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Principal Consultant - Data Scientist

TTEC Digital

hybrid,HyderabadProductFull-time
Before you apply

Role details

The practical picture
Employment
Full-time
Role signal brief

The role, at a glance

Extracted from the source posting · 92% confidence

Principal Consultant Data Scientist role within TTEC Digital's Analytics and Insights Experience (AIX) team, requiring 5-8 years of data science experience with 3+ years in client-facing consulting. The position focuses on building production-grade predictive models, deploying machine learning pipelines on Google Cloud Platform, and translating complex analytics into executive presentations. Hybrid role based in Hyderabad with opportunity for worldwide remote work flexibility.

Remote scope
Worldwide remote work permitted without geographic, timezone, residence, or work-authorization restriction

What you need

  • Python (pandas, numpy, scikit-learn, XGBoost)
  • SQL (Advanced query optimization for large-scale data warehouses)
  • Google Cloud Platform (Core focus) including BigQuery, Dataflow, and Cloud Storage
  • 5-8 years of total experience in Data Science, Advanced Analytics, or Management Consulting
  • 3+ years of experience in external client-facing consulting or professional services
  • Demonstrated experience delivering advanced predictive models in cloud environments

What you will own

  • Develop end-to-end machine learning models including predictive and prescriptive modeling, customer segmentation, and demand forecasting for production deployment
  • Deliver advanced analytics solutions that measure campaign performance, predict customer behavior, and maximize ROI for strategic initiatives
  • Create executive-ready presentations and dashboards from complex algorithmic outcomes, synthesizing ML metrics into compelling business narratives
  • Analyze raw client data and build optimized analytics datasets within cloud environments to support modeling and reporting workflows
  • Lead client workshops to uncover business objectives, map data landscapes, and translate business problems into structured data science methodologies
  • Create architecture and ML pipeline documentation, crosstrain junior team members, and assist in pre-sales scoping with effort estimates
Core skills
PythonSQLGoogle Cloud PlatformMachine LearningPredictive ModelingCloud Data EngineeringData VisualizationBigQueryBI Tools

Remote policyWe have been and will remain a remote first employer, giving you the flexibility to take your career wherever life goes.

Internal freshness window ends Oct 21, 2026
View source evidence
  • remote_scope “We have been and will remain a remote first employer, giving you the flexibility to take your career wherever life goes.”
  • location “Job location: hybrid,Hyderabad”
  • seniority “Job title: Principal Consultant - Data Scientist”
  • must_have “5–8 years of total experience in Data Science, Advanced Analytics, or Management Consulting”
  • must_have “3+ years of experience in an external client-facing consulting or professional services capacity”
  • must_have “3+ years of application, model design, and deployment experience natively within a cloud environment (GCP preferred)”
  • skills “Python (pandas, numpy, scikit-learn, XGBoost)”
  • skills “Google Cloud Platform (Core focus) - Gemini Enterprise Agent Platform (formerly Vertex AI) & BigQuery ML”
  • company_remote_policy “We have been and will remain a remote first employer, giving you the flexibility to take your career wherever life goes.”
pythonsqlgoogle cloud platformmachine learning
Role brief
At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.

Position Purpose

The position of Senior Consultant - Data Science & Analytics is within the TTEC Digital Analytics and Insights Experience (AIX) team. The AIX group is responsible for Data Science, Advanced Analytics, and Engineering projects that include the design and validation of predictive models, building scalable machine learning pipelines, and converting raw client data into actionable insights to drive strategic business decision-making.

Our Data Science & Analytics Consultants work directly with external clients, Data Engineers, Project Leads, and Managers on implementation, migration, and advanced analytics deployment projects.

 

Key Responsibilities

  • 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.

 

Competencies

  • Personal: Strong interpersonal skills, high energy and enthusiasm, integrity, and honesty; flexible, results-oriented, resourceful, structured problem-solving ability, deal effectively with difficult client situations, ability to prioritize.
  • Leadership: Ability to gain credibility, motivate, and provide leadership; work with a diverse external customer base; maintain a positive attitude. Provide technical support and guidance to more junior team members, particularly for challenging modeling or analytical assignments.
  • Operations: Commercial acumen and ability to manage multiple projects simultaneously. Perform tasks in a client-friendly manner while utilizing time and resources efficiently, proactively managing project scope.
  • Technical: Ability to understand, translate, and communicate highly complex technical and mathematical concepts to non-technical business stakeholders.

 

Technical Skills

  • Python (pandas, numpy, scikit-learn, XGBoost)
  • SQL (Advanced query optimization for large-scale data warehouses)
  • Google Cloud Platform (Core focus)
  • Gemini Enterprise Agent Platform (formerly Vertex AI) & BigQuery ML (Model development and deployment)
  • BigQuery, Dataflow, and Cloud Storage (Data extraction and pipeline orchestration)
  • BI & Data Visualization Tools (Looker / Looker Studio, Tableau, or Power BI)
  • MarTech/AdTech Ecosystems
  • Agile/Scrum methodologies
  • CI/CD tools (For version control and model deployment pipelines)

 

Education, Experience and Certification

  • 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).

 

Organizational Description

At TTEC Digital everything we do, every day, helps our clients fuel exceptional experiences for their customers. Together, we help our clients develop strategic customer experience design, integrate powerful data, and orchestrate industry-leading technology.

 

We embrace the unique, positive, and healthy cultures that our different teams bring, and our leadership prioritizes the promise of work/life balance, continuous education, and high-performance incentives. We have been and will remain a remote first employer, giving you the flexibility to take your career wherever life goes.