The Role
Leads client-facing data science and AI consulting engagements, developing predictive models, generative AI and agentic systems, cloud analytics workflows, and executive dashboards. Designs RAG pipelines, LLM applications, machine learning models, and scalable data architectures while facilitating client workshops, documenting solutions, supporting presales, and mentoring junior team members.
Summary Generated by Built In
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.
The position of Senior Consultant - Data Science & AI is within the 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.
Our Data Science & AI 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).
- 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.
Skills and Experience Requirements
- 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.
- Google Cloud Certified Professional Data Engineer, Professional Machine Learning Engineer, or equivalent Generative AI/Cloud Certifications (Highly Preferred).
- 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
- 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.
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About Us
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.
We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.
TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.
Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.
As part of our commitment to fair and efficient hiring practices, TTEC Digital uses artificial intelligence (AI) tools to help screen applications and match candidates to job requirements. These tools assist our human recruiters but do not make final hiring decisions.
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Skills Required
- Post-secondary degree or diploma in Data Science, Statistics, Computer Science, Economics, Business Analytics, or an IT-related field
- 5-8 years of experience in Data Science, Advanced Analytics, or Management Consulting
- 3+ years of external client-facing consulting or professional services experience
- 3+ years of application, model design, and deployment experience in a cloud environment
- 1-2+ years of hands-on experience architecting and deploying Generative AI systems and Agentic AI workflows
- Experience delivering traditional predictive models and modern AI solutions to enterprise stakeholders
- Google Cloud Professional Data Engineer, Professional Machine Learning Engineer, or equivalent Generative AI or cloud certification
- Proficiency with Python data science and machine learning libraries, including pandas, NumPy, scikit-learn, XGBoost, PyTorch or TensorFlow, and Transformers
- Experience with LangChain, LlamaIndex, AutoGen or CrewAI, prompt engineering, RAG architectures, multi-agent orchestration, function calling, and tool integration
- Experience with vector databases or search technologies such as BigQuery Vector Search, Google Cloud Vector Search, Pinecone, Chroma, or FAISS
- Advanced SQL query optimization for large-scale data warehouses
- Experience with Google Cloud Platform, including Gemini Enterprise, Vertex AI Agent Builder, BigQuery ML, and Model Garden
- Experience with BigQuery, Dataflow, and Cloud Storage for data extraction, pipeline management, and indexing
- Experience with Looker, Looker Studio, Tableau, or Power BI
- Knowledge of MarTech or AdTech ecosystems
- Knowledge of Agile and Scrum methodologies
- Experience with CI/CD, MLOps or LLMOps, automated deployment, model monitoring, and LLM evaluation
- Strong interpersonal, communication, leadership, problem-solving, client management, and prioritization skills
- Ability to manage multiple projects, estimate project effort, and support presales activities
TTEC Digital Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about TTEC Digital and has not been reviewed or approved by TTEC Digital.
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Wellbeing & Lifestyle Benefits — Wellbeing resources include Calm access, specialized programs (e.g., Pelago, Maven, Sword), and a Lifestyle Spending Account for wellness activities. These offerings extend beyond core medical to support mental health and daily wellness needs.
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Leave & Time Off Breadth — Time-off programs cover PTO, sick/wellness time, paid holidays, and paid parental leave, with some Digital roles describing manager‑discretion “unlimited PTO.” This structure can offer flexibility for corporate/tech roles when team norms support it.
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Healthcare Strength — Core coverage spans medical, dental, vision, telemedicine/behavioral health, EAP, and optional protections like critical illness, accident, legal, ID‑theft, and pet insurance. The breadth indicates a comprehensive health offering on paper across physical and mental care.
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The Company
What We Do
TTEC Digital is a global leader in customer experience orchestration, combining technology and empathy at the point of conversation. With decades of innovation experience across the world’s leading contact center technology platforms — plus in-house expertise in CX strategy, data and analytics, AI and more — TTEC Digital delivers an unmatched skillset for organizations looking to forge deeper customer relationships and drive better business outcomes.
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