Harnham
Director of Data Science & LLMs - Financial Services
Director of Data Science & LLMs - Financial Services
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Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$300,000.00/yr - $325,000.00/yr Direct message the job poster from Harnham Business Manager - Machine Learning, LLMs, Generative AI & MLOps at Harnham
Director of Data Science & LLMs - Financial Services Location:
Hybrid in New York, New York Compensation:
$300,000 – $325,000 base salary + performance bonus + equity ABOUT THE COMPANY We are partnered with a high-growth company at the intersection of AI, legal tech, and financial services, fundamentally transforming how regulated industries leverage language models and machine learning. This organization is building sophisticated NLP/LLM systems to streamline complex workflows for legal and financial professionals. With executive-level support and increasing product demand, they’re seeking a Director of Data Science to lead strategy, research, and engineering execution across NLP and LLM initiatives. This is a rare opportunity to drive technical vision, shape an elite ML team, and build impactful AI systems from the ground up in a regulated space. THE ROLE As Director of Data Science, you’ll be responsible for setting the long-term machine learning roadmap, leading technical teams, and ensuring the successful development and deployment of scalable NLP solutions. You will report directly to the Head of AI and work closely with executive leadership, product, and engineering. Key Responsibilities: Strategic Leadership:
Define the ML vision and roadmap for NLP and LLM-based solutions, aligned with company goals and customer needs. Team Building & Management:
Hire, mentor, and manage a team of ML engineers and applied scientists. Foster a high-performing, collaborative environment. Technical Oversight:
Guide end-to-end model development—from research and prototyping through production deployment, performance monitoring, and continuous optimization. Cross-Functional Influence:
Collaborate with product, legal, engineering, and design teams to translate business needs into scalable AI solutions. Innovation:
Stay ahead of the curve in LLM research and NLP advancements. Evaluate and implement new technologies and tools to maintain technical edge. Thought Leadership:
Represent the company in industry discussions, conferences, and partner conversations. Champion best practices in ethical and responsible AI. Operational Excellence:
Ensure strong MLOps foundations are in place, including CI/CD, data governance, model monitoring, and security practices. YOUR SKILLS AND EXPERIENCE Required Qualifications: 10+ years
of experience in machine learning and software engineering, with at least
4+ years
in a leadership or managerial role. Demonstrated success building and leading teams that develop and deploy NLP/LLM models at scale. Deep expertise in
Python , ML frameworks (e.g.,
PyTorch, TensorFlow ), and modern NLP tools (e.g.,
Hugging Face Transformers, spaCy ). Experience designing and implementing ML systems in production, especially with large language models (e.g., GPT, BERT, T5). Proven ability to align technical initiatives with business goals, working cross-functionally with product and exec teams. Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable ML pipelines. PhD or Master’s degree in Computational Linguistics, Computer Science, Engineering, or a related technical field. Publication or open-source contributions in NLP/ML domains (e.g., ACL, NeurIPS, ICLR, EMNLP) a plus. THE BENEFITS Remote-First Culture:
Work from anywhere in the United States or Canada. Elite Talent Environment:
Collaborate with top-tier researchers, engineers, and domain experts. Comprehensive Benefits:
Full health, dental, vision, 401(k), and wellness programs. Strategic Impact:
Lead a core function at the center of the company’s long-term success. HOW TO APPLY Submit your resume to
Tim Jonas
via the Apply link on this page. We’re excited to connect with experienced ML leaders ready to guide cutting-edge AI development in a deeply impactful space. KEYWORDS: Director | Machine Learning | NLP | LLMs | AI Leadership | ML Strategy | Deep Learning | Natural Language Processing | AI Platforms | NLU | NLG | Information Retrieval | Large Language Models | Legal Tech | Financial Services | Model Deployment | Engineering Management | AI Infrastructure | Hugging Face | Generative AI | Enterprise AI Seniority level
Seniority level Director Employment type
Employment type Full-time Job function
Job function Science, Management, and Strategy/Planning Industries Financial Services and Legal Services Referrals increase your chances of interviewing at Harnham by 2x Inferred from the description for this job
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Director of Data Science & LLMs - Financial Services
Get AI-powered advice on this job and more exclusive features. Sign in to access AI-powered advices
Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$300,000.00/yr - $325,000.00/yr Direct message the job poster from Harnham Business Manager - Machine Learning, LLMs, Generative AI & MLOps at Harnham
Director of Data Science & LLMs - Financial Services Location:
Hybrid in New York, New York Compensation:
