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 in Banking.
What you will focus on?
Conduct analysis to address critical business challenges faced by client teams working in different markets across the banking value chain to recommend the best data and insights powered solutions
Gathering business requirements to create high level business solution framework covering aspects of banking 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 across banking LOBs
Build analytical use cases in AI and Machine Learning across different banking functions including Operations, Treasury and Finance, Risk assessment, Compliance and Regulatory, Fraud, IT and Technology, 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.) with focus and experience in Banking industry
Experience in at least some banking function 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 areas of banking domain like Cards/Payments/Retail or Commercial Banking/Digital/Mortgages or Regulatory/Data Privacy/Asset Management/CDD/KYC/AML or Contact Center/Branch Banking along with knowledge of various banking products is required
Have experience in building analytics models in atleast 1 or more banking function for cross-sell up-sell models, churn models, forecasting models, fraud detection models, AML models, default prediction models, risk pricing models 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