Deloitte | RA – AIC – Digital / AIC / Algorithms – Senior Executive – Data Engineer 1 | Bengaluru | Bharat | BigDataKB.com | 17 Oct 2022

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Job Location: Bengaluru

Job requisition ID :: 48589
Date: Oct 14, 2022
Location: Bengaluru
Designation: Deputy Manager
Entity:

JOB DESCRIPTION

FUNCTION Deloitte Touche Tohmatsu India LLP

SERVICE LINE Analytics – Risk Advisory

BASE LOCATION Mumbai/Delhi/Hyderabad/Bangalore

REQUIRES TRAVEL May be but not frequently

About Deloitte

Deloitte” is the brand under which tens of thousands of dedicated professionals in independent firms throughout the world collaborate to provide Audit, Consulting, Financial Advisory, Risk Management and Tax services to selected clients. These firms are members of Deloitte Touche Tohmatsu Limited (DTTL), a UK private company limited by guarantee. Each member firm provides services in a particular geographic area and is subject to the laws and professional regulations of the particular country or countries in which it operates. DTTL does not itself provide services to clients. DTTL and each DTTL member firm are separate and distinct legal entities, which cannot obligate each other. DTTL and each DTTL member firm are liable only for their own acts or omissions and not those of each other. Each DTTL member firm is structured differently in accordance with national laws, regulations, customary practice, and other factors, and may secure the provision of professional services in its territory through subsidiaries, affiliates and/or other entities.

In India, we are one of the leading professional services organizations offering a range of consulting services across major cities including Mumbai, Delhi, Chennai, Bangalore and Hyderabad, Kolkata and Ahmedabad.

Whether you are seeking to enhance & develop local business, expand into new markets or invest in India, we can work with you in achieving your business vision.

When you come to us, you get the kind of global thinking that helps us approach business challenges more broadly and deeply, bringing greater value to our clients.

Please see www.deloitte.com/about for a detailed description of the legal structure of Deloitte Touche Tohmatsu and its member firms. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

Job Specifications

Educational Qualifications

Graduation

B.Tech /BE

Post Graduation

M.Sc.IT MBA M.Tech MCA Any PG

Others – Certifications: Machine learning/Deep learning certifications, GitHub portfolio, Kaggle Profile, Hackerrank profile or any other.

Work Experience

Total: 3 to 8 yrs

Machine Learning: 3+ yrs

Required Skills:

  • Strong working knowledge in Python
  • Experienced working with – Keras, Sklearn, Pandas, Numpy, Matplotlib, seaborn
  • Neural Networks, Random Forest, Logistic Regression, Support Vector Machine, Naïve Bayes
  • Knowledge of algorithm’s-behavior, parameters, tuning-approach.
  • Machine Learning Life-Cycle Process Understanding
  • Machine Learning projects, Kaggle profile, Github Profile or any other
  • Added Advantage: Completed any online Machine Learning / Data Science Course
  • Strong technical, analytical, interpersonal communication skills

Job Purpose

Within the Risk Advisory practice, the Analytics group is designed to take a risk based, analytics approach help clients improve performance and operating efficiency. We work closely and collaboratively with our clients, providing the full range of analytics services. Supporting statutory and Internal Auditors to be effective and efficient through usage of analytics. Beyond this, significant part of the services is in Risk Assessment, Control Compliance, CFO dashboard, solving business problem through analytics for respective Industry vertical through CCM / CTM, Contract Risk and Compliance

Key Job Responsibilities

Help build the machine learning capability credential for analytics practice and operationalize the integration with other existing market offerings.

Also responsible for the following on an ongoing basis

  • Understand business requirements to translate into analytics construct
  • Manage large volumes of structured and unstructured data
  • Help deploy analytics solutions and enable tracking of business outcomes
  • Keep up with cutting edge machine learning and deep learning analytics techniques and tools
  • Mitigate the risks associated with successful project completion




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