Senior Data Scientist – (MMM)
London / £70000 - £90000 annum
INFO
SALARY:
£70000 - £90000
LOCATION
London
Permanent
UK Remote | Up to £90,000
If you're passionate about using advanced analytics to shape marketing investment decisions and want to work in an environment where data directly influences business strategy, this is an excellent opportunity. You'll own high-impact measurement initiatives, drive experimentation, and help establish best practices across a growing data function.
The Company
They are a fast-growing digital business operating within a consumer-focused marketplace, connecting customers with unique experiences through a highly engaged platform. With a strong data-driven culture and a commitment to innovation, they place analytics at the heart of commercial decision-making.
Their teams work collaboratively across marketing, product, and data, using modern technologies and advanced modelling techniques to solve complex business challenges. They offer a flexible, remote-first environment where autonomy and ownership are highly valued.
The Role
- Own and continuously improve the organisation's Marketing Mix Modelling (MMM) framework using tools such as Meridian, Robyn, or PyMC-Marketing
- Deliver actionable budget allocation recommendations through response curve analysis, saturation modelling, and marginal CAC insights
- Design, validate, and analyse incrementality tests including geo experiments, lift studies, holdouts, and causal impact analyses
- Measure and improve marketing effectiveness across paid media channels including Google and Meta
- Develop and maintain Lifetime Value (LTV) models to support acquisition, retention, and budget planning decisions
- Apply predictive modelling and uplift modelling techniques to optimise customer targeting and campaign performance
- Work closely with marketing stakeholders to translate statistical findings into clear commercial recommendations
- Champion robust experimentation standards and causal measurement methodologies across the business
- Leverage AI tools to accelerate analysis, experimentation design, and insight generation while maintaining analytical rigour
- Strong commercial experience in Marketing Mix Modelling, incrementality measurement, or marketing analytics
- Deep understanding of statistical analysis, hypothesis testing, regression techniques, confidence intervals, and causal inference
- Experience designing and evaluating marketing experiments and lift studies
- Advanced SQL skills and hands-on Python experience, ideally including pandas, scikit-learn, statsmodels, or similar libraries
- Familiarity with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
- Understanding of digital advertising platforms, attribution challenges, privacy changes, and value-based bidding approaches
- Strong communication skills with the ability to influence non-technical stakeholders and senior decision makers
- Experience working with AI-assisted analytical workflows and experimentation processes
To find out more about this Senior Data Scientist opportunity, please apply with your CV for a confidential discussion.
CONTACT
Joe Kourtis
Recruitment Consultant
SIMILAR
JOB RESULTS
CRM Executive
London
£30000 - £35000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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CRM Executive | Fashion Retail | London | Up to £35k
We’re working with a well-known British fashion retailer that is growing its CRM team and looking to hire a CRM Executive in London.
This is a great opportunity for someone with 1 to 2 years’ experience in CRM or email marketing and a genuine passion for retail.
The role will involve:
- Briefing, building, sending and reporting on email campaigns
- Supporting the development of the email plan using campaign and channel insight
- Working with key stakeholders to keep email messaging in line with the trading and marketing calendar
- Planning and running tests to improve engagement and revenue
- Identifying segmentation opportunities and building targeted audiences to increase retention and customer value
- Making sure email best practice is followed across all devices and templates
- Evaluating campaign performance and recommending improvements to newsletters and the wider email strategy
- Supporting weekly and monthly reporting, including weekly competitor analysis
We’re particularly interested in candidates with experience from retail, ideally fashion or beauty, though wider retail backgrounds will be considered.
You’ll need hands-on experience building emails and automations in an email platform (Ometria would be a bonus), as well as strong communication skills, commercial awareness and a problem-solving mindset.
We’re looking for someone who is passionate about CRM and keen to bring new ideas to the team. This role is moving quickly, so candidates on one month’s notice or less are preferred.
Salary: Up to £35k
Location: London (hybrid, 3 days a week in the office)
Find out more and apply via the link below. 
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Digital Analytics Lead
London
£50000 - £52000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Digital Analytics Lead | Travel & Tourism | Remote | Up to £52k
We’re working with a well-known travel business. They’re looking to hire a Digital Analytics Lead on a fully remote basis.
This is a great opportunity for someone with 3+ years’ hands-on digital analytics experience, though strong candidates with 2 years will be considered. It’s a highly visible role, working across digital product, marketing, content, data science, BI and SEO teams.
The role will involve:
- Designing measurement frameworks so the organisation measures what really matters
- Turning broad business goals into clear, measurable targets
- Auditing existing data layers and identifying tracking gaps
- Writing clear technical specifications for external web agencies to implement
- Hands-on implementation, QA and governance in GA4 and Google Tag Manager
- Analysing onsite customer journeys and turning data into insight that shapes priorities
- Managing analytics agency relationships and supporting procurement
- Line managing and developing a Digital Analytics Implementation Specialist
- Contributing to emerging areas such as Generative Engine Optimisation (GEO)
We’re open on background, whether you come from agency or in-house, public or private sector.
