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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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Head of Engineering (AI)

Location: New York, NY (Remote Flex – East Coast Hours Preferred)

Boutique AI Innovation Consultancy

$230,000-$300,000 base + 20/25% discretionary bonus

Shape the Future of Applied AI

We’re partnering with a fast-growing boutique consultancy that’s transforming how enterprise organizations envision, design, and deploy real-world AI solutions. With a footprint across North America and Europe, they work with some of the world’s most recognizable brands to turn strategic ambitions into scalable, production-ready systems.

This isn’t a research lab-it’s where cutting-edge AI meets real-world impact.

The Role

As the Head of Engineering (AI), you’ll be the first senior technical hire in the U.S., reporting directly to the Founder/CEO and NYC-based Managing Director. You’ll have near-complete autonomy to define the tech stack, establish engineering best practices, and build a lean, high-impact team from the ground up.

You’ll lead the development of AI-enabled software systems, guide enterprise client engagements, and play a key role in shaping the delivery model at the intersection of software, AI, and business transformation. With three immediate hires approved (Software Engineering + AI), you’ll have the opportunity to recruit and mentor a high-caliber team.

Key Responsibilities

• Architect full-stack, production-ready platforms across backend, frontend, and AI infrastructure
• Build and lead the development of LLM-based applications and internal AI tools
• Establish CI/CD pipelines, testing protocols, documentation standards, and engineering workflows
• Design and manage scalable cloud environments (local, staging, production)
• Implement and oversee AI infrastructure for prompt engineering, vector search, embeddings, and RAG
• Recruit, mentor, and scale a technical team spanning software, AI, and data
• Lead agile delivery on enterprise client projects in a consulting environment
• Collaborate closely with strategy, product, and AI leads to scope and ship impactful solutions
• Represent engineering in client-facing engagements with credibility and clear communication

What We’re Looking For

• Proven experience in software engineering, including leading teams or managing projects
• Strong backend or full-stack background (Python preferred)
• Demonstrated success building AI/ML systems from the ground up in production environments
• Expertise in modern cloud infrastructure (AWS, GCP, or Azure) and DevOps (Docker, CI/CD, etc.)
• Familiarity with LLM ecosystems (OpenAI, Hugging Face), LangChain, and Retrieval-Augmented Generation
• Consulting or client-facing experience, ideally within boutique or hybrid consulting models
• Strong coding ability combined with growing leadership and managerial capabilities
• Bachelor’s or advanced degree in Computer Science, Machine Learning, or a related field
• A builder’s mindset: collaborative, execution-oriented, and focused on elegant, practical solutions

Why Join?

• Be the founding U.S. Head of Engineering for a high-growth AI consultancy
• Define the technology vision and delivery model from scratch
• Collaborate with world-class strategy, product, and AI experts
• Flexible remote work setup with East Coast alignment
• Competitive comp + bonus + long-term leadership potential

Ready to build what’s next in AI?

Apply with your resume today – we’re moving quickly for the right candidate.

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Senior Staff Machine Learning Engineer

Remote

Up to $350,000 + Equity

Company:

A fast-growing, mission-driven tech company in the behavioral modeling and personalization space is seeking a Senior Staff/Technical Lead Machine Learning Engineer to join and lead a team. Their platform leverages one of the largest consented behavioral datasets in the US to deliver private-by-design AI solutions for top global brands and platforms.

The team is made up of seasoned ML professionals from Top Companies, and they are partnered with major cloud providers to bring novel AI products to market. This role will be central to building and scaling ML-powered products, with a focus on ad optimization and recommendation systems.

Role:

• Design, build, and deploy end-to-end machine learning models focused on ad optimization, personalization use cases and recommendation systems.
• Develop ML pipelines and production systems that leverage rich behavioral signals to drive user value and business ROI.
• Partner with product and R&D teams to ideate and execute on high-impact, ML-first product strategies.
• Lead experimentation and model evaluation in a fast-paced, data-rich environment.
• Contribute to the development of scalable infrastructure using tools like Airflow, Spark, and CI/CD platforms.
• Work cross-functionally to bring zero-to-one ML products to market and continuously refine them post-launch.
• Stay on the pulse of emerging ML techniques in RecSys, behavioral modeling, and model optimization.

