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SENIOR DATA SCIENTIST – SEARCH AND RECOMMENDATIONS

SAN FRANCISCO BAY AREA (HYBRID)

$160,000 – $190,000 BASE SALARY + EQUITY

ABOUT THE ROLE

We’re seeking a Data Scientist II to drive next-generation personalization and discovery for a fast-growing social commerce marketplace. You’ll partner with Machine Learning Engineers and product teams to design, build, and deploy models that impact millions of daily buyers and sellers. This is a high-impact, hands-on position ideal for someone passionate about transforming large-scale data into measurable business outcomes.

KEY RESPONSIBILITIES

• Model Development: Build and refine recommendation, personalization, and ranking models that scale to millions of users and hundreds of thousands of new listings each day.
• Experimentation: Design and analyze A/B tests, iterating on metrics such as click-through rate, conversion, and listing quality.
• Collaboration: Work closely with MLEs to move models from prototype to production, ensuring performance and reliability.
• Data & Insights: Explore large-scale marketplace data to identify trends, create features, and improve model accuracy.
• Cross-Functional Impact: Partner with product, engineering, and analytics stakeholders to translate business needs into technical solutions.

REQUIREMENTS

• 3+ years of applied data science or machine learning experience
• Proficient in Python and deep learning frameworks (PyTorch or TensorFlow)
• Hands-on with recommendation, ranking, or personalization models at consumer scale
• Skilled in working with high-volume data and deploying production ML systems
• Knowledge of full ML lifecycle: development through monitoring
• Familiar with modern data infrastructure (Databricks, Feature Stores) and cloud platforms (GCP/AWS)

Why Join

• You’ll join an expanding AI/ML team that’s scaling rapidly to support multiple product squads, offering opportunities to work on cutting-edge projects and deepen your technical expertise. Expect mentorship from senior staff scientists, visibility across teams, and the chance to shape personalized shopping experiences for millions of global users.

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Role Overview

We’re looking for a hands-on Staff Machine Learning Engineer who can own the entire lifecycle of GenAI product development – from research to production. This is a highly technical, autonomous role working in a fast-paced environment with strong emphasis on ownership, product impact, and technical excellence.

What You’ll Do

• Lead delivery of end-to-end ML/GenAI products (research → data prep → fine-tuning → RAG → production).
• Fine-tune large language models (LLMs) using advanced techniques (LoRA, QLoRA, RLHF with PPO/DPO).
• Design and build RAG architectures to integrate domain knowledge into models.
• Apply reinforcement learning methods to optimize model performance.
• Build agentic workflows (reasoning, planning, tool use, task orchestration).
• Collaborate across small, high-talent teams to ship AI features with real-world impact.

What We’re Looking For

• 6+ years of ML engineering experience, with proven production-grade GenAI delivery.
• Strong expertise in:
• LLM fine-tuning (LoRA, QLoRA, RLHF).
• RAG systems and retrieval pipelines.
• Reinforcement learning (PPO, DPO, RLHF).
• Tools: HuggingFace, DeepSpeed, vLLM, Weights & Biases.
• Strong understanding of neural networks and modern LLM architectures.
• Experience with agent frameworks (LangGraph, CrewAI, AutoGen) – nice to have.
• Startup or top tech company background preferred; fintech exposure a plus.
• Strong communication, ownership mindset, thrives in ambiguity.

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The Opportunity

This newly created leadership role reports directly to the VP of Marketing Analytics and is a critical hire as we scale our affiliate and partner channels. We are seeking a hands-on player/coach who can own end-to-end affiliate analytics, optimize partner performance, and scale monetization models. This is a chance to build and lead a growing analytics function while making a direct impact on ROI across a portfolio of ~150 affiliate partners.

What You’ll Do

• Lead affiliate analytics, reporting, and insights across ~150 partners, focusing on performance, conversion, and ROI.
• Build and optimize dashboards/BI tools (Sigma preferred; Tableau/Power BI acceptable).
• Develop funnel metrics and monetization models to guide partner strategy and spend allocation.
• Collaborate closely with affiliate managers, VP-level leadership, Finance, and Data Engineering.
• Design incrementality models to measure the true value of affiliate traffic.
• Present insights and recommendations directly to senior leadership (including CMO).
• Manage, mentor, and develop a team of two senior analysts (US + Dominican Republic).

