ORLANDO data & ai RECRUITMENT

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PRODUCT DATA SCIENTIST
Up to £85,000 | London or Leicestershire | Hybrid (2 days/week in office)

THE COMPANY

discount platform serving 4M+ members across the UK with access to 15,000+ partner discounts. £72M revenue, £375M member savings, expanding globally.

250+ employees with leadership from top consumer tech companies (Depop, Skyscanner, Monzo, Just Eat). Mission-driven culture rewarding key workers. Data-driven decision making at the core.

THE ROLE

Join the Data team as a Product Data Scientist working with Product and Business stakeholders to drive strategy through insight. Similar to Monzo’s Product Data Science model – embedded within product teams, solving problems, informing decisions, guiding strategy.

Reports to Director of Data, works alongside Product Data Analyst, Analytics Engineers, and Data Scientists.

What you’ll do:

• Use quantitative analysis and data storytelling to uncover user behaviour and inform product strategy
• Design and support experiments, generate hypotheses, foster continuous learning
• Define and align key metrics with stakeholders, ensure data accuracy across teams
• Build self-serve dashboards and data tools for quick access to core insights
• Conduct deep-dive analyses supporting strategic initiatives with clear recommendations
• Maintain central Insights Hub with documented reports and metric definitions
• Collaborate cross-functionally to close data gaps and foster strong relationships
• Champion unified data approach and stay current on analytics best practices
• Own problem spaces end-to-end, not just analysis – deliver outcomes

Greenfield opportunity with full ownership, autonomy to identify right questions, design experiments, and drive revenue-impacting decisions.

TECH STACK

Database: SQL (essential – must be strong)
Transformation: dbt (comfortable using, not expert-level required)
Languages: Python (for exploratory analysis, notebooks)
BI Tools: Lightdash / Looker
Version Control: Git
Analytics: GA, product analytics tools, web tracking
Some exposure to basic ML elements (exploratory modelling)

WHAT YOU NEED

• Essential:
• Extensive experience working with data in an analytical fashion in a digitally native tech environment
• Consumer tech or product experience is a must – worked with product teams and business stakeholders
• Strong SQL skills – work independently creating complex queries
• Hands-on Python (or R) experience for exploratory analysis
• Experience with dbt, Lightdash, Looker, or Tableau
• Product analytics background – experimentation, A/B testing, user behaviour analysis
• Statistical rigor – appropriately skeptical, understand how to design experiments that isolate real effects
• Strong data storytelling and presentation skills – ability to present convincing, data-led arguments to stakeholders at all levels
• Ability to translate business problems into analytical tasks and communicate insights effectively
• Product-minded approach – care about the “why” behind analyses, can push back constructively
• Self-starter with strong curiosity to understand user behaviour
• Detail-oriented problem solver who can balance rigor with speed
• Team player who is both highly collaborative and individually capable
• Ability to manage your own development and identify opportunities for improvement
• Can deliver and execute, not just analyze – pragmatic problem-solver

Nice to have:

• Experience in membership, subscription, or marketplace businesses
• Exposure to fintech or consumer tech scale-ups
• Background in companies like Monzo, Revolut, Deliveroo, Gousto, or similar product-led consumer tech
• Familiarity with modern data stack tools
• Understanding of affiliate networks or commission tracking

WHAT’S ON OFFER

• Salary: Up to £85,000
• Location: London (Holborn) or Leicestershire – hybrid 2 days/week. London-based: travel to Leicestershire once/month
• Impact: Greenfield opportunity – shape data function, build from ground up
• Strategic: Drive strategy and product decisions, not just reporting
• Mission-Driven: Tech for good – support key workers
• Holiday: 25 days + birthday off + buy/sell scheme (up to 5 days)
• Bonus: Company bonus scheme
• Health: BUPA medical insurance (covers pre-existing conditions) + healthcare cashback
• Benefits: Membership with 15,000+ discounts, pension, enhanced parental leave, EAP
• Perks: Free parking & EV charging at HQ, onsite gym, modern offices, social events, strong L&D culture

INTERVIEW PROCESS

1. 45 minute Teams with Director of Data – work experience, current situation, more about the role
2. 1 hour Teams with Director of Data + Data Team member – case study presented during interview (two prompts on experimentation, product thinking, structured problem solving)
3. 1 hour in-person meeting with 10 minute presentation on past experience
4. Potential short Teams with CPO (TBC)

Timeline: 3-4 weeks

HOW TO APPLY

Send your CV to Mohammed Buhariwala at Harnham.

