Lead Data Scientist - AI Solutions
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.
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.
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.
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