GN - SC&O - S&P – Spend Analytics – Senior Data Scientist

Job Title: GN - SC&O - S&P – Spend Analytics – Senior Data Scientist

Management Level: 8 – Associate Manager

Location: Gurgaon

Must have skills: Data Handling, Data Classification, AI/ML

Good to have Skills: Data Mining, Python

Job Summary:

As an Associate Manager in Spend Analytics and Senior Data Scientist, you will be responsible for leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. You will be working closely with cross-functional teams to conceptualize and deploy platforms that identify cost-saving opportunities, enhance supplier management, and deliver business intelligence to enterprise clients.

Roles and Responsibilities:

Data Handling

Data Collection: Participate in calls with stakeholders (internal and external, based in the US) to gather data from various sources (email, Dropbox, Egnyte, databases).

Data Audit: Lead assessment of data quality, identify gaps, and create summaries as per database requirements.

Data Scrubbing: Assist with creating data cleansing rules and incorporate data clarifications provided by data source owners.

Data Profiling: Assist with creating multi-dimensional data views, data analysis reports, and extracts.

Data Classification:

Spend Classification: Analyze procurement spend using several techniques to comprehensively classify into a custom taxonomy in Accenture’s spend analytics tool.

Enhancements: Diligently incorporate feedback and make recommendations for process improvement.

Report Generation: Create specific and opportunity spend-assessment reports/templates.

Periodic Refreshes: Lead discussions with US-based stakeholders for data gathering, data quality checks, control total validation, and spend classification.

Advanced Analytics and AI/ML

Develop custom data models and algorithms to apply to data sets.

Use machine learning tools and statistical techniques to produce solutions to problems.

Implement clustering and auto classification using predictive and supervised learning techniques.

Design and implement complex data models from scratch.

Develop and optimize ETL processes to ensure efficient data handling and processing.

Create intuitive and effective front-end interfaces from scratch.

Apply AI/ML techniques to optimize supply chain management, including demand forecasting, inventory optimization, and supplier performance analysis.

Utilize advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

Develop and implement AI/ML models for predictive analytics and automated decision-making in supply chain operations.

Industry Research

Secondary Research: Conduct market research to create company and industry primers using online secondary data or information sources.

Professional And Technical Skills

• Python: Hands-on experience with threading limitations and multi-process architecture.
• MySQL: Ability to integrate multiple data sources using MySQL.
• Strong coding knowledge and experience with several languages (e.g., R, SQL, JavaScript, Java, CSS, C++).
• Familiarity with statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis).
• Experience with advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Excellent spoken and written English communication skills, with the ability to participate in global team calls.
  
  
  

Additional Information:

• Work Experience: 9-11 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design.
• Academic Qualifications: Bachelor’s or Master’s degree in Engineering, Mathematics, Computer Science, or a related field.
• Extensive experience in handling and classifying spend data using AI/ML Techniques.
• Strong leadership and team management skills.
• Proficiency in MS Excel and MS PowerPoint.
• High attention to detail, accuracy, and innovative problem-solving skills.
• Preferred experience in supply chain management, with a focus on applying AI/ techniques to optimize operations.
  
  
  

About Our Company | Accenture

Experience: 9+ years

Educational Qualification: Bachelor’s or Master’s degree