Keywords: Product Data Scientist, Product Analyst, Product Analytics, Data Scientist, SQL, Python, dbt, Looker, Experimentation, A/B Testing, Consumer Tech, Fintech, SaaS, London, Hybrid

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PRODUCT DATA ANALYST / SCIENTIST

UP TO £85,000

HYBRID – LONDON 2x PER WEEK + 1x MONTHLY TEAM TRAVEL

*Please note, you must be a UK resident and citizen to apply*

THE COMPANY

Backed by private equity, this fast-growing consumer technology business is on a mission to become more product-focused and deliver greater personalisation for its users. With strong leadership and exciting growth plans, they’re now looking for a senior-level Product Data Analyst/Scientist to help shape product strategy and deliver actionable insights.

THE ROLE

As a Product Data Analyst/Scientist, you will:

• Own and drive product analytics, focusing on user behaviour and personalisation.
• Deliver insights that directly influence product strategy and experimentation.
• Build and maintain dashboards to track product performance and user engagement.
• Partner with stakeholders across product and analytics to communicate insights effectively.
• Support the business in becoming more data-driven, shaping commercial and product decisions.

YOUR SKILLS AND EXPERIENCE

• Experience in product analytics, within B2C consumer tech businesses
• Strong SQL skills essential.
• Proficiency with data visualisation tools (Looker preferred, open to others).
• Experience with Python desirable.
• Product analytics expertise: experimentation, dashboarding, and driving product strategy.
• Excellent communication and stakeholder management skills.
• Experience influencing product roadmaps and delivering commercial impact.

BENEFITS

• Opportunity to influence product strategy in a PE-backed, high-growth business.
• Work closely with senior leadership, including the Director of Analytics.
• Competitive salary plus benefits.

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SENIOR PRODUCT DATA SCIENTIST

UP TO £85,000

HYBRID – 1X A WEEK IN LONDON

*Please note, you must be a UK resident to apply and hold full right to work*

JOB DESCRIPTION

My client is looking for a Senior Product Data Scientist to join a growing Insights team. In this role, you’ll partner closely with product, engineering, and machine learning teams to deliver insight, drive experimentation, and shape the future of a consumer-facing product ecosystem.

This position sits at the intersection of technical depth and strategic impact. You’ll dive into data, pipelines, and experimentation frameworks while also influencing product direction, user experience, and commercial outcomes.

WHAT YOU’LL DO

Product Analytics Ownership

• Act as the go-to data scientist for a core product area.
• Develop a deep understanding of user behaviour and product performance.
• Identify opportunities to improve user outcomes and business results.

Influence Product & Business Strategy

• Connect analysis to broader company goals and strategic priorities.
• Help product teams understand trade-offs, challenge assumptions, and make evidence-based decisions.

Experimentation & Measurement

• Design hypotheses and support experimentation frameworks.
• Monitor and analyse A/B tests, providing clear recommendations on rollouts or iterations.
• Conduct post-experiment analysis to evaluate impact and learning.

Enable Data-Driven Decision Making

• Collaborate with product, platform, and data teams to ensure scalable, accurate datasets.
• Build dashboards and reporting that drive awareness, clarity, and action across teams.
• Support self-serve analytics and data literacy within the product organisation.

SKILLS

• Strong SQL skills with experience querying large, complex datasets.
• Basic working knowledge of Python.
• Familiarity with ETL workflows and debugging data issues.
• Proven experience designing and interpreting A/B tests.
• Hands-on experience with data visualisation tools (e.g. Looker, Tableau, or similar).
• Excellent communication skills, with the ability to explain complex concepts clearly and persuasively.
• Commercial mindset, balancing user needs with business outcomes.
• Strong sense of ownership; highly organised and proactive.
• Comfortable working in fast-changing, ambiguous environments.
• Experience working on consumer-facing, mobile-first products or marketplaces.
• Exposure to working alongside machine learning teams or embedding data science into ML-powered product discovery.

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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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Machine Learning Engineer – Research Team

Join the research arm of a leading gaming organisation to develop cutting-edge AI solutions that transform game quality assurance. This role focuses on automating QA and testing by building intelligent agents that detect anomalies and glitches in gameplay, ensuring an exceptional player experience.

Key Responsibilities

• Design and implement ML models for anomaly detection in video streams and gameplay data.
• Apply computer vision and video analysis techniques to identify irregularities and bugs.
• Explore advanced methods such as self-supervised learning and visual language models.
• Collaborate with QA teams to integrate AI-driven solutions into production pipelines.
• Lead technical projects and mentor team members, acting as the most senior technical expert.
• Present research papers and propose integration strategies for innovative approaches.

Ideal Profile

• Strong background in machine learning research; PhD preferred (or equivalent experience in game development).
• Expertise in Python, PyTorch, and TensorFlow.
• Experience with video-based anomaly detection, computer vision, and streaming analysis.
• Gaming industry experience is a plus.
• Ability to lead projects and guide technical direction in a fast-paced environment.