You’ll need strong hands-on experience with Google Tag Manager and data layers, as this is essential. GA4 and BigQuery experience is also important. Custom JavaScript or HTML skills would be a big bonus.
You’ll also need strong stakeholder management and the confidence to work independently, as this person will be the go-to lead for digital measurement across the organisation.
Salary: Up to £52k + up to 11% pension
Location: Fully remote (office visits roughly once a quarter in London or Birmingham, with travel expensed)
The interview process is short, with just two stages, and they’re looking to interview as soon as possible.
If you have hands-on GTM and data layer experience and are open to a new opportunity, please apply below.

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CRM Analyst
Watford
£30000 - £35000
+ Advanced Analytics & Marketing Insights
PermanentWatford, Hertfordshire
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CRM Analyst | Consumer Brand | Hertfordshire | £35k + Bonus
We’re working with a household-name UK consumer brand that is investing heavily in CRM and digital. They’re looking to hire a CRM Analyst to join their growing CRM team in Hertfordshire.
This is a great opportunity for someone early in their career with solid SQL foundations and strong communication skills, who wants clear progression into Senior Analyst, CRM Management or BI roles.
The role will involve:
- Building campaign audiences and customer segments using SQL
- Monitoring and managing the CRM campaign schedule
- Working within Salesforce Marketing Cloud and Automation Studio
- Updating and amending audience selection queries
- Validating and cross-checking audiences before campaigns go live
- Supporting recurring and promotional campaigns, including campaigns with multiple versions and customer segments
- Managing requests for new audience segments from stakeholders
- Delivering basic campaign analysis and reporting
The CRM function is around 35 people and has grown significantly in recent years, with further hiring planned. Longer term, this person will become the go-to owner of CRM scheduling, coordinating campaign activity across the Strategy, Operations and Data teams.
We’re particularly interested in candidates with a STEM or data-focused degree and some exposure to SQL, whether through university, a placement, an internship or an early-career role.
You’ll need basic to intermediate SQL skills (joins, aggregations and GROUP BY), strong attention to detail and the ability to manage multiple priorities. CRM, marketing or Salesforce Marketing Cloud experience would be a bonus.
Strong communication and stakeholder management are essential, as this role involves working closely with teams across the business. The team is looking for someone who combines technical ability with real confidence in dealing with people.
Salary: £35k + Bonus
Location: Hertfordshire (hybrid, 3 days a week in the office)
Unfortunately, visa sponsorship is not available for this role.
If you have SQL skills from a data-focused background and are open to a new opportunity, please feel free to apply below for more information.

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Director of Data
London
£140000 - £180000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Director of Data
London | Hybrid – Up to £180,000 + Bonus + Benefits
An exciting opportunity has arisen for an experienced technology and data leader to join a fast-growing, data-driven business undergoing significant transformation.
This role will take ownership of multiple functions across Data, Analytics, Engineering, IT and Business Systems, bringing together established teams under a single vision while accelerating the use of data and AI across the organisation.
The Role
You will be responsible for:
- Leading and developing multidisciplinary technology and data teams
- Driving a unified data and technology strategy across the business
- Creating a 360-degree view of customers through improved data utilisation
- Identifying opportunities to leverage AI for business value and operational efficiency
- Aligning technical and commercial stakeholders around key priorities
- Enhancing customer insight, decision-making and revenue growth
- Delivering quick wins while shaping long-term capability
About You
We’re looking for a hands-on leader who can balance strategy with execution.
You’ll likely bring:
- Experience leading multiple technology, data or analytics functions
- A strong understanding of data platforms, architecture and business systems
- Proven success driving change in fast-paced, evolving environments
- Exceptional stakeholder management and influencing skills
- Confidence making decisions and creating organisational alignment
- A collaborative leadership style with the ability to build high-performing teams
Exposure to AI initiatives, customer analytics, product-led organisations or high-growth businesses would be advantageous.
Why Join?
- Significant scope to shape the future direction of the business
- Ownership of multiple strategic functions
- High levels of autonomy and decision-making authority
- Executive-level visibility and influence
- Opportunity to drive AI, data and technology transformation at scale
- A business with strong foundations and ambitious growth plans
This is an excellent opportunity for a senior technology and data leader looking to make a visible impact within a growing organisation where innovation, pace and collaboration are highly valued.
Find out more and apply via the link below!

