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Head of Data & Analytics
New York City (Hybrid)
Education
Salary: $270,000 – $300,000 + Bonus

Harnham is currently supporting a high-growth organization in the education sector as they look to appoint a Head of Data & Analytics. This is a senior leadership role within a well-established and innovative technology division, responsible for enabling data-driven decision-making across the enterprise.

Overview

The organization is undergoing a significant digital transformation and views data as a key strategic asset. The Head of Data & Analytics will lead a multifunctional team and oversee enterprise data architecture, reporting, advanced analytics, and data science. This individual will play a critical role in ensuring accurate, timely, and actionable insights are available to inform decisions at all levels of the business.

Key Responsibilities

• Build strong relationships with stakeholders across the business to understand and serve their data needs
• Lead and develop the enterprise data and analytics function, maintaining high standards for data quality, delivery, and insight
• Oversee data engineering and analytics processes, ensuring scalability and efficiency through automation and standardization
• Present complex data findings in a clear and actionable manner to senior leadership and non-technical audiences
• Develop and drive the strategic roadmap for analytics and AI adoption across the organization
• Collaborate with technology teams to optimize data flow and system integration
• Ensure best practices in data governance, visualization, and statistical modeling

Required Experience

• Strong track record of managing large-scale data teams encompassing data engineering, visualization, and data science
• Advanced proficiency in statistical modeling, predictive analytics, machine learning, and time-series analysis
• Hands-on experience with tools such as Python, Java, SQL, and cloud platforms like AWS or Azure
• Deep knowledge of BI platforms such as Looker, Power BI, or Qlik
• Exceptional communication and stakeholder management skills, with the ability to influence executive leadership
• Experience with agile methodologies and working in fast-paced, resource-constrained environments
• Prior exposure to education, EdTech, or public sector organizations is beneficial but not required

Why Apply?

This is a rare opportunity to lead a high-performing data team at a values-driven organization making a measurable impact in the education space. The successful candidate will play a pivotal role in shaping enterprise data strategy and enabling innovation through analytics.

To learn more or express interest in this role, please contact Oisin Ennis at Harnham for a confidential discussion.

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Lead AI Engineer – Financial Services | $200,000-220,000 + Bonus + Benefits
Location: New York, NY (REMOTE)
Industry: Financial Services

Harnham is proud to partner with a dynamic and fast-growing financial services firm which works directly with people to help along their financial journey. They are looking to hire their first Lead AI Engineer, someone passionate about building innovative machine learning solutions and driving thoughtful AI & LLM initiatives at an enterprise level.

This is a unique opportunity to take a hands-on leadership role, building machine learning and LLM capabilities, while shaping a team and strategy that supports long-term innovation and responsible AI use.

THE ROLE

As Lead AI Engineer, you will:

• Partner closely with engineering and business teams to design and deliver machine learning solutions that address complex challenges.

• Build and deploy ML and LLM models that support key initiatives in chatbot, voicebot and customer support center agents.

• Lead development of NLP applications such as text classification, summarization, and information extraction to support customer engagement and insights.

• Help define meaningful performance metrics (KPIs) for AI solutions and foster an environment of transparency and learning.

• Contribute to a culture of innovation by mentoring others, sharing knowledge, and laying the groundwork for a growing AI team.

YOUR SKILLS & EXPERIENCE

We’re looking for someone with:

• 5+ years of experience in applied data science, machine learning, or related AI fields. 2+ most recent years using LLM / RAG technologies.

• A degree in a STEM or quantitative field such as Computer Science, Engineering, Mathematics, or Statistics.

• A strong track record of translating technical work into business value, particularly with cross-functional or non-technical stakeholders.

• Experience leading projects end-to-end, with mentorship or team-building experience.

• Proficiency in Python and familiarity with LLM tools like LangChain, Hugging Face, Llama.

• Exposure to cloud platforms (AWS preferred, but not required) and data visualization tools.

• Comfort and familiarity working in fast-paced environments like hyper-growth startups is a plus.

THE BENEFITS

• Competitive salary range of $200,000-220,000

• Performance-based bonus

• Comprehensive health and wellness benefits

• Better than market average retirement match

• Opportunity to build a strategic AI function from the ground up in a highly respected firm

• Supportive, forward-thinking leadership team invested in responsible innovation

HOW TO APPLY

If you’re excited about building impactful AI solutions and leading with curiosity, care, and purpose, we’d love to hear from you.

