Director of Data Science & LLMs – Financial Services
New York / $300000 - $325000 annum
INFO
$300000 - $325000
LOCATION
New York
Permanent
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 financial services company at the intersection of AI, legal tech, and compliance, which is 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).
- Extensive financial services domain experience.
- 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
- Senior-Level Management Compensation: $300,000 - $325,000 base + bonus + tangible equity.
- 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
CONTACT
Tim Jonas
He/Him
Business Manager
SIMILAR
JOB RESULTS
IRB Modelling Lead
London
£60000 - £90000
+ Risk Analytics
PermanentLondon
IRB MODELLING LEAD
£60-90,000 DEPENDENT ON EXPERIENCE
LONDON (FULL TIME ON SITE)
THE COMPANY
This company is an exciting start-up consultancy that are on a huge growth journey. They’ve made a great start to their growth and are looking for another modeller in the team due to continued success.
THE ROLE
- Lead the end-to-end development of IRB models across a range of clients
- Assist the wider team with broader model projects including application and behavioural scorecards
- Work closely with the model validation team to enhance model performance
- Manage a small team of analysts to drive the team to success and enhance performance of the business
YOUR SKILLS AND EXPERIENCE
- Essential to have experience developing or validating retail IRB models
- Coding experience in Python and SQL is essential
- Ability to own projects and lead on delivery
SALARY AND BENEFITS
- Up to £90,000 base salary
- Pension contribution scheme
- Private medical care
- Wider benefits package
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
Senior Manager, Data & Analytics – DTC
New York
$180000 - $220000
+ Advanced Analytics & Marketing Insights
PermanentNew York
To Apply for this Job Click Here
Senior Manager, Data & Analytics – DTC
Location: US Remote Eligible (travel required)
Salary:$180-220K base + bonus + equity
The Opportunity
A high-growth, vertically integrated DTC brand is hiring its first Senior Manager of Data & Analytics to architect and lead the company’s data strategy from the ground up. Following a period of explosive, triple-digit revenue growth and with full control over manufacturing, fulfillment, and customer experience, the company is now ready to make data a foundational pillar of scale.
Reporting directly to the CEO, you’ll step into a pivotal, hands-on leadership role-owning everything from data architecture and infrastructure to analytics strategy, roadmap execution, and team development. You’ll build the systems and insights that power smarter decisions across marketing, supply chain, logistics, and digital experience.
This is a rare opportunity to take a blank slate and build a high-impact data function with executive backing, tangible influence, and end-to-end ownership.
What You’ll Do
- Own and execute the data vision: Evaluate the current state, define the roadmap, and implement scalable data infrastructure (Postgres, dbt, Fivetran, Omni).
- Lead from the front: Operate as a player-coach-balancing individual technical contribution with people leadership and cross-functional influence.
- Build and scale a high-impact team: Recruit and mentor data engineers, analysts, and data scientists as the function grows from 1-2 to 6-8 over time.
- Drive actionable insights: Deliver dashboards, models, and analytics that unlock better outcomes across the customer lifecycle, supply chain, and financial ops.
- Set the bar for excellence: Establish best practices in KPI design, instrumentation, experimentation, data governance, and measurement strategy.
- Collaborate cross-functionally: Partner with senior leaders across Product, Marketing, Ops, and Engineering to ensure data becomes a competitive edge.
Use Cases You’ll Own
- Multi-touch attribution, CAC optimization, and customer segmentation
- LTV and churn modeling for better retention and personalization
- Demand forecasting to optimize production and reduce inventory risk
- Factory analytics to track throughput, cycle times, and downtime
- Logistics and fulfillment insights to improve delivery efficiency
- Customer journey analysis to enhance conversion and engagement
- Product feedback loops using return rates, support tickets, and reviews
What We’re Looking For
- 7-10+ years of experience in data, analytics, or BI roles, with a track record of leadership-preferably in high-growth DTC, ecommerce, or consumer product environments.
- Proven success building a data function from the ground up-including architecture, tooling, team structure, and process implementation.
- Strong technical proficiency in SQL and Python, with a hands-on ability to build pipelines, deliver insights, and support scalable analytics solutions.
- Fluency with the modern data stack, including platforms such as dbt, Fivetran, Omni, or comparable tools.
- Thrives in fast-moving, ambiguous settings, with a bias for action and comfort making decisions without perfect information.
- Demonstrated leadership and mentorship experience, including hiring, coaching, and managing performance for technical talent.
- Willingness to travel regularly to the company’s HQ during onboarding (first 4-6 months) and periodically thereafter as needed.
Why This Role
- Greenfield Ownership: Build the function the right way-from tools and models to team and roadmap.
- Executive Visibility: Direct line to the CEO and meaningful influence on company direction.
