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S&C Global Network - AI - Telecom Analytics – Assoc Manager

Accenture -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Microsoft Powerpoint
Microsoft Word
Power BI
Image processing
Microsoft Excel
Data mining
Internet of things
Computer vision
R
Tableau
Master's degree
SQL
Analysis skills
Machine learning
Deep learning
Regression analysis
Agile
Predictive analytics
Business Administration
Data science
AI
MBA
Communication skills
Python
Analytics

Full job description

Entity: - Accenture Strategy & Consulting

Team: - Global Network - Data & AI

Practice: - Comms & Media - Telecom

Title: - Level 7 - Ind & Func AI Decision Science Manager

Job location: - Bangalore/Gurgaon/Hyderabad/Mumbai

About Global Network – Data & AI: - Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition

About Comms & Media practice:

Comms & Media (C&M) is one of the Industry Practices within Accenture’s S&C Global Network team. It focuses in serving clients across specific Industries – Communications, Media & Entertainment.

Communications – Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This team serves most of the world’s leading wireline, wireless, cable and satellite communications and service providers
Media & Entertainment – Focuses on industries like broadcast, entertainment, print and publishing

Globally, Accenture Comms & Media practice works to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction.

From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices.

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.

Accenture has not authorized any agency, company or individual to either collect money or arrive on any monetary arrangement in exchange for a job at Accenture. Accenture’s criterion for hiring candidates is merit. Any agency, company or individual offering employment with Accenture in exchange for money is misrepresenting their relationship with Accenture, which has not authorized any such action. If you are approached by any entity or individuals who demand money or any other form of compensation in return for a job offer at Accenture – even if they present themselves as representatives or employees of Accenture – please send the details to Accenture Business Ethics Line

JOB REQUIREMENTS – Overall Experience

Overall 10+ years of experience in Data Science & at least 5 years in Telecom Analytics
Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school
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, PySpark, SQL, BigQuery, 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

Apply Now

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