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Job Title: Director of AI Transformation, Higher Education

Location: Fully Remote (U.S. based)

Comp: Up to $265,000 base + 15% annual bonus

Role & Company Overview

We’re working with a leading name in educational technology, serving millions of learners across K-12 and higher education. This role sits within the Data Enterprise Group and reports directly to the Chief AI Officer.

As the Director of AI Transformation, you’ll lead the company’s higher education AI strategy-developing and scaling intelligent systems that power personalized learning, adaptive content, and data-driven student outcomes.

This is a high-impact leadership role balancing strategy, technical direction, and collaboration-ideal for someone who loves both leading teams and shaping what applied AI looks like at enterprise scale.

Responsibilities

• Lead and grow a team building and deploying AI solutions for higher education customers.
• Drive the roadmap for AI applications spanning content summarization, adaptive learning, recommendations, and metadata-driven personalization.
• Provide technical guidance in areas like LLMs, data architecture, and ML Ops while ensuring models are scalable, responsible, and production-ready.
• Collaborate with engineering, product, and data teams to align AI initiatives with business goals.
• Foster a culture of innovation, responsible AI use, and continuous learning within your team.
• Engage with institutional stakeholders to turn real-world academic challenges into AI-powered solutions.

Approximate focus areas:

• 5% hands-on coding
• 20% architecture and technical guidance
• 35% stakeholder collaboration
• 35% people leadership

Requirements

• PhD in Applied Math, Statistics, Physics, Data Science, Machine Learning, or a related field.
• 10+ years of experience in AI or data-driven transformation roles.
• Strong expertise with PyTorch, TensorFlow, LLM applications, and deploying AI models to production.
• Deep understanding of ModelOps, data architecture, evaluation, and orchestration frameworks.
• Proven leadership of technical teams and success scaling high-performing AI orgs.
• Ability to translate complex AI initiatives into actionable, measurable outcomes for business and product partners.
• Excellent communication skills and experience working across executive and technical groups.

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Staff AI Engineer – Agentic Solutions

Location: Onsite – San Francisco or Menlo Park

Compensation: Base to $225,000 + Bonus + RSUs (Total ~ $400,000 annually)

Role Overview

Seeking a Staff-level AI Engineer to lead a high-impact team building and deploying agentic AI solutions at scale across a major financial services institution. This role is responsible for reducing operational costs across millions of transactions by architecting and implementing robust, enterprise-grade agentic systems in the cloud. The solutions built will touch every division and business line, demanding technical rigor and innovative problem-solving.

Responsibilities

• Lead the design, development, and deployment of agentic AI applications across multiple cloud environments and business units
• Build production-grade, scalable solutions handling millions of transactions daily in a highly regulated, large-scale FS context
• Deploy and fine-tune Large Language Models (LLMs) and agentic architectures for enterprise-wide, customer-facing use cases
• Partner with business stakeholders and engineering leaders to translate enterprise objectives into lasting, measurable value
• Drive end-to-end AI project development: definition, proof-of-value, robust engineering, deployment, and enterprise integration
• Mentor and guide a technical team focused on blending ML science and software engineering for scalable, real-world impact
• Ensure AI systems meet stringent regulatory, security, and compliance standards inherent to the financial industry
• Contribute to the vision for next-generation, cost-reducing AI solutions that accelerate innovation across the firm

Requirements

• 8+ years’ professional experience developing and delivering large-scale AI/ML solutions in a commercial setting, preferably within a MAANG, leading fintech, or high-velocity unicorn startup
• Expertise deploying LLMs and intelligent agents in production for enterprise/customer-facing use
• Strong blend of applied machine learning, MLOps, and software engineering
• Experience architecting and supporting cloud-native, agentic solutions in highly complex, high-transaction environments
• Ability to collaborate across cross-functional and business-facing teams, translating sophisticated AI techniques into clear business outcomes
• Applied experience (not just theoretical or publication-focused) in quantitative investment workflows, such as equities, fixed income, or multi-asset strategies, is a major plus

