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Senior Consultant, Data Science & AI

TTEC Digital
Contract type
Ongoing
Work mode
Hybrid · Hybrid (inferred: EU/NL where applicable)
Experience
Senior · 5+ years

Job description

Key details

  • Develop end-to-end machine learning models for production, including predictive and prescriptive models such as propensity modeling, customer segmentation, and demand forecasting
  • Architect, fine-tune, and evaluate enterprise Generative AI systems, including Retrieval-Augmented Generation (RAG) pipelines, custom LLM applications, and prompt engineering frameworks
  • Design and deploy autonomous AI agents and multi-agent workflows capable of multi-step reasoning, tool utilization, and task automation
  • Build advanced analytics models to measure campaign performance, predict customer behavior, and maximize long-term ROI
  • Synthesize complex algorithmic outcomes and machine learning metrics into executive-ready presentations and dashboards
  • 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 data landscapes, and translate business problems into structured data science methodologies
  • Create solutions and design documentation for client data science architectures and ML pipelines
  • Work independently and as part of a large team across multiple client engagements
  • Crosstrain junior data scientists/analysts and provide technical leadership and code reviews
  • Further develop skills through on-the-job and formal learning to stay ahead of AI/ML trends
  • Assist in pre-sales activities by scoping new client opportunities and providing accurate work/effort estimates
  • Company mission
  • Information not specified

Primary stack

Core technologies

Python (Programming Language)SQLGoogle Cloud Platform (GCP)

Benefits

  • Information not specified

Requirements & details

  • Post-secondary degree or diploma in 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 experience
  • Python, pandas, numpy, scikit-learn, XGBoost, PyTorch, TensorFlow, Transformers, LangChain, LlamaIndex, AutoGen, CrewAI, BigQuery Vector Search, Google Cloud Vector Search, Pinecone, Chroma, FAISS, SQL, Google Cloud Platform
  • Python (Programming Language)
  • SQL
  • Google Cloud Platform (GCP)

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