Please submit your résumé to Tim Jonas using the “Apply” link on this page.

Keywords:
AI Engineering | Machine Learning | NLP | LLM | Large Language Models | Financial Services | Responsible AI | Python | Cloud | Data Science | Llama | Leadership | Agents | Cross-functional Collaboration | Team Management | LangChain | Hugging Face | Chatbots | Voicebots

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OMNI-CHANNEL ANALYTICS PARTNER

Ontario, Canada

Remote

A leading pharmaceutical company is looking for two Brand Analytics Partners to join their Commercial Analytics function that will play a pivotal role in shaping brand strategy through robust data insights.

The Role:

As a Omni-Channel Analytics Partner, you’ll work closely with commercial and brand teams to drive evidence-based decision-making. You’ll be hands-on with data, building models and drawing insights that directly impact brand performance.

Key Responsibilities:

• Optimize omnichannel marketing strategy – determine the right mix of channels and messaging for HCPs and patients.
• Build models to drive marketing decisions: propensity models, segmentation, next-best-action, uplift models, and more.
• Develop and evaluate attribution models, A/B tests, test vs. control frameworks, and campaign response models.
• Perform data wrangling, feature engineering, and model development using large, raw datasets.
• Translate analytics into actionable commercial recommendations across brand, sales, and digital teams.
• Collaborate cross-functionally on strategic planning and execution.

Your Skills & Experience:

To succeed in this role, you’ll need:

• Strong background in data science, statistics, or a STEM field.
• Proficient in SQL and Python (R a plus) – hands-on with large datasets.
• Able to build, validate, and interpret complex models.
• Experience with commercial or omnichannel analytics in pharma, healthcare, or digital media.
• Familiarity with claims, field sales, or prescription data.
• Comfortable presenting data-driven insights to non-technical stakeholders.

Apply Below!

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Senior CRM Performance Manager

Location: Hybrid – 2 days/week in Leicester

Salary: Up to £80,000 + 5% bonus

The Company

A high-growth consumer membership business offering exclusive offers and experiences to key workers across the UK and beyond. With over 4 million active members and 15,000+ brand partnerships across retail, entertainment, and travel, this business is scaling its CRM capabilities to deliver greater personalisation, engagement, and performance across its customer base. The Senior CRM Performance Manager will sit within the Lifecycle CRM team, owning tactical CRM performance delivery and working closely with commercial, trading, and partnerships teams to align on strategic goals.

The Role

This is a strategic and hands-on CRM role leading the performance arm of the lifecycle CRM function. You’ll represent CRM in daily and weekly trading meetings, feed campaign performance into commercial strategy, and shape tactical execution. With line management responsibilities and close collaboration with stakeholders across trading, commercial, and partnerships, you’ll have ownership over CRM-led growth and engagement initiatives.

Key Responsibilities

• Own CRM performance reporting, KPIs, and tactical campaign impact for lifecycle initiatives.
• Represent CRM at key commercial and trading meetings, aligning offer-led CRM comms with wider business goals.
• Develop and iterate a test-and-learn framework across lifecycle and trading comms to optimise engagement and conversion.
• Use behavioural, product, and commercial data to improve segmentation and personalisation.
• Plan, execute and measure CRM campaigns (email, push) across multiple product lines and customer cohorts.
• Lead and mentor a team of 3 CRM Executives and Analysts.
• Partner with analytics and data engineering teams to ensure campaign measurement is robust and scalable.
• Continuously improve lifecycle campaign performance – focusing on offer engagement, CTR, and ROI.

Skills & Experience

Essential:

• Strong experience in CRM/lifecycle marketing roles, ideally within fast-paced consumer or membership-based businesses.
• Proven track record of improving CRM campaign performance across email and push channels.
• Comfortable owning reporting, insight, and test design – strong Excel/Google Sheets skills essential.
• Excellent stakeholder management and ability to influence cross-functional teams.
• Experience in line management or mentoring CRM team members.
• Strong understanding of customer segmentation, engagement metrics, and campaign planning.

Desirable:

• Hands-on experience with CRM platforms such as Braze, Salesforce, or Iterable.
• Familiarity with HTML or Liquid templating for email customisation.
• Exposure to subscription-based or loyalty programme environments.
• Prior experience working closely with data/analytics teams on CRM measurement.