Nice to Haves

• Familiarity with the regulatory and compliance landscape of financial services AI deployment
• Experience building products for large-scale, consumer-facing environments
• Hybrid background in both applied research (not solely academic) and hands-on engineering

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Associate Director, Omnichannel Data Science

Remote – US | $200,000 base + 20% bonus

Shape the Future of Pharma Engagement with Data & AI

This is your opportunity to step into a newly created role at a top-tier global pharmaceutical company that is redefining how it connects with patients and healthcare professionals. With record-breaking growth behind them and a multi-year investment in analytics ahead, they’re building one of the most advanced data science teams in the industry.

As the Associate Director, Omnichannel Data Science, you won’t just follow a playbook-you’ll write it. You’ll lead the design of next-generation recommendation systems, architect Next Best Action/Next Best Engagement models, and bring to life in-house Marketing Mix Modelling that will directly shape strategy for a flagship therapeutic brand.

Why This Role Matters

Your work will directly influence how millions of patients and providers experience healthcare communications. From optimizing omnichannel investment to personalizing engagement at scale, you’ll be driving the analytics that fuel both commercial success and patient impact.

What You’ll Lead

• Designing and deploying machine learning recommender systems to power personalization and engagement
• Building and scaling Next Best Action/Next Best Engagement models to guide customer interactions
• Developing in-house Marketing Mix Modelling capabilities in Python
• Partnering with senior commercial and marketing leaders to embed data-driven decision-making
• Defining and operationalizing KPIs that set the standard for omnichannel effectiveness

What You Bring

• Proven expertise in Marketing Mix Modelling and advanced statistical techniques
• Hands-on experience building and deploying machine learning models for personalization/recommendation
• Proficiency in Python and SQL
• Strong STEM background and analytical problem-solving mindset
• Experience working with digital marketing / media datasets
• Exceptional communication and stakeholder management skills
• (Pharma background is a plus, not a requirement)

The Package

• Base salary up to $200,000
• 20% bonus
• 6% 401k match
• Full medical, dental, vision + generous PTO

Location: Remote, US (Central Time Zone preferred)

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LEAD DATA ANALYST – LONDON

UP TO £80,000

THE COMPANY

We are working with a green tech, PE backed business on a key Analytics hire.

THE ROLE

The successful Lead Data Analyst responsibilities will include:

• Lead end-to-end analytical projects across pricing, promotions, and customer segmentation, delivering insights that drive commercial performance.
• Develop and deploy predictive models to forecast demand, optimise price elasticity, and measure promotional effectiveness.
• Translate analytical outputs into clear, actionable recommendations for commercial, marketing, and finance stakeholders.
• Partner with senior leaders to shape strategy, influence decisions, and embed data-driven thinking across the business.

YOUR SKILLS AND EXPERIENCE

The successful Lead Data Analyst will have the following skills and experience:

• Strong technical skills in SQL and Python, with experience in building models for pricing, forecasting, or customer segmentation.
• Proven experience applying predictive modelling and statistical techniques to solve commercial challenges.
• Excellent stakeholder management – able to work autonomously, prioritise effectively, and communicate complex insights with clarity.
• A proactive, ownership-driven mindset, comfortable operating in a fast-paced, entrepreneurial environment.

THE BENEFITS

The successful Lead Data Analyst will receive a salary of up to £INSERT, plus an array of additional benefits.

HOW TO APPLY:

Please register your interest by sending your CV to Harry Mincer via the apply link below.

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Brand Analytics Lead – Oncology

US Remote

Salary: $141,000 – $205,000 + Bonus + LTI

Are you ready to lead brand analytics at the intersection of data and strategy? A global biopharma leader is hiring a hands-on Brand Analytics Lead to support their oncology portfolio. This is a high-visibility role, working day-to-day with Brand General Managers and senior stakeholders to turn complex data into actionable business insight.

THE COMPANY

This is a top-tier, global pharmaceutical company with a strong oncology pipeline. They invest heavily in analytics to ensure medicines reach the right patients at the right time. Their culture values innovation, collaboration, and patient-centric impact.

