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Data Science Architect, Contract

59 minutes ago
United Kingdom
Contract
Lead
Data Architect
Data Science and Analytics
Apache Airflow CI/CD Docker GCP Hugging Face Keras Kubeflow Kubernetes MLflow Python PyTorch Snowflake spaCy SQL TensorFlow
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66degrees

66degrees

66degrees: Google Cloud Premier Partner shaping the Future of Work with AI and data solutions.

IT Services
251-1K
View All Jobs 22

Description

  • Serve as the primary technical point of contact for clients throughout the project lifecycle.
  • Gather client requirements and translate them into tailored AI/ML solution designs.
  • Communicate clearly with clients to manage expectations and maintain alignment.
  • Identify, assess, and mitigate project risks, including scope creep and resource constraints.
  • Plan work into sprints with the delivery manager to support timely execution.
  • Bridge collaboration across teams to ensure seamless solution delivery and integration.
  • Implement ethical AI practices, including fairness, interpretability, privacy, safety, and security.
  • Manage client relationships, support client satisfaction, and deliver tangible business value.
  • Identify and communicate upselling opportunities within client engagements.
  • Stay current on AI/ML research, trends, tools, and technologies and share knowledge across the team.
  • Mentor engineers and contribute coaching insights to managers to support team growth.

Requirements

  • 6+ years of experience in data science.
  • Deep practical experience with complex multi-variable linear/logistic regression, time-series forecasting, and structural classification models such as gradient boosting and random forests.
  • Experience with large-scale multi-dimensional clustering, propensity segmenting, and custom anomaly detection such as Isolation Forests.
  • Hands-on model customization using PyTorch, TensorFlow, Keras, or specialized toolsets such as MONAI, spaCy, or Hugging Face.
  • Proven experience designing autonomous, state-managed agentic workflows beyond simple vector database retrieval.
  • Production-level deployment experience with multi-agent frameworks such as LangGraph, LangChain, or AutoGen.
  • Hands-on experience with Model Context Protocol (MCP), programmatic tool calling, multi-step execution planning, and policy-guarded autonomous reasoning loops.
  • Experience taking models from POC to enterprise deployment, including automated validation, endpoint serving, and drift monitoring using Vertex Pipelines, Kubeflow, Airflow, or MLflow.
  • Strong software engineering fundamentals with expert-level Python and SQL.
  • Deep experience with Docker, Kubernetes, and Git-backed testing frameworks for CI/CD/CT.
  • Experience extracting, cleansing, and transforming large fragmented data streams into scalable unified data estates across Snowflake, BigQuery, or related data lakes.
  • Ability to adapt to changing business requirements and deliver quality solutions independently and in team settings.
  • Bachelor’s degree in Data Science, Computer Science, or a similar field.
  • Experience with Google Cloud Platform, preferred.

Benefits

  • 4+ month engagement duration.
  • Targeted start date in mid-June.
  • Equal Opportunity employer consideration for all qualified applicants.
  • Use of AI-assisted recruitment tools with final hiring decisions made by a human Talent Team.

Interested in this position?

Apply directly on the company website

Apply Now

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