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채용Accenture

S&C Global Network - AI - CMT - Consultant Data Science

Accenture

S&C Global Network - AI - CMT - Consultant Data Science

Accenture

·

On-site

·

Full-time

·

2mo ago

복지 및 혜택

Learning

필수 스킬

CMT Analytics

Data Science

SQL

Python

Machine Learning

Statistical Analysis

Pattern Recognition

Predictive Modeling

Job Title

  • S&C Global Network
  • AI - CMT - Consultant Data Science

Management Level: 9-Team Lead/Consultant

Location: Hyderabad, HDC2A

Must-have skills: CMT Analytics

Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills.

Job Summary:

This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.

Roles & Responsibilities:

Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.

Responsibilities/Authorities

A Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following:

  • Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL.
  • Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client.
  • Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders – Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem.
  • Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state
  • Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements – and be able to inform the best approach to the problem.
  • Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project.
  • Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date.
  • Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues.
  • Partner with clients to understand end clients’ business goals, marketing objectives, and competitive constraints.
  • Storytelling – Crunch the data & numbers to craft a story to be presented to senior client stakeholders.
  • Should be able to travel or relocate to Japan as per business requirement.

Professional & Technical Skills:

  • Relevant experience in the required domain.

  • Strong analytical, problem-solving, and communication skills.

  • Ability to work in a fast-paced, dynamic environment.

  • Demonstrated experience in solving real-world data problems through Data & AI

  • Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles.

  • Proficiency with data mining, mathematics, and statistical analysis

  • Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc.

  • Execution level understanding of econometric/statistical modeling packages –Traditional techniques like – Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling.

  • Machine learning techniques like

  • Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc.

  • Knowledge of Deep learning modeling techniques – like RNN, CNN etc.

  • Experience using digital & statistical modeling software (one or more) – Python, R, Py Spark, SQL, Big Query, Vertex AI

  • Proficient in Excel, MS word, Power point, and corporate soft skills

  • Knowledge of Dashboard creation platforms – Excel, tableau, Power BI etc.

  • Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders.

  • Strong analytical, problem-solving skills and good communication skills

  • Self-Starter with ability to work independently across multiple projects and set priorities

  • Strong team player – Proactive and solution oriented, able to guide junior team members.

  • Execution knowledge of optimization techniques is a good-to-have –Exact optimization – Linear, Non-linear optimization techniques

  • Evolutionary optimization – Both population and search-based algorithms

  • Cloud platform Certification, experience in Computer Vision are good-to-haves

Additional Information:

  • Opportunity to work on innovative projects.

  • Career growth and leadership exposure.

About Our Company | Accenture

Experience: 8-10Years

Educational Qualification: Any Degree

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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Accenture

Accenture

Public

Accenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.

10,001+

직원 수

Dublin

본사 위치

$139B

기업 가치

리뷰

3.6

9개 리뷰

워라밸

2.8

보상

3.2

문화

3.4

커리어

3.7

경영진

3.1

62%

친구에게 추천

장점

Good career growth and learning opportunities

Great culture and work environment

Good compensation and benefits

단점

Office politics and political environment

Long hours and stressful work

Low starting salary below market rate

연봉 정보

21개 데이터

L2

L3

L4

L5

L6

M3

M4

M5

M6

L2 · Business Operations L2

0개 리포트

$55,250

총 연봉

기본급

$22,100

주식

$27,625

보너스

$5,525

$38,675

$71,825

면접 경험

1개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

100%

경험

긍정 0%

보통 0%

부정 100%

면접 과정

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer

자주 나오는 질문

Behavioral/STAR

Past Experience

Culture Fit

Technical Knowledge