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Senior Machine Learning Engineer – High-Performance AI Systems

Location: Remote

Compensation: $250,000 – $350,000

We are seeking a Senior Machine Learning Engineer to join a team building high-performance AI systems at scale. This role sits at the intersection of machine learning, systems engineering, and product delivery, with a strong emphasis on GPU optimization, low-latency inference, and scalable ML pipelines.

This position is ideal for engineers who enjoy deep technical challenges, working close to the hardware, and developing ML solutions that are both efficient and production-ready.

Responsibilities

• Design, implement, and improve machine learning systems for large-scale datasets, including image, video, and multimodal data
• Build and optimize GPU-accelerated training and inference pipelines, focusing on throughput, latency, and reliability
• Develop performance-critical components using CUDA, C++, or other low-level systems programming techniques
• Analyze and resolve bottlenecks across models, data pipelines, and runtime infrastructure
• Collaborate with cross-functional teams to deploy and maintain ML systems in production
• Rapidly prototype, benchmark, and iterate on solutions to meet evolving technical requirements

Must have skills

• 5+ years of experience in machine learning engineering, applied research, or systems-focused ML roles
• Strong foundation in machine learning, with experience in computer vision, graphics, or multimodal systems
• Hands-on experience with GPU optimization and performance tuning, including CUDA and C++
• Proficiency in at least one modern ML framework (PyTorch, TensorFlow, or equivalent)
• Ability to write clean, maintainable code across both research and production contexts
• Experience taking ML solutions from prototypes to production
• Strong collaboration and communication skills for working in cross-functional teams

Nice to have skills

• Familiarity with generative model architectures (diffusion models, GANs, transformers)
• Experience with real-time, low-latency, or performance-sensitive systems
• Scaling training or inference across multi-GPU or cluster environments
• Exposure to simulation-driven or multimodal AI systems

Why This Role

• Work on technically challenging ML problems where efficiency and performance are central
• Ownership of both model quality and system performance
• Influence how large-scale, GPU-accelerated ML systems are designed and maintained
• Collaborate with a team solving complex problems without established playbooks

If you are passionate about building fast, scalable ML systems and enjoy tackling performance-critical engineering challenges, this role offers the chance to make a substantial impact in a high-performance AI environment.

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MACHINE LEARNING ENGINEER – MULTIMODAL AI

FULLY REMOTE

$260,000 – $325,000

An exciting opportunity for an experienced Machine Learning Engineer to join a team building next-generation multimodal AI systems for media generation. This role is ideal for someone with strong engineering skills, deep ML experience, and a passion for turning cutting-edge research into production-ready systems.

You’ll work on generative models for image and video, collaborating closely with engineering and product teams to bring AI-driven creative tools to life.

THE COMPANY

The company is a leader in AI-powered creative technology, pushing the boundaries of content creation on the browser. The engineering team is highly collaborative, fast-moving, and focused on building human-in-the-loop systems that scale.

THE ROLE

Hands-on engineering role focused on developing and deploying advanced ML models.

• Develop computer vision and generative AI models for image and video

• Prototype and iterate on research solutions under tight timelines

• Collaborate with engineering, product, and research teams to productionize models

• Ensure clean, maintainable, and high-performance code

YOUR SKILLS & EXPERIENCE

• 5+ years in ML, computer vision, graphics, or related research/engineering roles

• Strong programming skills; experience with CUDA and C++ for performance optimizations

• Experience with at least one ML framework (PyTorch, TensorFlow)

• Deep interest in human-in-the-loop systems for creativity

• Ability to rapidly prototype and iterate on solutions

• Excellent collaboration, communication, and documentation skills

HOW TO APPLY

Please register your interest by sending your resume to Calum Reid via the apply link on this page.

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Data Scientist (LLM)

Location: Chicago

Salary: Up to $134,000 + Benefits

An exciting opportunity has arisen for a Data Scientist to join a global SaaS organization that is transforming decision-making across a critical sector. With thousands of clients worldwide, this company is dedicated to delivering innovative solutions that drive measurable impact and operational efficiency.

The Role

The successful candidate will join a high-performing Analytics & Insights team, responsible for building predictive models and intelligent data pipelines that enable data-driven strategies. This position plays a key role in shaping product development and improving customer outcomes.

Key Responsibilities:

• Develop advanced statistical models and machine learning algorithms for predictive analytics and forecasting.
• Extract, clean, and transform complex datasets using SQL, Python, and modern ETL frameworks.
• Design and implement experiments to validate product impact and optimize outcomes.
• Collaborate with engineers, product managers, and domain experts to translate business challenges into data solutions.
• Implement monitoring and validation tools to ensure data quality and reliability.