Requirements:

• MSc or PhD in a STEM field.
• Proven experience building and deploying machine learning systems in a commercial setting.
• Strong background in AdTech or recommender systems (RecSys) – with a clear understanding of personalization, targeting, or user intent modeling.
• Hands-on experience with orchestration tools (Airflow, Bazel), data infrastructure (Spark, SQL, Scala, or Python).
• DevOps knowledge including CI/CD best practices and production model monitoring.
• Familiarity with cloud platforms (AWS, Databricks) and ML tooling (MLFlow, TensorFlow, Kubernetes).
• Strong collaboration and communication skills, with a product-oriented mindset.
• A bias toward action and a “roll up your sleeves” attitude-ideal for a dynamic startup environment.

Salary and Benefits:

• $300,000 – $350,000 base salary
• Meaningful Equity & Financial Upside
• Fully Remote (with hybrid options in Boston, SF Bay Area, Seattle, NYC)

How to Apply:

Please register your interest by submitting your CV via the Apply link on this page.

Desired Skills and Experience:

Machine Learning Engineering, AdTech, Personalization, Recommender Systems, MLOps, CI/CD, Airflow, Spark, Python, AWS

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Director of AI Engineering

New York, NY (option for fully REMOTE)
$275,000-$300,000 base + bonus + full benefits

The Company

Harnham is working with a boutique consulting firm, which helps Fortune 500 companies unlock growth through strategy, transformation, and innovation. Its team partners closely with executive stakeholders to solve complex challenges using cutting-edge technology. It’s now hiring its first Director of AI Engineering – someone passionate about applying machine learning and NLP to drive real business impact.

The Opportunity

As the Director of AI Engineering, you’ll play a hands-on role in building and delivering high-impact AI solutions while laying the foundation for a growing AI practice. You’ll work directly with internal teams and client executives to bring data-driven strategies to life-while also shaping the long-term vision of our AI offerings.

What You’ll Do

• Lead and build AI/ML solutions that support internal innovation and client transformation across financial services, healthcare, CPG, and Food & Beverage.

• Develop & Deploy NLP/LLM models for tasks like text summarization, classification, and insight extraction-turning data into actionable intelligence.

• Collaborate cross-functionally with engineers, consultants, and client stakeholders to design and deploy end-to-end solutions.

• Advise clients on responsible, strategic use of AI to help them stay competitive and future-ready.

• Mentor and grow a small team over the next 12-18 months as the AI function expands.

What You Bring

• 10+ years of professional experience in AI, machine learning, or data science

• Expertise in NLP and LLMs (e.g., BERT, spaCy, NLTK, HuggingFace) preferred

• Experience leading projects from start to finish in fast-paced or client-facing environments

• Strong communication skills and the ability to engage technical and non-technical audiences alike

• Proficiency in Python and working knowledge of common ML and visualization libraries

• Background in a STEM or quantitative field (graduate degree a plus)

• Consulting exposure is a plus

• Experience with cloud platforms

Why Join Us

• Competitive base salary: $275,000-$300,000 + performance bonus

• Opportunity to build and lead the firm’s AI capabilities from day one

• Work with smart, driven professionals on impactful, high-visibility projects

• Entrepreneurial, flexible environment with room to shape your role and grow

• Full benefits package and a collaborative workplace culture

Apply Now

Interested? Submit your résumé via the Apply link or reach out to Tim Jonas at Harnham for a confidential conversation.

KEYWORDS:
AI Strategy | NLP | LLM | Financial Services | Healthcare | Retail | CPG | Consumer Goods | Consulting | Machine Learning | Data Science | Python | Digital Transformation | Client Advisory | Boutique Consulting | Enterprise AI

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ML OPS ENGINEER – RELOCATION TO BARCELONA

We are working with an incredible start up company who have just gained pre-seed funding to join the team as a ML Ops Engineer. The role does require relocation to Barcelona.

