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Director of Data Science

LOCATION: Remote (US-based)

SALARY: $190,000 – $215,000 + bonus

INDUSTRY: FinTech / Consumer Services

Are you a visionary data science leader with a passion for delivering real business impact? A high-growth, mission-driven consumer services organization is looking for a Director of Data Science to lead and scale their machine learning practice. This is a unique opportunity to drive enterprise-level value through operationalized AI while partnering with senior leadership to influence strategy.

THE COMPANY

This organization is a well-established player in the financial services space, serving millions of consumers with a mission to create better financial outcomes. With a fast-evolving data function and strong executive buy-in, they’re investing heavily in AI/ML to transform decision-making, automate key workflows, and unlock new product capabilities.

THE ROLE

As Director of Data Science, you’ll lead a high-performing team of data scientists and a product manager, owning the end-to-end lifecycle of machine learning models-from ideation to production. You’ll work cross-functionally with engineering, product, and operations teams to scope high-ROI initiatives and ensure scalable, ethical deployment of models via batch inference and real-time APIs.

This is a highly visible role reporting to executive leadership, offering autonomy, strategic influence, and the opportunity to shape the future of AI across the business.

KEY RESPONSIBILITIES:

• Lead, mentor, and grow a team focused on building production-grade ML models aligned with business goals.
• Drive the discovery, prioritization, and ROI evaluation of new data science initiatives.
• Architect and oversee the full ML lifecycle-development, deployment, monitoring, and retraining.
• Collaborate with data engineering and MLOps teams to ensure scalable and reliable pipelines using Snowflake, DataRobot, and real-time APIs.
• Champion best practices in model governance, explainability, and responsible AI.
• Present insights and strategy recommendations to executive stakeholders in a compelling, accessible manner.

YOUR SKILLS & EXPERIENCE

Required:

• 10+ years in data science or machine learning, with 2+ years in a formal leadership or player-coach role.
• Strong expertise in Python and SQL, with deep understanding of supervised and unsupervised learning.
• Proven experience deploying and monitoring ML models in production environments (batch and real-time).
• Track record of cross-functional collaboration with engineering, product, and business leaders.
• Familiarity with model deployment platforms like DataRobot, Sagemaker, or similar.
• Experience with Snowflake-native ML or integrated MLOps workflows.
• Strong communication skills and business acumen-able to influence at the executive level.

Nice to Have:

• Background in financial services, lending, or high-volume consumer products.
• Exposure to prescriptive analytics and optimization techniques.

BENEFITS

• Competitive compensation and equity
• Fully remote flexibility
• Comprehensive benefits package
• High-visibility role with executive sponsorship
• Opportunity to build a cutting-edge ML function from the ground up

HOW TO APPLY

Please send your CV to Gabriella Ferrara at Harnham to learn more about this exciting opportunity.

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Senior Data Scientist

Location: Remote-first (UK-based)
Salary: £70,000

The Company

A Series D tech scale-up is reshaping the travel and hospitality industries through advanced machine learning and forecasting. Purpose-built for this space, their platform leverages deep learning to drive revenue optimisation, automation, and real-time analytics. With a growing client base of major global travel brands, they’re hiring exceptional talent to push the boundaries of what’s possible in commercial strategy.

The Role

As a Senior Data Scientist within the Forecasting Algorithms team, you’ll design and deploy high-frequency demand forecasting models that directly support pricing decisions. You’ll own the full development lifecycle-from modelling to deployment-while collaborating closely with science, product, and engineering stakeholders.

This is a hands-on role suited to someone who thrives on building, testing, and deploying complex statistical models in a production environment. You’ll work in a modern MLOps setup, contributing to libraries and frameworks used across the company’s data science organisation.

Key Responsibilities:

• Design and deploy time series forecasting models with a strong focus on accuracy and scalability

• Improve existing model performance and drive innovation through new methodologies

• Develop internal ML and forecasting libraries using Python

• Translate product goals into technical solutions in collaboration with leadership

• Implement validation frameworks, unit tests, and monitoring pipelines

• Stay current with advances in machine learning and apply them where appropriate

Tech Stack:

• Python (Pandas, Polars, SciPy, Scikit-learn, NumPy)

• Dagster, Argo, GCP

• Kibana, Elastic

• DevOps-first approach for model deployment

Skills & Experience:

Essential:

• Strong background in statistics, machine learning, and time series forecasting

• Experience with modern ML models (e.g. transformers, CNNs, attention mechanisms)

• Proficiency in writing production-level Python code

• Familiarity with CI/CD practices, testing, and model validation

• Confident working across teams and taking ownership of delivery

• Strong communication and problem-solving skills

Desirable:

• Experience in demand forecasting or operations research

• Familiarity with Bayesian methods, Monte Carlo simulations, or reinforcement learning

• Exposure to high-scale SaaS or B2C products

Why Apply?

