Senior Consultant – Data Science, Analytics and Insights

TTEC Digital

Senior Consultant in Data Science & Analytics at TTEC Digital, focusing on advanced analytics and machine learning projects. Collaborates with clients to drive strategic insights and solutions.

Posted 7/19/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning models and advanced analytics solutions within cloud environments, with a strong focus on client engagement and data storytelling. Proven ability to lead workshops, synthesize complex data insights, and provide technical leadership to junior team members.

Highest-signal resume keywords

Machine Learning Model DevelopmentAdvanced Analytics SolutionsCloud Environment DeploymentClient-Facing Consulting ExperienceGoogle Cloud Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingPrescriptive ModelingData AnalysisData VisualizationAlgorithm DevelopmentAnalytics Workflow OptimizationStatistical AnalysisData Science MethodologiesCampaign Performance MeasurementCustomer Behavior Prediction

Soft Skills

Technical LeadershipCommunicationCollaborationProblem-SolvingWorkshop Facilitation

Tools & Technologies

Google Cloud PlatformData Science ToolsAnalytics DashboardsMachine Learning PipelinesData Visualization Tools

Certifications & Qualifications

Google Cloud Certified Professional Data EngineerGoogle Cloud Certified Professional Machine Learning Engineer

Industry Keywords

Data ScienceAdvanced AnalyticsManagement ConsultingClient EngagementBusiness Analytics

Tech Stack

Tools & technologies

CloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Develop Machine Learning Models: End-to-end development, training, and deployment of production-grade predictive and prescriptive models (e.g., propensity modeling, customer segmentation, demand forecasting).
Deliver Advanced Analytics: Help clients maximize the efficiency of their strategic initiatives by building advanced analytics models that measure campaign performance, predict customer behavior, and maximize long-term ROI.
Data Storytelling & Visualization: Synthesize complex algorithmic outcomes and machine learning metrics into compelling, executive-ready presentations and dashboards that clearly articulate business value and ROI.
Develop and Maintain Analytics Workflows: Analyze raw client data and build optimized analytics datasets within cloud environments to support modeling and reporting.
Lead workshops with external clients to uncover business objectives, map out data landscapes, and translate vague business problems into structured data science methodologies.
Create solutions and design documentation for client data science architectures and ML pipelines.
Work on projects independently as well as being part of a large team across multiple client engagements.
Crosstrain Junior Data Scientists/Analysts or other team members with your area of expertise, providing technical leadership and code reviews.
Further develop skills both on the job and through formal learning channels to stay ahead of AI/ML trends.
Assist in pre-sales activities by scoping new client opportunities and providing accurate work/effort estimates.

Requirements

What you’ll need

Post-Secondary Degree (or Diploma) related to Data Science, Statistics, Computer Science, Economics, Business Analytics, or an IT-related field.
5–8 years of total experience in Data Science, Advanced Analytics, or Management Consulting.
3+ years of experience in an external client-facing consulting or professional services capacity.
3+ years of application, model design, and deployment experience natively within a cloud environment (GCP preferred).
Demonstrated experience specifically delivering advanced predictive models and advanced analytics solutions.
Google Cloud Certified Professional Data Engineer or Google Cloud Certified Professional Machine Learning Engineer (Highly Preferred).

Benefits

Comp & perks

Health insurance
Work/life balance
Continuous education
High-performance incentives