Requirements:

• 5+ years ML Ops experience
• AWS & GCP
• Docker & Kubernetes
• Open to relocation

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SENIOR/PRINCIPLE DATA SCIENTIST

MIAMI/FLORIDA

4 DAY IN OFFICE REQUIREMENT

UP TO $190k

Full Right to Work in the U.S.

We’re partnering with a leading global food and beverage brand that is embarking on a transformative journey to become a data-driven organization with the goal of better leveraging advanced analytics solutions in the QSR industry.

The Role

This would be the first hire for a Data Science team and responsible for helping shape the future of data science in this company

• Building a function from the ground up
• Hiring, building and scaling a team of data science professionals
• Drive marketing initiatives, customer segmentation and customer value assessment
• Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation and testing, and deployment.
• Apply a variety of advanced analytical techniques including predictive modelling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Your Skills & Experience

• 6+ years working in core Data Science roles ideally across retail
• Proficient in Python & SQL
• Experience leveraging first party data (combined with 3rd party) to create an addressable audience-based media segmentation
• Proven experience as both an IC and a manager
• Experience working with a variety of statistical and modeling techniques including hypothesis testing, supervised learning (classification and regression), forecasting, unsupervised clustering, and optimization

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Data Scientist
Up to £90,000
Hybrid – Manchester (2x days per week).

THE COMPANY
I’m excited to announce an exciting opportunity for a Data Scientist to join a global media organisation.

THE ROLE
In this role, you will take the lead on a variety of projects aimed at optimising revenue, shaping pricing strategies, and conducting competitor analysis.

SKILLS AND EXPERIENCE
SQL,
Python
Statistical Modelling – Regression, propensity etc
A/B testing

APPLY
Send an email to register your interest

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Data Science Manager – REMOTE

We are working with a fintech start up looking for a Data Science Manager to join the team. You will manage a team of 5 Data Scientists in both technical and personal development. You will lead on forecasting and regression models as well as deployment using skills such as Docker and Kubernetes.

Requirements:

• 5+ years Data Science experience
• 2 years management experience
• Forecasting, Time Series & Regression modelling
• Web scraping
• Software development skills
• Python, SQL, Docker, Kubernetes
• Experience working in a fintech or in a similar field

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Data Scientist – Digital Audience Analytics

Location: Manchester (Hybrid – 2 days onsite)
Salary: £60,000-£90,000

The Company

A global leader in multimedia content creation is expanding its advanced analytics hub to drive smarter, more personalised audience engagement. Operating across publishing, audio, and outdoor media, this organisation produces content for the UK’s best-loved consumer brands. They are now recruiting a Data Scientist – Digital Audience Analytics to unlock deeper insights into how audiences interact with their digital ecosystem.

The Role

As a Data Scientist – Digital Audience Analytics, you will be instrumental in understanding customer engagement patterns-how often audiences interact, where, and with what content. Your models and insights will inform programme targeting, communication strategies, and personalisation initiatives to maximise reach, loyalty, and conversion.

You will work closely with product, marketing, and content teams to ensure data shapes every customer touchpoint.

Key Responsibilities:

• Develop models to predict customer engagement patterns, channel preferences, and lifecycle behaviour.

• Analyse digital footprint data (page views, clicks, time spent, etc.) to uncover trends and opportunities for personalisation.

• Identify key audience segments based on behavioural, demographic, and transactional data.

• Support targeting strategies by developing recommendation systems and engagement scoring models.

• Present findings and actionable insights to product, marketing, and content teams.

• Help build experimentation frameworks to continuously refine audience strategies.

Skills & Experience:

• Strong background in predictive modelling, segmentation, and customer analytics.

• Skilled in SQL, Python, and digital analytics platforms (e.g., Google Analytics, Looker).

• Experience working with digital customer journey data across web, mobile, and app ecosystems.

• Ability to communicate data-driven insights clearly to non-technical stakeholders.