THE ROLE

As Associate Director, Brand Analytics, you will:

• Lead analytics for a key oncology brand, supporting strategic decision-making across marketing, sales, and commercial operations.
• Work hands-on with Python, SQL, and other tools to analyze claims, sales, and patient-level data (e.g., Symphony, IQVIA NPA).
• Build models and develop business rules to identify patient populations, track persistency, evaluate survival curves, and uncover market opportunities.
• Partner closely with Brand GMs, Directors, and cross-functional teams to translate analytics into actionable strategy.
• Provide guidance and mentorship to junior team members, while remaining deeply involved in project execution.

YOUR PROFILE

• 6+ years in pharmaceutical or consulting-to-pharma analytics.
• Strong Python and SQL skills, with experience in claims/sales data, patient-level analysis, and model building.
• Experienced in applying analytics to strategic questions: evaluating brand performance, identifying growth opportunities, and shaping investment decisions.
• Excellent communication skills and ability to interact with senior stakeholders, translating technical findings into business insights.
• Hands-on leader: capable of managing projects and guiding others while staying technically engaged.

Preferred Experience:

• Some familiarity with MMM (Marketing Mix Modeling) or advanced statistical techniques.
• Experience working with global or cross-divisional commercial teams.

BENEFITS

• Base salary up to ~$200K (flexible for the right candidate)
• Annual bonus & long-term incentive plan
• Comprehensive healthcare, 401(k) with match, generous PTO
• Hybrid working model with flexibility

This is a unique opportunity for a senior analytics professional to shape strategy at a global level, while staying hands-on with the data that drives brand performance.

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Lead/Principal Data Scientist

London – 3 days a week

Up to £135,000

About the Company

We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance.

They’re now hiring a Lead/Principal Data Scientist to lead machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes.

This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy.

Key Responsibilities

• Translate complex business problems into measurable data science solutions that deliver commercial value
• Lead the design, development, and deployment of predictive and optimisation models across multiple industries
• Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment
• Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions
• Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices
• Communicate findings and strategic insights to both technical and non-technical stakeholders

Requirements:

You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy.

• Proven experience applying data science in commercial settings
• Proven ability to lead data science projects from concept to production
• Deep understanding of statistical modelling, predictive analytics, and optimisation techniques
• Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders
• Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university
• Excellent communication skills and a collaborative mindset

Please note: This role cannot offer VISA sponsorship

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LEAD MARKETING ANALYST

UP TO £90,000

FULLY REMOTE – MUST BE UK BASED

THE COMPANY

A leading gaming studio, undergoing major transformation following private equity backing and the appointment of a new CEO are now looking for a Lead Analyst to take them to the next level!

THE ROLE

As Lead Marketing Analyst, you will:

• Take full ownership of marketing analytics across the business.
• Line manage one Senior Analyst while acting as the senior layer of expertise in the team.
• Drive projects around LTV modelling, attribution, and subscription analytics.
• Analyse and optimise the entire marketing funnel to support acquisition and retention.
• Deliver insights that directly influence commercial and marketing strategy.
• Work closely with the CMO, presenting to the board and SLT, and communicating insights to both technical and non-technical audiences.

YOUR SKILLS AND EXPERIENCE

• Proven experience in marketing analytics, ideally within gaming, e-commerce, adtech, or other B2C businesses.
• Strong SQL skills essential.
• Proficiency with data visualisation tools (Power BI, Looker).
• Familiarity with Snowflake desirable.
• Experience in modelling (LTV, attribution) highly valuable.
• Strong stakeholder management and communication skills
• Line management experience a plus, though not essential.

BENEFITS

• Remote-first business
• Opportunity to lead the marketing analytics function during a key growth phase.
• High visibility role with direct impact on commercial strategy.
• Competitive salary, bonus, and benefits

HOW TO APPLY

Express your interest by sending your CV via the apply link on this page

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GROWTH & ACQUISITION MANAGER

UP TO £55,000
EDINBURGH – 3X A WEEK IN OFFICE

*Please note, you must live within an hour commuting distance to Edinburgh and have full UK right to work*

ABOUT THE BUSINESS

A fast-growing UK e-commerce brand in the ready-meals space, specialising in high-quality ambient meals designed for convenience and long shelf-life. With nationwide next-day delivery, the business is rebranding and scaling, targeting a customer base that values ease, independence, and reliable service.