• Build forecasting systems powering global commercial strategies

• Collaborate with a world-class data science team

• Up to £70,000 + equity in a high-growth AI company

• Excellent benefits: private healthcare, mental health support, nursery benefit (UK), and generous PTO

How to Apply

To apply, please send your CV to Daniel Abbasi via the Apply link on this page.

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Data Scientist – Forecasting

REMOTE

We’re looking for a Data Scientist to join a global company to work within the forecasting team. You will develop detailed and accurate forecasting models to support the customer and pricing optimisation teams to shape the future of data-driven decision making.

Responsibilities

• Analyse and interpret model behaviour, delivering actionable insights to both internal stakeholders and external clients.
• Design and build robust machine learning models for demand forecasting at scale.
• Contribute to a growing library of forecasting algorithms, leveraging tools from operations research, statistics, and computer science.
• Validate model improvements through a rigorous testing framework, similar to CI/CD practices in software development.

Requirements:

• PhD or Masters in a related field
• Python
• Pandas, Scikit-learn, NumPy
• GCP preferred
• Forecasting experience (nice to have)

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Director of Data Science
Location: Preferably Bay Area (1-2 days/week in office), but remote with travel is possible
Salary: $240,000-$275,000 base + equity
Work Authorization: U.S. Citizen or Green Card required

Overview:
A high-growth tech company in the business travel space is seeking a Director of Data Science to lead a core team focused on machine learning, pricing, personalization, and lead conversion. This role demands strong people leadership, technical depth, and a startup-ready mindset.

Key Responsibilities:

• Lead and manage a team of senior and staff data scientists.

• Drive roadmap development for data science initiatives across product areas.

• Collaborate with engineering, analytics, and product teams.

• Guide strategic projects like lead scoring and pricing optimization.

• Set high-performance standards, manage performance, and build team structure.

Requirements:

• 10+ years of total experience, including 4+ years in leadership roles.

• Proven ability to manage and grow high-performing teams.

• Hands-on knowledge of machine learning (e.g., Python, SQL) and ability to engage in technical discussions.

• Experience working closely with senior leadership and cross-functional stakeholders.

• Strong performance management skills with a willingness to make tough decisions.

Preferred:

• Background in fast-paced, high-growth environments.

• Familiarity with pricing, personalization, or search algorithms.

• Experience scaling immature functions and leading through ambiguity.

Compensation:
Equity offered (typically 20,000-30,000 options/year). Four-year vesting with a one-year cliff.

Interview Process:

1. Initial conversation with senior team member

2. Leadership interview

3. Take-home technical exercise + presentation

4. Final interview with executive leadership

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Senior Data Scientist – Product

Fully Remote

Green Card OR U.S. Citizens ONLY

Comp: 180K-225K Base Salary

We’re looking for a bold and entrepreneurial Senior Data Scientist to join a high-impact team focused on growth and search optimization. In this role, you’ll drive core product initiatives like search relevance, personalization, and onboarding funnels, directly influencing user experience and company growth.

You’ll work on a small, agile team reporting directly to company leadership, with immediate ownership of key projects. From building ranking algorithms and next-best-action models to deploying deep learning solutions in production, you’ll shape the roadmap for search and lodging at scale. This is a high-autonomy role for someone who thrives in a fast-paced, startup environment and wants to help build innovative systems from the ground up.

What You’ll Do:

• Own and lead search-related product initiatives end-to-end

• Build and deploy deep learning models (e.g., ranking, personalization)

• Identify and execute high-ROI growth levers across the user funnel

• Collaborate with cross-functional partners in Product, Engineering, and Analytics

• Mentor junior talent and help scale the data science function

• Contribute to the team roadmap and help define technical direction

What You’ll Bring:

• Proficiency in Python (pandas, scikit-learn), SQL, and deep learning frameworks (PyTorch Lightning preferred)

• Experience deploying ML models to production, ideally in partnership with engineering teams

• Cloud experience (AWS preferred) and Airflow for ML pipelines

• Background in ranking systems, personalization, or recommendation engines (preferred)

• Strong communication skills and the ability to operate independently in ambiguous settings

• Track record of impact in high-growth tech startups or similar fast-paced environments

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