Consultant Data Science

About the Role

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

Key Responsibilities

• Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.
• Design and deliver AI solutions for clients within the Telco domain.
• Work with large data sets and present conclusions to key stakeholders.
• Perform data management using SQL.
• Propose solutions to clients based on gap analysis of existing Telco platforms to generate long-term and sustainable value.
• Gather business requirements from client stakeholders through interviews and workshops.
• Understand issues with existing processes and design detailed to-be states, leveraging Data & AI or process solutions.
• Understand customer needs and translate them into business requirements, business process flows, and functional requirements.
• Adopt a systematic approach to complex issues, analyze relationships between problem components, and anticipate obstacles.
• Independently deliver products and services that empower clients to implement effective solutions.
• Make specific changes and improvements to processes or own work to achieve more.
• Collaborate with other team members and ensure information is shared.
• Establish a consistent and collaborative client presence, acting as the primary point of contact and managing client issues.
• Partner with clients to understand their business goals, marketing objectives, and competitive constraints.
• Analyze data and craft compelling stories for senior client stakeholders.
• Travel or relocate to Japan as per business requirements.

Requirements & Tech Stack

• Relevant experience in the Telco domain.
• CMT Analytics expertise.
• Demonstrated experience in solving real-world data problems through Data & AI.
• Direct onsite experience (facing clients within client offices in India or abroad) is mandatory.
• Proficiency with data mining, mathematics, and statistical analysis.
• Advanced pattern recognition and predictive modeling experience.
• Knowledge of advanced analytical fields such as text mining, Image recognition, video analytics, and IoT.
• Execution-level understanding of econometric/statistical modeling packages.
• Experience using digital & statistical modeling software, including one or more of the following: Python, R, PySpark, SQL, BigQuery, Vertex AI.
• Proficient in Excel, MS Word, PowerPoint, and corporate soft skills.
• Knowledge of dashboard creation platforms such as Excel, Tableau, Power BI.
• Excellent written and oral communication skills, with the ability to communicate ideas and results to non-technical stakeholders.
• Self-starter with the ability to work independently across multiple projects and set priorities.
• Strong team player, proactive, and solution-oriented.

Qualifications

• Telco domain experience.
• Data Science expertise.
• Ability to work with large data sets.
• Ability to understand the as-is process and design to-be states.
• Ability to understand customer needs and translate them to business requirements.
• Strong analytical, problem-solving, and communication skills.
• Ability to work in a fast-paced, dynamic environment.
• Proficiency with data mining, mathematics, and statistical analysis.
• Advanced pattern recognition and predictive modeling experience.
• Traditional techniques such as Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling.
• Machine learning techniques such as Random Forest, Gradient Boosting, XG boost, decision trees, clustering.
• Knowledge of Deep learning modeling techniques like RNN, CNN.
• Ability to leverage design thinking, business process optimization, and stakeholder management skills (good to have).
• Execution knowledge of optimization techniques (good to have):
• Exact optimization: Linear, Non-linear optimization techniques.
• Evolutionary optimization: Both population and search-based algorithms.
• Cloud platform certification (good to have).
• Experience in Computer Vision (good to have).