Interview Process

• 1st Stage: Introductory screen with Talent (Background & Motivation)
• 2nd Stage: Technical / Experience-Based Interview with Hiring Manager
• Final Stage: Task Presentation & Stakeholder Q&A

How to Apply

Send your CV to Mohammed Buhariwala at Harnham using the apply link on this page or reach out directly to discuss the role in more detail.

Keywords

CRM, Lifecycle Marketing, Customer Retention, Email Campaigns, Push Notifications, CRM Strategy, Trading Campaigns, Stakeholder Engagement, Marketing Automation, Braze, Segmentation, Loyalty, Retention, CRM Analytics, Hybrid, Leicester.

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BRAND ANALYTICS PARTNER

Ontario, Canada

Remote

A leading pharmaceutical company is looking for two Brand Analytics Partners to join their Commercial Analytics function that will play a pivotal role in shaping brand strategy through robust data insights.

The Role:

As a Brand Analytics Partner, you’ll work closely with commercial and brand teams to drive evidence-based decision-making. You’ll be hands-on with data, building models and drawing insights that directly impact brand performance.

Key Responsibilities:

• Analyse and interpret claims, sales, and field data to assess brand performance in the real world.
• Build statistical and machine learning models (regression, time-series, clustering) to explain or predict trends.
• Translate complex data into commercial insights to guide marketing, sales, and access strategy.
• Support occasional omnichannel analytics work – though focus remains on non-media datasets.
• Work cross-functionally with stakeholders across Brand, Sales, and Market Access.

Your Skills & Experience:

To succeed in this role, you’ll need:

• A strong foundation in data science / statistical modeling – able to build, validate, and interpret models.
• Proven experience with commercial analytics in pharma or a related industry.
• Proficiency with analytical tools such as Python, R, SQL, or similar.
• Comfort navigating and extracting insight from large, messy datasets.
• Experience working with real-world data sources such as claims, field sales, or prescription data.

Apply Below!

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PRICING MODELLING ANALYST

UP TO £45,000

REMOTE (London)

This is an exciting opportunity to take ownership of the pricing models and innovate and refresh predictive models within this companies predictive modelling suite.

THE COMPANY

This company is an exciting, growing business in the insurance space, offering an array of home insurance products.

THE ROLE

You will be doing the following daily:

• Develop, innovate, and update predictive models within the retail pricing system.
• Ensure models directly impact pricing, enhance customer experience, and boost commercial performance.
• Run split tests on existing models, track results, and recommend improvements.
• Work with the Senior Pricing Analyst to adjust price selection logic based on trading performance.
• Coordinate with Retail Pricing, Technical Pricing, Data Science, Software Engineering, and Marketing teams to provide insights that drive business performance.
• Utilize SQL for data access and Python for data processing, modeling, and pricing.
• Work within custom-built software for optimal price setting, rather than relying on standard price tools.
• Analyse data from millions of quotes to identify revenue growth opportunities through pricing strategies.
• Operate in a fast-paced setting, implementing frequent price adjustments and observing results quickly.
• Collaborate with software developers to adapt and optimize the pricing tools based on identified market opportunities

YOUR SKILLS AND EXPERIENCE

• Previous modelling experience in an insurance setting is ideal.
• Strong Python skills are desirable.
• Highly analytical.
• Numerate degree from a Russel Group university.
• Excellent written and verbal communication skills.

THE BENEFITS

• Up to £45,000.
• Flexible working, mostly hybrid.
• Discretionary bonus.

HOW TO APPLY

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

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Role: Senior Software Engineer (Python)
Salary: £100,000-£110,000 + Bonus
WFH: Hybrid – 2-3 days/week in-office (Central London)

Overview

Our client is a profitable and fast-growing UK fintech helping over 800,000 customers improve their financial health. Backed by strong leadership and AI-driven innovation, the company is building a brand-new mobile app and scaling its engineering team to support rapid product delivery.

They’re now hiring a Senior Python Engineer to join this lean, high-impact team and help shape the future of fair, tech-driven credit products.

