Anson McCade10.03.26
AI SCORE 8.5

Lead Data Scientist - AI Solutions

$180K–$220K/year

About the Role

We are seeking a Lead Data Scientist to join our innovative, technology-driven consultancy organization. As a Lead Data Scientist, you will lead the design and delivery of large-scale, high-impact AI solutions. This is a strategic leadership role at the forefront of enterprise AI transformation, combining deep technical expertise with commercial influence. The successful candidate will take ownership of delivering production-grade AI and machine learning systems powered by advanced techniques in generative AI, agentic AI, and modern ML engineering. Operating at enterprise scale, you will shape AI strategy, champion cloud-native architectures, and drive the adoption of best-in-class AI development practices across the organization.

What You'll Do

  • Lead the successful delivery of complex, enterprise AI/ML programs.
  • Define architectural principles and strategic direction for AI and data science.
  • Engage C-level and senior stakeholders, translating advanced AI concepts into tangible business value.
  • Embed modern AI engineering standards, scalable MLOps practices, and responsible AI governance.
  • Drive innovation across supervised and unsupervised learning, time series modeling, reinforcement learning, large language models (LLMs), and agentic AI systems.
  • Foster a culture of innovation, continuous learning, and engineering excellence.
  • Build, mentor, and inspire a high-performing community of data scientists, AI engineers, and technical managers.
  • Shape AI propositions, support business development, and ensure AI initiatives deliver sustainable commercial success.

Requirements

  • Proven accountability for delivering complex, production-grade AI/ML solutions at scale.
  • Demonstrated technical leadership across enterprise AI initiatives.
  • Deep expertise in advanced AI/ML methodologies, including time series forecasting, supervised and unsupervised learning, reinforcement learning, and large language models (LLMs).
  • Strong data engineering capability, including handling large-scale, unstructured, and multimodal datasets.
  • Ability to influence and negotiate at C-level, clearly articulating the commercial value of AI.
  • Experience shaping AI-led account strategies and commercial offerings.
  • Demonstrated success building and leading high-performing AI and Data Science teams.
  • Strong commercial acumen with a track record of driving AI product and solution success.

Nice to Have

  • Hands-on expertise with modern deep learning frameworks such as PyTorch and TensorFlow.
  • Experience fine-tuning or distilling large language models (e.g., GPT, Llama, Claude, Gemini).
  • Proficiency with advanced ML libraries including scikit-learn and XGBoost.
  • Experience with vector databases, semantic search, knowledge graphs, and AI data storage architectures.
  • Contributions to open-source AI projects, research publications, or industry events.

What We Offer

  • Competitive salary of $180,000 - $220,000 per year.
  • Fully remote work environment with flexible hours.
  • Opportunities for professional development and continuous learning.
  • Collaborative and innovative team culture.
  • Health and wellness benefits.
  • Access to cutting-edge technology and tools.
  • Support for ethical AI practices and responsible governance.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Lead Data Scientist position offers a unique opportunity to shape AI strategy and lead innovative projects in a fully remote environment. With a competitive salary and a focus on professional development, this role stands out in the AI industry.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in AI and Machine Learning frameworks such as TensorFlow and PyTorch, with a strong understanding of MLOps practices to streamline model deployment and monitoring.

Demonstrates a strategic mindset and leadership capabilities to influence cross-functional teams remotely, ensuring alignment on AI project goals and timelines.

Possesses a strong analytical mindset with experience in generative AI and deep learning techniques, coupled with a proven track record of delivering production-grade AI solutions in a consultancy environment.

Learning Resources

Deep Learning Specializationcourse

Career Path

Lead Data Scientist - AI Solutions(Now)Data Science Manager(1-2 years)Director of AI Solutions(3-5 years)

Market Overview

Market Size 2024
$126B
Annual Growth
20.1%
AI Adoption
64%
Investment
+150%
Labour Demand
+30%
Avg Salary
$160K

Skills & Requirements

Required
AIMachine LearningData Science
Growing in Demand
Natural Language ProcessingReinforcement LearningCloud ML Services
Declining
Traditional Statistical AnalysisR Programming

Domain Trends

Generative AI Expansion
The generative AI market is expected to grow from $11B in 2023 to $51B by 2028, indicating a significant shift towards AI-driven content generation.
MLOps Standardization
MLOps practices are being adopted by 70% of organizations to streamline machine learning workflows, enhancing collaboration between data science and IT.
AI Ethics and Regulation
With 58% of companies prioritizing ethical AI practices, there is a growing demand for data scientists who can navigate compliance and ethical considerations in AI solutions.

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