What They’re Looking For

• Mid-level experience in data science or machine learning, ideally within SaaS or a data-driven industry.
• Proven track record of building and deploying end-to-end data solutions.
• Strong knowledge of statistical analysis, regression, time-series forecasting, clustering, and experimental design.
• Hands-on experience with SQL, Python (or R), and distributed data technologies (e.g., Spark, Hadoop, Kafka, or cloud platforms like AWS/GCP/Azure).
• Ability to troubleshoot and maintain scalable data workflows.
• A collaborative mindset and passion for using data to drive impact.

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Senior Machine Learning Engineer

Location: Remote (with optional hybrid New York)

Salary: Salary up to $220,000

THE COMPANY

Our client is a fast-growing, profitable technology business operating at the cutting edge of AI-driven decisioning. They partner with global brands to deliver advanced machine learning solutions that optimize real-time strategies across digital platforms.

THE ROLE

As a Senior Machine Learning Engineer, you will play a key role in building scalable ML infrastructure and deploying production-grade models that directly impact business outcomes. This is an opportunity to work on distributed systems, cutting-edge neural network architectures, and MLOps best practices in a high-performance environment.

RESPONSIBILITIES

• You will architect and train neural network models for optimization and audience modeling using PyTorch and distributed training frameworks.
• You will build multi-GPU training pipelines and implement hyperparameter tuning strategies.
• You will develop feature engineering workflows using PySpark and embedding techniques.
• You will own the ML lifecycle from training to batch inference, ensuring automation and reproducibility.
• You will implement monitoring and observability solutions to track model performance and system health.
• Collaborate with cross-functional teams to align ML initiatives with product strategy and KPIs.

REQUIREMENTS

• MSc or PhD in Computer Science, Machine Learning, or related field.
• Strong ML engineering with strong proficiency in PyTorch.
• Hands-on experience with Databricks.
• Expert-level Python and PySpark skills for large-scale data processing.
• Familiarity with cloud platforms (AWS) and data warehousing (Snowflake).
• Strong understanding of CI/CD workflows and best practices.

BENEFITS

• Competitive salary and bonus structure.
• Comprehensive health coverage.
• Generous PTO and company holidays.
• Flexible remote working options.

HOW TO APPLY

If you’re passionate about building scalable ML systems and want to work in a dynamic, innovative environment, apply today to learn more.

Desired Skills and Experience

MLOps, DataBricks

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Job Title: Staff Data Scientist

Location: Remote (US Only)

Salary: $200-250k base + equity

About the Company:

Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.

Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!

Position Summary:

As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.

Key Responsibilities:

• Utilize data-driven insights to inform decisions and drive our brand toward new milestones
• Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
• Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
• Lead data science projects, influencing strategic choices and addressing complex problems

Your Skills and Experience:

• 8+ years of experience in data science and product analytics
• Experience in the consumer technology sector
• Proficient in writing efficient SQL queries for large datasets
• Skilled in designing and analyzing A/B tests
• Strong understanding of growth strategies for consumer products
• Experience working in fast-paced startup environments
• Excellent verbal and written communication skills
• Strategic thinker with a keen focus on product development
• Innovative approach to using data to drive product strategy

To Apply for this Job Click Here

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Job Title: Staff Data Scientist

Location: Remote (US Only)

Salary: $200-250k base + equity

About the Company:

Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.

Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!

Position Summary:

As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.

Key Responsibilities:

• Utilize data-driven insights to inform decisions and drive our brand toward new milestones
• Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
• Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
• Lead data science projects, influencing strategic choices and addressing complex problems

Your Skills and Experience:

• 8+ years of experience in data science and product analytics
• Experience in the consumer technology sector
• Proficient in writing efficient SQL queries for large datasets
• Skilled in designing and analyzing A/B tests
• Strong understanding of growth strategies for consumer products
• Experience working in fast-paced startup environments
• Excellent verbal and written communication skills
• Strategic thinker with a keen focus on product development
• Innovative approach to using data to drive product strategy

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Principal AI Engineer

New York, New York – hybrid

$225,000 – $250,000 + bonus + LTI; $500,000-$700,000 total

THE COMPANY

Harnham is partnering with one of the most well known financial services companies, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying cost-saving opportunities. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment.

RESPONSIBILITIES

• Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions.

• Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.

• Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.

• Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations.

• Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.

SKILLS AND EXPERIENCE

• Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.

• Over 7 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.

• Enterprise-level application experience, ideally in real-time preferred.

• Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.

• Experience as a tech-lead for scaling MLE teams preferred.

• Commercial experience combination of big tech and scaling startups / scrappy environments a plus.

BENEFITS

The compensation package contains a base salary, bonus, LTI and a comprehensive benefits package.

HOW TO APPLY

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

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents

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