$300,000 – $325,000 base salary + performance bonus + equity ABOUT THE COMPANY We are partnered with a high-growth company at the intersection of AI, legal tech, and financial services, fundamentally transforming how regulated industries leverage language models and machine learning. This organization is building sophisticated NLP/LLM systems to streamline complex workflows for legal and financial professionals. With executive-level support and increasing product demand, they’re seeking a Director of Data Science to lead strategy, research, and engineering execution across NLP and LLM initiatives. This is a rare opportunity to drive technical vision, shape an elite ML team, and build impactful AI systems from the ground up in a regulated space. THE ROLE As Director of Data Science, you’ll be responsible for setting the long-term machine learning roadmap, leading technical teams, and ensuring the successful development and deployment of scalable NLP solutions. You will report directly to the Head of AI and work closely with executive leadership, product, and engineering. Key Responsibilities: Strategic Leadership:
Define the ML vision and roadmap for NLP and LLM-based solutions, aligned with company goals and customer needs. Team Building & Management:
Hire, mentor, and manage a team of ML engineers and applied scientists. Foster a high-performing, collaborative environment. Technical Oversight:
Guide end-to-end model development—from research and prototyping through production deployment, performance monitoring, and continuous optimization. Cross-Functional Influence:
Collaborate with product, legal, engineering, and design teams to translate business needs into scalable AI solutions. Innovation:
Stay ahead of the curve in LLM research and NLP advancements. Evaluate and implement new technologies and tools to maintain technical edge. Thought Leadership:
Represent the company in industry discussions, conferences, and partner conversations. Champion best practices in ethical and responsible AI. Operational Excellence:
Ensure strong MLOps foundations are in place, including CI/CD, data governance, model monitoring, and security practices. YOUR SKILLS AND EXPERIENCE Required Qualifications: 10+ years
of experience in machine learning and software engineering, with at least
4+ years
in a leadership or managerial role. Demonstrated success building and leading teams that develop and deploy NLP/LLM models at scale. Deep expertise in
Python , ML frameworks (e.g.,
PyTorch, TensorFlow ), and modern NLP tools (e.g.,
Hugging Face Transformers, spaCy ). Experience designing and implementing ML systems in production, especially with large language models (e.g., GPT, BERT, T5). Proven ability to align technical initiatives with business goals, working cross-functionally with product and exec teams. Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable ML pipelines. PhD or Master’s degree in Computational Linguistics, Computer Science, Engineering, or a related technical field. Publication or open-source contributions in NLP/ML domains (e.g., ACL, NeurIPS, ICLR, EMNLP) a plus. THE BENEFITS Remote-First Culture:
Work from anywhere in the United States or Canada. Elite Talent Environment:
Collaborate with top-tier researchers, engineers, and domain experts. Comprehensive Benefits:
Full health, dental, vision, 401(k), and wellness programs. Strategic Impact:
Lead a core function at the center of the company’s long-term success. HOW TO APPLY Submit your resume to
Tim Jonas
via the Apply link on this page. We’re excited to connect with experienced ML leaders ready to guide cutting-edge AI development in a deeply impactful space. KEYWORDS: Director | Machine Learning | NLP | LLMs | AI Leadership | ML Strategy | Deep Learning | Natural Language Processing | AI Platforms | NLU | NLG | Information Retrieval | Large Language Models | Legal Tech | Financial Services | Model Deployment | Engineering Management | AI Infrastructure | Hugging Face | Generative AI | Enterprise AI Seniority level
Seniority level Director Employment type
Employment type Full-time Job function
Job function Science, Management, and Strategy/Planning Industries Financial Services and Legal Services Referrals increase your chances of interviewing at Harnham by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Director Data Science jobs in
New York, NY . New York, NY $253,000 - $314,000 1 week ago New York, NY $211,000 - $264,000 2 weeks ago Head of Data Science & AI Lead/Co-Founder
New York, NY $180,000.00 - $200,000.00 1 week ago New York, NY $150,000.00 - $180,000.00 2 weeks ago New York, NY $220,000.00 - $250,000.00 1 week ago Director, Data Science/Advanced Analytics - VP
New York, NY $160,000.00 - $220,000.00 2 weeks ago Senior Director, Machine Learning and AI
Customer Intelligence Lead (Director), Data Science & Advanced Analytics
New York, NY $98,000.00 - $186,000.00 1 week ago Senior Artificial Intelligence (AI) Data Scientist (Director), Data & Technology, Data Analytics & AI (Remote)
Senior Director, B2B Marketing Data Science
New York, NY $210,000.00 - $255,000.00 2 weeks ago New York, NY $222,000.00 - $299,000.00 2 weeks ago New York, NY $163,210.00 - $234,570.00 5 days ago Director, Data Science Platform | Data Science Platform
New York, NY $125,000.00 - $150,000.00 1 week ago New York, NY $176,700.00 - $288,765.00 2 weeks ago New York, NY $163,210.00 - $261,660.00 2 weeks ago New York, NY $174,760.00 - $287,102.50 1 day ago New York, NY $163,210.00 - $234,570.00 2 weeks ago New York, NY $375,000.00 - $450,000.00 3 days ago Director, Medical Insights & Analytics - (4 roles)
East Hanover, NJ $185,500.00 - $344,500.00 3 weeks ago New York City Metropolitan Area $375,000 - $450,000 3 days ago New York, NY $209,000 - $359,150 1 month ago New York, NY $177,000 - $284,000 3 days ago New York, NY $138,500 - $242,000 5 days ago East Hanover, NJ $194,600 - $312,400 2 weeks ago New York, NY $700,000 - $1,000,000 1 week ago New York, NY $125,000 - $150,000 2 weeks ago New York City Metropolitan Area $155,000 - $180,000 5 days ago Director, BD&L, Insights and Decision Science
East Hanover, NJ $185,500 - $344,500 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr