and Finance, Risk assessment, Product design and Marketing, AI driven Customer Experience
Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL, Oracle, S3 buckets and likes of the same
What skills and qualifications do you need?
You should have worked for 4-6 years in the area of Knowledge Strategy and Consulting, Analytics and AI Delivery and Business Operations in any of the Tier-1 consulting organizations (McKinsey, BCG etc.)
Experience in at least some functions like Operations, Treasury and Finance, Risk assessment, Compliance and Regulatory, Fraud, IT and Technology, Product design and Marketing, AI driven Customer Experience
Experience in at least some domains within specific industries like Cards/Payments/Retail or Commercial /Digital/Mortgages/Data Privacy/Asset Management/Consumer Goods/Supply Chain/Communications & Media/Life Sciences etc.
Have experience in building analytics models for cross-sell, up-sell, churn, forecasting, fraud detection etc.
Hands on experience in building and deployment of Statistical Models/Machine Learning using following techniques - Statistical Algorithms (at least some of them)
a.Segmentation and Predictive Modeling (K means, Clustering, Multivariate Regression, Logistic Regression)
b.ML algorithms -RF, GBM / XgBoost, SVM
c.NLP algos - TFIDF, Word2vec, LDA
d.Exploratory Analytics (T-tests)
Experience with some databases preferred like Oracle, TD, Sybase, MS SQL, Win SQL, S3 buckets
Experience and exposure to developing cloud solutions on AWS/GCP/Azure
Good experience with Data, Analytics and AI technologies & tools - data native mindset with a deep understanding of Statistics and experience in A/B or multivariate experiment set-up, sharing testing results & recommendations
Ability of Visual story-telling with BI & Visualization Tools (Tableau/Spotfire/Power BI, Cognos, Business Objects) is preferred
Advanced Excel including VBA and PowerPoint skills
Consulting skills Experience preferred
Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical business people
You are laser focused on delivering outcomes with speed and agility
You are self-driven and thrive in ambiguity
MA/MBA/MSc/MPhil. in Statistics / Economics/ Mathematics / Engg. Degree from Top Colleges in India or Abroad