Key Responsibilities

• Design, build and scale modern APIs and backend services in Python
• Lead technical delivery across greenfield and legacy systems
• Collaborate closely with product and DevOps teams
• Write maintainable, testable, high-performance code
• Influence architecture and mentor junior engineers
• Balance delivery with strategic thinking in a fast-moving environment

Ideal Candidate

• 7+ years of experience in software engineering
• Strong Python (FastAPI, Flask, or Django preferred)
• AWS or Azure cloud exposure
• Frontend awareness (e.g. React)
• Agile mindset; thrives in lean, delivery-focused teams
• Passionate about AI and emerging tech
• Holds a STEM degree (Russell Group or Red Brick ideal)
• UK, ILR or Settled Status required (no sponsorship available)

Benefits

• Up to £110,000 base salary
• Company bonus scheme
• Hybrid working (2-3 days/week in-office)
• 25-30 days holiday + bank holidays
• Enhanced pension & life cover
• Ongoing training and mentoring
• Inclusive, ambitious team culture

Interview Process

1. HR Intro + CV Review
2. Technical Deep Dive
3. Python Task or Design Challenge
4. Final with CEO + Leadership (vision & ambition focus)

This is a rare chance to join a profitable fintech scaling fast – and help redefine access to fair financial products in the UK.

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Senior Revenue Management Analyst
£50,000-£55,000 + excellent rail benefits + final salary pension
Hybrid (2-3 days office-based, South East)

Are you commercially minded with a knack for data and a passion for turning insight into action? This is a great opportunity to join the commercial function of a major UK transport provider in a high-impact analytical role.

As a Senior Revenue Management Analyst, you’ll take ownership of a specific route and be responsible for monitoring, reporting on, and optimising revenue performance. This is a hands-on role combining regular analysis with strategic input and live decision-making.

What you’ll be doing:

• Lead revenue management for a key route, making data-led decisions to optimise performance

• Produce weekly route reports and industry-standard four-weekly reports for senior stakeholders

• Monitor current sales and take real-time action where performance dips

• Collaborate across teams to drive commercial strategy and support wider revenue initiatives

• Use your insight to propose new ideas and influence future decisions

What we’re looking for:

• Strong Excel skills and confidence working with large datasets

• Willingness to learn and use a bespoke revenue management system (training provided)

• Commercially aware, proactive, and comfortable making informed decisions

• A team player who’s happy to support others when needed

• Enthusiastic, detail-oriented, and curious – someone who wants to make an impact

Desirable (but not essential):

• Experience in revenue management, pricing, transport, or regulated industries

• A genuine interest in the rail sector and a desire to understand how it works

• Exposure to forecasting, modelling, or working closely with finance teams

Why join?

• Final salary pension scheme

• Free rail travel on the network for you, your partner, and dependents

• 75% discount on rail travel across the UK

• A growing, data-focused commercial team making a real difference

• Hybrid working with a collaborative and supportive team culture

Interview process:

• Stage 1: 30-minute Teams interview (introductory and values-based)

• Stage 2: In-person Excel/data task followed by a competency-based interview

If you’re ready to apply your analytical skills in a dynamic and meaningful environment, we’d love to hear from you.

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PRODUCT MANAGER CRO
AIX EN PROVENCE
60-70K€

Rejoignez une scale-up e-commerce avec des ambitions de croissance fortes et des budgets marketing à très grande échelle. Dans le cadre d’une structuration de la fonction produit, l’entreprise recrute un(e) Product Manager CRO pour prendre en main tous les sujets liés à l’optimisation du funnel de génération de leads et à l’activation des différents leviers d’acquisition.

VOTRE RÔLE

• Définir et piloter une roadmap d’acquisition sur 6-12 mois, avec une vision ROIste et orientée résultats.
• Travailler sur les leviers principaux d’acquisition : SEO, SEA, SMA.
• Lancer et suivre des A/B tests sur les différents points du funnel (inscription, réassurance, formulaires, collecte de données).
• Identifier les pain points des utilisateurs et les transformer en leviers de croissance.
• Collaborer avec l’agence externe pour revoir la stratégie d’acquisition et challenger les pratiques existantes.
• Suivre de près les KPIs (visiteurs, leads, taux de conversion, scoring des inscrits…).
• Objectif : +15 % d’uplift sur la transformation visiteurs → leads.

