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GN - SC&O - I&F Decision - Data Scientist - Associate Manager

6 years

0 Lacs

Pune Maharashtra India

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

data management analytics python design development ai ml procurement analyze taxonomy dropbox audit assessment database mysql coding sql javascript java css regression network learning algorithms statistics simulation analysis clustering networks etl automation leadership excel

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title

: SC&O - S&P – I&F Decision Science - Data Scientist Associate Manager

Management Level

: 08 – Data Scientist Associate Manager

Location

: Gurgaon/Pune/Mumbai

Must have skills

: Spend Analytics

Good to have skills

: Python

Job Summary

As an Associate Manager in Data Scientist and Project Management, 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 & Responsibilities

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

Professional & 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

Additional Information

  • Work Experience: 6-12 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design.
  • 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/ML techniques to optimize operations.
About Our Company | Accenture

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