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Senior Data Scientist
City of London
£70000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
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Senior Data Scientist, Marketing Measurement
Remote (UK) | £70,000 – £90,000 + Bonus + Benefits
This is an exciting opportunity for a Senior Data Scientist to shape how marketing investment decisions are made within a growing digital business. You’ll own the marketing measurement strategy, combining experimentation, incrementality testing, marketing mix modelling, and predictive analytics to influence multi-million-pound budget decisions. The role offers significant visibility, autonomy, and the chance to work at the intersection of Data Science, Marketing, and AI.
The Company
They are a fast-growing consumer-focused business operating in a highly data-driven environment. With a strong digital presence and a commitment to evidence-based decision making, they use advanced analytics to drive sustainable growth and optimise customer acquisition. Their collaborative culture encourages innovation, experimentation, and continuous learning. Operating remotely across the UK, they offer flexibility alongside meaningful career development opportunities.
The Role
You will:
- Own and enhance the organisation’s Marketing Mix Modelling framework using modern methodologies and tools.
- Design, analyse, and validate incrementality and experimentation programmes across marketing channels.
- Translate complex modelling outputs into clear budget recommendations and commercial actions.
- Partner closely with marketing stakeholders to improve channel performance and investment decisions.
- Develop and maintain customer lifetime value (LTV) models to support acquisition and retention strategies.
- Apply causal inference techniques to improve attribution and marketing measurement.
- Leverage AI tools to accelerate analysis, experimentation design, and insight generation while maintaining analytical rigour.
- Communicate findings and recommendations to both technical and non-technical audiences.
Your Skills & Experience
- Strong commercial experience in Marketing Measurement, Marketing Mix Modelling, incrementality testing, or causal inference.
- Deep understanding of experimentation methodologies, statistical analysis, and hypothesis testing.
- Experience working with paid media performance data and digital marketing platforms.
- Strong SQL skills and experience working with modern cloud data environments.
- Strong Python expertise for analysis, modelling, and data science workflows.
- Experience building predictive models, including customer lifetime value modelling.
- Ability to influence business decisions through clear communication and data-driven recommendations.
- Comfortable operating in a fast-paced environment with a high degree of ownership.
Nice to have:
- Experience with Bayesian modelling frameworks such as PyMC.
- Exposure to value-based bidding and marketing attribution challenges.
- Experience within consumer, marketplace, travel, ecommerce, or subscription-based businesses.
- Knowledge of uplift modelling and advanced customer targeting approaches.
What They Offer
- Clear opportunities to take ownership of high-impact data science initiatives and develop your career within a growing analytics function.
How to Apply
If you’re an experienced Senior Data Scientist with expertise in marketing measurement, experimentation, and advanced analytics, apply today to learn more about this opportunity.

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Head of AI
London
£800 - £1000
+ Data Science & AI
ContractLondon
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Head of AI
Location: London (Hybrid)
Day Rate: £800-£1,000 per day (Outside IR35)
Contract Length: Initial 6 months with extension potential
About the Opportunity
We are partnering with a leading UK investment firm focused on scaling technology-enabled businesses across a diverse portfolio. As AI continues to become a key driver of value creation, they are looking for a senior AI leader to define and deliver an AI strategy across both the investment platform and portfolio companies.
This is a highly commercial role sitting at the intersection of data, technology, operations, and strategy. The successful candidate will help identify where AI can create measurable business value, drive adoption, and establish best practices across multiple businesses.
Responsibilities
- Define and execute the firm’s AI strategy across portfolio companies.
- Identify high-impact AI and machine learning opportunities that drive revenue growth, operational efficiency, and customer value.
- Partner with executive stakeholders, investment teams, and portfolio leadership to assess AI maturity and prioritise initiatives.
- Build AI roadmaps covering GenAI, predictive analytics, automation, decision intelligence, and emerging AI technologies.
- Lead AI governance, risk management, and responsible AI frameworks.
- Evaluate AI opportunities as part of investment due diligence processes.
- Establish best practices for MLOps, AI architecture, model deployment, and AI product development.
- Manage external vendors, consultancies, and specialist AI partners where required.
- Develop AI capability within portfolio businesses through coaching, training, and hiring support.
Required Experience
- Proven experience leading enterprise AI or data science functions.
- Strong track record delivering commercial AI solutions at scale.
- Experience working with senior executives and influencing business strategy.
- Deep understanding of Generative AI, LLMs, machine learning, and modern data platforms.
- Experience building AI operating models, governance frameworks, and adoption strategies.
- Background within private equity, consulting, technology, digital businesses, or fast-growth environments would be highly advantageous.
- Strong stakeholder management and communication skills.
