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

Job Title - Telecom Analytics Level 7:Manager Ind & Func AI Decision Science Manager S&C

Management Level:07 - Manager

Location: Bangalore/Gurgaon/Hyderabad/Mumbai

Must have skills:Must have skills:Data Scientist / Transformation Leader & at least 5 years in Telecom Analytics


Good to have skills:GEN AI, Agentic AI,

Job

Summary: 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 publishingGlobally, 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.Roles & Responsibilities: 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.Professional & Technical Skills:

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

Qualifications

Experience: Overall 10+ years of experience in Data Science & at least 5 years in Telecom


Educational Qualification: Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school