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Senior Consultant, Data Science & AI

TTEC Digital
Contract type
Ongoing
Work mode
Remote · Canada
Experience
Senior · 5+ years

Job description

A Senior Consultant - Data Science & AI role within TTEC Digital's Analytics team, working directly with external clients on data science, advanced analytics, generative AI and agentic AI projects. The consultant develops and deploys ML models and Gen AI systems and translates business problems into data science methodologies.

At a glance

Employment
Full-time · Employee (employment agreement)
Work mode
Remote · Canada
Pay
USD 130,000 – 160,000 / year

What you'll do

  • 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).
  • Design & Deploy Generative AI Solutions: Architect, fine-tune, and evaluate enterprise Gen AI systems—including Retrieval-Augmented Generation (RAG) pipelines, custom LLM applications, and prompt engineering frameworks—to extract insights from unstructured data.
  • Architect Agentic AI Systems: Design and deploy autonomous AI agents and multi-agent workflows capable of multi-step reasoning, tool utilization, and task automation to solve complex client business challenges.
  • 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.

What we're looking for

  • 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).
  • 1–2+ years of hands-on experience architecting and deploying Generative AI systems (e.g., RAG pipelines, fine-tuned LLMs) and Agentic AI workflows (e.g., autonomous agents, tool-use integration).
  • Demonstrated experience delivering both traditional predictive models and modern AI solutions to enterprise stakeholders.
  • Python Stack: pandas, numpy, scikit-learn, XGBoost, PyTorch/TensorFlow, Transformers
  • Generative & Agentic AI Frameworks: LangChain, LlamaIndex, AutoGen/CrewAI, Prompt Engineering, RAG architectures, Multi-Agent Orchestration, Function Calling & Tool Integration
  • Vector Databases & Search: BigQuery Vector Search, Google Cloud Vector Search, Pinecone, Chroma, or FAISS
  • SQL: Advanced query optimization for large-scale data warehouses
  • Google Cloud Platform (Core focus): Gemini Enterprise, Vertex AI Agent Builder, BigQuery ML, Model Garden (Model development, fine-tuning, and deployment)
  • Data Engineering & Orchestration: BigQuery, Dataflow, and Cloud Storage for data extraction, pipeline management, and indexing
  • BI & Data Visualization Tools: Looker / Looker Studio, Tableau, or Power BI
  • MarTech/AdTech Ecosystems
  • Agile/Scrum Methodologies
  • CI/CD & MLOps/LLMOps: Version control, automated deployment pipelines, LLM evaluation, and model monitoring tools
  • 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.

Nice to have

  • Google Cloud Certified Professional Data Engineer, Professional Machine Learning Engineer, or equivalent Generative AI/Cloud Certifications (Highly Preferred).

Your team

TTEC Digital Analytics team

The Analytics group is responsible for Data Science, Advanced Analytics, Generative AI, and Engineering projects that include the design and validation of predictive models, building scalable machine learning pipelines, engineering autonomous agentic workflows, and leveraging enterprise Gen AI (LLMs, RAG architectures) to convert raw, unstructured client data into actionable insights that drive strategic business decision-making.

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About TTEC Digital

Pioneer engagement and growth solutions that fuel the exceptional customer experience (CX)

TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.

Key facts

  • 1,800+ employees
  • TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.
  • TTEC Holdings Inc. is the parent company for both TTEC Digital and TTEC Engage.
  • TTEC Engage is a 60,000+ employee service company.

What they value

  • Diverse and inclusive workforce
  • Equal opportunity employer