• Familiarity with recommendation engines, user journey analysis, or churn prediction models is advantageous.

Register your interest by sending your CV to Daniel Abbasi via the apply link on this page.

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Data Scientist – Inventory & Pricing Analytics

Location: Manchester (Hybrid – 2 days onsite)
Salary: £60,000-£90,000

The Company

A global content powerhouse is building a next-generation analytics hub, reshaping how millions interact with digital media across publishing, audio, and out-of-home platforms. With data at the core of their strategic direction, they are expanding their team and hiring a Data Scientist to focus on optimising one of their largest revenue streams-advertising inventory.

The Role

As a Data Scientist – Inventory & Pricing Analytics, you will play a pivotal role in optimising the company’s advertising inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies.

This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation, and predictive inventory management.

Key Responsibilities:

• Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance.

• Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions.

• Create dynamic pricing models based on supply, demand, seasonality, and campaign data.

• Deliver actionable insights that maximise revenue opportunities across multiple media channels.

• Collaborate with commercial, sales, and supply teams to embed data-driven decision-making across the business.

• Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy.

Skills & Experience:

• Strong statistical modelling and predictive analytics expertise.

• Proficiency in SQL and Python (or R) for data manipulation and model development.

• Experience working with commercial, sales, or inventory datasets.

• Strong stakeholder management skills with the ability to translate complex data into clear commercial recommendations.

Register your interest by sending your CV to Daniel Abbasi via the apply link in the page.

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Head of Data Science & Analytics

£100,000-£120,000

Manchester (Hybrid)

The Company

A global content leader is establishing a cutting-edge analytics hub to revolutionise how millions engage with digital media. Operating across publishing, audio, and out-of-home platforms, they create content for some of the most recognisable consumer brands in the UK. With a vast, intricate dataset spanning audience behaviour, advertising effectiveness, and engagement trends, they are now seeking a Head of Data Science & Analytics to spearhead this transformation.

This is a rare, high-impact opportunity to build a centre of excellence within a business where data will directly drive content strategy, monetisation, and organisational direction.

The Role

As Head of Data Science & Analytics, you will architect and deliver predictive modelling and analytics strategies to enhance audience engagement and optimise revenue streams. You will lead a growing team specialising in digital analytics, revenue optimisation, and audience segmentation.

You will operate as both a strategic advisor and a technical authority-partnering closely with product, editorial, and commercial stakeholders while embedding scalable, best-in-class data science practices throughout the organisation.

Key Responsibilities:

• Lead and develop a high-performing team of data scientists, analysts, and engineers across multiple analytics domains.

• Define, implement, and evangelise best practices across product, digital, revenue, and audience analytics.

• Oversee the design and deployment of predictive and statistical models, with particular emphasis on inventory management, customer behaviour analysis, and campaign optimisation.

• Build reusable frameworks for experimentation, dynamic pricing, and targeted content strategies.

• Partner with senior stakeholders to ensure data-driven insights are actionable and integrated into key strategic decisions.

• Drive cultural and organisational change to enhance data-driven decision-making capabilities across the business.

• Own the UK analytics roadmap while fostering collaboration across European markets.

• Advise and influence at C-suite level, delivering insights that materially impact commercial outcomes.

Skills & Experience

Essential:

• Minimum of 8 years’ experience in data science, analytics, or insight leadership roles.

• Expertise in SQL, A/B testing methodologies, and building statistical or predictive models.

• Proven success leading cross-functional teams within product, content, or commercial analytics environments.

• Strong stakeholder management capabilities, particularly in fast-paced, dynamic organisations.

• Demonstrated ability to develop talent and embed a high-performance, data-centric culture.

• Ability to translate complex data into clear, commercially actionable narratives for non-technical stakeholders.

• Prior experience within media, publishing, audio, or entertainment sectors.

Benefits

• Salary: Up to £120,000

• Hybrid Working: 2 days per week onsite in Manchester

How to Apply

Please send your CV to Daniel Abbasi at Harnham using the Apply link on this page or connect with Daniel directly to explore the opportunity in more detail.

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