- High-Growth Environment: Be part of a company scaling fast with clear demand for data maturity.
- Purpose-Driven Culture: Join a team passionate about product, performance, and customer happiness.
To Apply for this Job Click Here
Staff Growth Analyst
San Francisco
$20000 - $240000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
To Apply for this Job Click Here
Staff Growth Product Analyst
US Remote
$200-240k base + equity
About the Role:
We’re looking for a Staff Growth Product Analyst to drive impactful growth analytics for an innovative AI-driven development platform that’s transforming how developers create and deploy user interfaces. Leveraging cutting-edge AI technologies, this platform enables rapid prototyping and significantly accelerates product development, enhancing user growth, engagement, and overall developer experience.
Role Highlights:
- Deep dive into user behaviors, journeys, and growth funnels to uncover opportunities for enhanced engagement and acquisition.
- Generate actionable insights aimed at boosting critical growth metrics like DAU, MAU, and user retention.
- Design, execute, and analyze A/B tests to drive informed decision-making and product improvements.
- Influence strategic decision-making through rigorous data analysis and compelling recommendations.
- Collaborate cross-functionally with product managers, engineers, data scientists, and growth marketers to drive continuous product improvement and iteration.
Who You Are:
- You have 7+ years of proven expertise in growth and product analytics, ideally within early-stage or innovation-driven product environments.
- You’re adept at conducting thorough funnel analyses, spotting rapid experimentation opportunities, and recommending actionable product enhancements.
- You thrive on solving complex analytical problems with high energy and intellectual rigor.
- Experienced with modern data stack (e.g., Snowflake, dbt, Preset, Hashboard, Kafka, Fivetran, Omni, Hex, Sigma, SQL, Python).
- You have previous experience (or a strong interest) in working with AI or machine learning-driven products.
Ideal Fit: You’re a driven, collaborative analytics expert passionate about influencing groundbreaking products. Excited by high-paced, innovative environments, you’re motivated by measurable impact and shaping the future of developer-focused, AI-powered technologies.
To Apply for this Job Click Here
Senior Analytics Manager
San Francisco
$250000 - $300000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
To Apply for this Job Click Here
Senior Manager of Marketing & Product Analytics
Location: San Francisco (Hybrid)
Salary: $260-300k base + Equity
Join one of the fastest-growing AI companies in the world-a $3B+ Series E SaaS leader transforming enterprise operations through intelligent automation. We’re looking for a Senior Manager of Analytics to own and scale a high-impact, cross-functional analytics team spanning Product, Marketing, and Finance.
This is a rare opportunity to lead at the intersection of business strategy and data, partnering with executive leadership to drive growth, optimize performance, and turn insights into action across the organization.
What You’ll Do
- Lead Analytics Across Marketing and Product: Own the roadmap, reporting, and insights across Marketing and Product teams-guiding campaign strategy, customer segmentation, feature development, and monetization.
- Optimize the Customer Journey: Deliver full-funnel analytics across paid media, organic channels, website behavior, and in-product engagement. Identify friction points and accelerate activation, conversion, and retention.
- Enable Experimentation and A/B Testing: Partner with Growth and Product leaders to design and analyze high-velocity experiments across the marketing funnel and product experience.
- Build Scalable Data Systems: Lead the design of metrics frameworks, dashboards, and experimentation infrastructure to deliver self-serve analytics and real-time visibility.
- Drive Stakeholder Alignment: Translate complex data into clear, actionable insights for executive stakeholders. Influence marketing strategy, product roadmap, and resource allocation with data-backed recommendations.
What We’re Looking For
- 10+ years of experience in analytics roles with a strong focus on Marketing, Growth, and Product Analytics-ideally within high-growth SaaS or AI-first companies.
- 4+ years of people leadership experience, with a track record of building, mentoring, and scaling high-performing analytics teams.
- Deep technical fluency in SQL, with hands-on experience using modern analytics stacks (e.g., Snowflake, dbt, Fivetran, Hex, Sigma, Looker, Hashboard).
- Strong proficiency in Python or R, with expertise in statistical analysis, experimentation, and causal inference.
- Extensive experience in channel performance analysis, LTV/CAC modeling, attribution, and funnel optimization.
- Strong communicator with a strategic mindset-comfortable working cross-functionally and presenting to C-level audiences.
- Passion for working in fast-paced environments and building clarity in ambiguity through data.
Why Join
- Shape the future of marketing and product strategy at one of the world’s fastest-growing AI companies.
- Join a company where data is core to every decision-with direct access to executives and meaningful ownership of high-impact initiatives.
- Competitive base, strong equity package, and a mission-driven culture focused on outcomes and innovation.
To Apply for this Job Click Here
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