Data Science & AI Delivery Lead

Axis Communications

Data Science & AI Delivery Lead at AXIS Capital managing AI delivery operations and technical oversight. Engaging in hands-on leadership and supporting a growing team of Data Scientists and AI Engineers.

Posted 7/29/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $175,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in delivering AI/ML solutions, with strong proficiency in Python and core data science libraries. Capable of managing technical delivery teams while fostering a culture of collaboration and excellence in MLOps practices.

Highest-signal resume keywords

AI/ML Solution DeliveryPython ProficiencyMLOps PrinciplesGenerative AI ExperienceProject Management Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonMLOpsDatabricksScikit-learnPandasPyTorchTensorFlowAzure OpenAIAzure Machine LearningSpark

Soft Skills

Excellent CommunicationProblem-Solving MindsetTeam LeadershipCollaborationMentoring

Tools & Technologies

MLflowAzure AI SearchLangChainSemantic KernelVector Databases

Industry Keywords

Generative AIRAG PatternsCI/CDExperiment TrackingModel Management

Tech Stack

Tools & technologies

AzureCloudPandasPythonPyTorchScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact

Own the operational running of AI delivery workstreams, ensuring the team is focused, unblocked, and delivering against priorities.
Act as the primary point of escalation when the Head of is unavailable.
Directly manage the design, build, test, and deployment of AI solutions across multiple concurrent projects, ensuring quality and timely delivery.
Provide technical guidance on solution design, model selection, and architecture decisions, ensuring the team is taking the right approach for each use case.
Review code and technical outputs to maintain quality standards, and contribute hands-on to Python-based development when needed, particularly during critical delivery phases or proof-of-concept work.
Support the design and delivery of Generative AI solutions, including RAG architectures, prompt engineering, and integration with Azure AI services (e.g., Azure OpenAI, Azure AI Search).
Ensure robust MLOps practices are followed, including model versioning, testing, deployment pipelines, and monitoring of deployed solutions for performance and drift.
Champion engineering best practices across the team, including code review standards, documentation, version control (Git), and a clear separation between experimentation and production-ready code.
Work closely with AXIS's Business Technology Solutions for solution architecture and delivery, and with the Program Office for planning deliveries, providing timelines, cost estimates, and status updates.
Partner with Data Engineering to ensure data pipelines and lakehouse structures support AI delivery needs.
Support the Head of Data Science & AI Delivery in leading and developing a growing team of Data Scientists and AI Engineers, fostering a culture of excellence, collaboration, and continuous learning.
Mentor and coach team members through hands-on pairing, structured code reviews, and knowledge-sharing sessions on emerging techniques and tools.
Support the Head of in tracking the project pipeline, estimating costs (including cloud compute and API consumption), and managing resource allocation to ensure the team is effectively deployed against priorities.
Stay current with the rapidly evolving AI landscape, including new foundation models, open-source frameworks, vector databases, orchestration tools (e.g., LangChain, Semantic Kernel), and evaluation methodologies.
Represent the Head of Data Science & AI Delivery in meetings, steering groups, and stakeholder forums as required, ensuring continuity of leadership and communication.

Requirements

What you’ll need

Demonstrable experience delivering AI/ML solutions in a professional environment, with a track record of taking projects from concept through to production.
Strong technical knowledge, including proficiency in Python and experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow).
Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing.
Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector search.
A solid understanding of MLOps principles, including CI/CD for models, automated testing, and monitoring of deployed solutions.
Cloud platform experience, preferably Azure, including services such as Azure OpenAI, Azure Machine Learning, or Azure AI Search.
Experience managing or leading technical delivery teams, with a track record of fostering a positive, high-performing team culture.
Excellent communication skills and the ability to translate complex technical concepts for business stakeholders.
Strong project management skills, including resource estimation, progress tracking, and meeting deadlines in a fast-paced, multi-priority environment.
A proactive, problem-solving mindset with the ability to operate independently and step up into a leadership vacuum when needed.

Benefits

Comp & perks

comprehensive and competitive benefits package including medical plans for you and your family
health and wellness programs
retirement plans
tuition reimbursement
paid vacation