VOTRE PROFIL

• 4 à 6 ans minimum d’expérience produit ou growth dans un environnement e-commerce à fort trafic.
• Vous avez déjà optimisé un funnel d’acquisition à fort volume (top 100 des sites FR ou équivalent).
• À l’aise avec les tests d’optimisation, les outils analytics et la data produit.
• Excellente compréhension des enjeux business et marketing, vous savez parler en ROI, en impact, en outcomes.
• Assertif(ve), rapide à comprendre les enjeux et autonome dans la structuration de votre périmètre.
• Expérience avec un outil de test type AB Tasty ou équivalent est un plus.

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Analytics Manager

Location: Hybrid (2-3 days/week in Trowbridge)
Salary: Up to £55,000 + benefits

Are you passionate about data and solving real-world business problems? Our client, a well-established multinational food business, is seeking a hands-on Analytics Manager to join their high-performing data team.

About the Role

This role sits within the Forensic Analytics function – focused on deep-dive analysis and strategic problem-solving. You’ll work across international B2B and D2C markets, delivering actionable insights on key business questions like:

• “Why are sales dropping in this category?”

• “How can we improve logistics efficiency?”

• “Is 350 products the right number for our portfolio?”

You’ll collaborate with stakeholders, shape analytics roadmaps, and lead projects from data exploration to insight delivery.

Key Responsibilities

• Define analytical approaches to tackle business challenges

• Identify and explore relevant data sources

• Deliver clear, insight-driven storytelling using visualisation tools

• Analyse marketing campaign performance (MMM, attribution, ROI)

• Support commercial strategy through segmentation and customer insights

What We’re Looking For

• Strong SQL and data visualisation skills (e.g. Tableau, Power BI)

• 3+ years in marketing or commercial analytics

• Experience with campaign analysis and business performance insight

• Excellent communication and stakeholder management

• Bonus: Python experience or a consulting background

Why Join?

• Join a data-rich, insight-driven organisation with a strong ethical mission

• Work within a team of 16 data professionals, reporting to a senior leader with 1 direct report

• Exposure to both operational and strategic analytics challenges across international markets

Benefits

• 25 days holiday + bank holidays (with option to buy more)

• Discretionary bonus scheme

• Matched pension contributions (up to 4%)

• Life assurance

• Free on-site parking & subsidised canteen

• Staff perks & discount scheme (tech, retail, lifestyle)

• Free Christmas gift (turkey or voucher)

Interview Process

• Stage 1: Video interview with VP of Data

• Stage 2: In-person interview with senior leadership

• Stage 3: Stakeholder interviews (cross-functional assessment)

• Includes verbal and numerical reasoning assessments

If you’re ready to turn data into business value – apply today.

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Senior Customer Analyst – FTC (7 Months) | Up to £60,000 + Bonus + Benefits
Location: Watford (2-3 days in office, flexible hybrid model)
Contract: Fixed-Term Contract (7 months)
Sector: Global Retail

A leading global retailer is seeking a Senior Customer Analyst to join a rapidly growing customer analytics team. With 4,500+ stores across 9 countries, this brand is best known in the UK and Europe for its off-price retail model, including a popular high-street fashion chain.

This is an exciting opportunity to join a fast-evolving analytics function, working on high-impact projects such as store clustering, customer segmentation, and retail sales drivers. You’ll play a key role in uncovering insights that inform strategy across marketing, customer loyalty, and performance.

What You’ll Do:

• Own end-to-end analytical projects using SQL and customer data

• Collaborate with stakeholders to deliver actionable insights

• Present and communicate complex findings through compelling data storytelling

• Contribute to the growth and maturity of a young analytics function

Core Skills:

• 3+ years of advanced SQL experience (essential)

• Strong data storytelling and stakeholder communication

• Background in working with relational databases, customer data, and marketing/CRM functions

• Familiarity with Python or R (advantageous)

• Exposure to GA, email marketing analytics, or retail data (nice to have)

Who You Are:

• Commercially minded and insight-driven

• Proactive and comfortable working in a small, non-agile, high-collaboration team

• Passionate about solving business problems with data

• Able to work independently and hit the ground running

Why Join?

• Flexible hybrid working (typically 2-3 days in-office, with emphasis on collaboration)

• Up to 16% performance bonus + stock worth ~£32k + healthcare & more

• Loyalty bonus after 3 years (if made permanent)

• Office located directly opposite the station for easy commute

Interview Process:

• 1st stage: Interview with the team

• 2nd stage: SQL/insight-based task

• Final stage: Sign-off conversation (if needed)

Apply via the link below !!!

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