THE TEAM

You’ll join a small but agile Marketing team, reporting into the Head of Brand and working closely with the Brand Manager (retention) and Product Manager. This is a hands-on environment where collaboration is key – campaigns move quickly from ideation through to execution and measurement.

At this level, you’ll be the growth specialist in the team, trusted to shape and deliver the acquisition strategy end-to-end while leveraging support from agencies and colleagues where needed.

THE ROLE

This is a brand-new position with a clear focus: driving new customer acquisition and converting them into loyal, repeat purchasers. You’ll be responsible for developing and delivering integrated growth campaigns across both online and offline channels, while managing significant budgets and optimising performance at every stage of the funnel.

Key responsibilities include:

• Designing and executing multi-channel growth and acquisition strategies (digital + offline)
• Developing campaign messaging, activation, and end-to-end delivery
• Managing and optimising customer acquisition journeys and conversion funnels
• Overseeing significant marketing budgets (£1M+) and ensuring ROI
• Working cross-functionally with product, brand, and external agencies to deliver impact
• Contributing to CRM development and lifecycle marketing as the function expands

SKILLS & EXPERIENCE REQUIRED

• Hands-on experience in growth and acquisition, ideally within e-commerce, FMCG, or food
• Proven track record managing £1M+ marketing budgets
• Experience across both digital and offline acquisition channels (e.g. social, search, TV, radio, press, direct mail)
• Strong data-driven mindset with ability to analyse, test, and optimise campaigns
• Strategic thinker who is also comfortable being hands-on
• Experience working in-house within a fast-growing £10M+ brand
• Excellent communication and stakeholder management skills
• Edinburgh-based (or able to relocate within an hour’s commute)

Nice to have:

• Exposure to CRM buildouts and lifecycle marketing (Mailchimp or similar)
• Experience with consumer subscription models
• Familiarity with analytics tools (Google Analytics, Looker)
• Understanding of older adult consumer demographics

WHY APPLY?

• Play a pivotal role in shaping the growth strategy of a fast-scaling e-commerce brand
• Lead significant acquisition projects with both online and offline reach
• Hybrid working in modern offices in central Edinburgh
• Collaborate with a close-knit, hands-on team while driving big-budget campaigns
• Opportunity to make a visible impact on customer growth and retention strategy

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SENIOR DIGITAL PRODUCT ANALYST

£55,000 – £65,000

LONDON – 4X A WEEK

*Please note, this company is unable to sponsor, and you must be a UK resident to apply*

THE COMPANY

Join a fast-growing analytics team within a leading retail group that owns a diverse portfolio of high-street and digital brands. The business has been rapidly expanding and investing in its data capabilities over the past 18 months. This role sits within the Product Analytics pillar of the team and focuses on measuring and optimising product performance across the group’s extensive brand portfolio. You’ll report to the Analytics Lead and work closely with stakeholders across the business to drive insight-led decision making.

THE ROLE

This company is looking for a Digital Product Analyst to join and help measure and optimise digital product performance. The ideal candidate will have strong experience in digital journey analysis, on-site tracking metrics, and tools like SQL/BigQuery and GA4 (or Adobe Analytics). This role requires hands-on product/on-site analytics experience, familiarity with A/B testing, and the ability to collaborate with the GTM implementation team. They’ve recently migrated to GCP, with the platform fully set up and operational. You will have 2 junior team members reporting into you.

SKILLS + EXPERIENCE

• Google Analytics 4 (open to Adobe Analytics profiles)
• SQL/BigQuery
• Web/Digital/Product Analytics experience – onsite customer journey analysis focus and metrics is key
• Ability to collaborate with the Digital Implementation team (Google Tag Manager)
• Exposure to AB testing

HOW TO APPLY

If this sounds like the role for you, swiftly send over your CV to Izzi at Harnham by using the link below.

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