ACN - Digital - Data & Insights - 09

Accenture (Gurugram, HR, India) 17 days ago
About Accenture:
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With 506,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at [...] Data Science Consultant for Banking - Centre for Data & Insights

Function: Applied Intelligence, Accenture Strategy & Consulting

Reports to: Manager - Centre for Data and Insights

At Accenture Applied Intelligence we are passionate about leveraging the power of data and insights to transform the core of our clients globally. We thrive by integrating human ingenuity with intelligent technology to address businesses’ most complex problems. With a team of 3,000+ Data Scientists, we leverage robotic process automation, content analytics, predictable analytic models and cognitive services to help clients drive their growth and transformation agenda.

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)

e. Decision Trees

• 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

ACN - Digital - Data & Insights - 09

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