Desired Technical Expertise
- Generative AI & LLMs (OpenAI, Anthropic, Gemini, open-source models)
- Machine Learning & Data Science
- MLOps & Model Governance
- Cloud Platforms (AWS, Azure, GCP)
- Vector Databases & RAG Architectures
- Data Engineering & Analytics Platforms
- AI Product Development
- Agentic AI & Workflow Automation
Success Metrics (First 6 Months)
- Complete an AI maturity assessment across the organisation and key portfolio businesses.
- Define and secure buy-in for a portfolio-wide AI strategy and operating model.
- Prioritise and launch 3-5 high-value AI use cases with clear commercial outcomes.
- Establish AI governance, risk, and compliance frameworks.
- Develop a repeatable framework for assessing AI opportunities during investment due diligence.
- Build relationships with portfolio leadership teams and create AI adoption roadmaps.
- Deliver demonstrable efficiency gains, cost savings, or revenue opportunities through initial AI deployments.
Why Consider This Opportunity?
- Opportunity to shape AI strategy across multiple high-growth businesses.
- Significant exposure to senior leadership and investment teams.
- Autonomy to build and execute an AI vision from the ground up.
- High-impact position focused on driving tangible business value from emerging AI technologies.
Rate: £800-£1,000 per day (Outside IR35)
Location: London (Hybrid)
Contract: Initial 6-month engagement with strong extension potential.

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Senior Consultant
London
£70000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Senior Consultant
London (Hybrid) | Salary up to £100,000 + Bonus + Equity
This is an excellent opportunity to join a growing strategy consultancy at an exciting stage of its journey. You’ll work with leading technology organisations, solve complex commercial challenges, and have a genuine impact on strategic decision-making while benefiting from clear progression opportunities and direct exposure to senior leadership.
The Company
They are a specialist strategy consultancy partnering with innovative technology businesses to help them make better commercial and strategic decisions. Their work spans product strategy, customer insight, customer experience, go-to-market strategy, and business growth. With a collaborative and intellectually curious culture, they combine research, analytics, and strategic thinking to deliver meaningful outcomes for clients. As they continue to expand, they are looking for a Senior Consultant to play a key role in project delivery and business growth.
The Role
You will lead project workstreams across multiple client engagements, translating research and insight into commercially focused recommendations.
Responsibilities include:
- Leading workstreams across complex strategy consulting projects.
- Designing and delivering qualitative and quantitative research programmes.
- Conducting stakeholder and customer interviews.
- Analysing research findings and market evidence to develop strategic recommendations.
- Creating high-quality presentations and client deliverables.
- Presenting insights and recommendations to senior stakeholders.
- Supporting and coaching junior consultants.
- Contributing to proposals, business development activities, and thought leadership initiatives.
Your Skills & Experience
- Strong commercial experience within strategy consulting, research consulting, insights, or a related field.
- Excellent qualitative research and interviewing capabilities.
- Experience managing projects, timelines, and stakeholder relationships.
- Strong analytical, problem-solving, and strategic thinking skills.
- Excellent communication, presentation, and storytelling abilities.
- Interest in technology, innovation, and emerging market trends.
- Ability to translate complex information into clear and actionable business recommendations.
- Experience within technology, B2B technology, research consultancy, or strategic insights environments would be advantageous.
How to Apply
If you’re looking for an opportunity to influence high-profile strategic projects, work closely with senior stakeholders, and accelerate your consulting career, we’d love to hear from you.

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Senior Data Scientist – MMM
London
£70000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Senior Data Scientist – Marketing Mix Modelling (MMM) | £70,000-£90,000 | Fully Remote UK
We’re looking for a commercially minded Senior Data Scientist to join a fast-growing, purpose-led travel marketplace.
This is a high-impact role focused on Marketing Mix Modelling (MMM), incrementality and marketing effectiveness, helping the business optimise investment as it plans to significantly increase marketing spend next year.
Key responsibilities:
-
Own and develop MMM to measure channel effectiveness, diminishing returns and marginal acquisition costs.
-
Design incrementality experiments, including geo tests and conversion-lift studies.
-
Build and enhance Customer Lifetime Value (LTV) models.
-
Improve marketing attribution and measurement in a privacy-first landscape.
-
Translate analytical insights into actionable marketing budget recommendations.
-
Use AI to accelerate analysis, experimentation and reporting.
What we’re looking for:
-
Strong hands-on experience in MMM and marketing measurement.
-
Excellent statistical, causal inference and experimental design skills.
-
Strong SQL and Python capabilities.
-
Understanding of paid media, attribution and customer acquisition economics.
-
Commercially minded, with the ability to influence marketing strategy.
-
An AI-first approach to data science.
Experience with Bayesian modelling, value-based bidding or LTV modelling would be advantageous.
Package: £70,000-£90,000 + bonus and benefits
Location: Fully remote within the UK.
An excellent opportunity to shape marketing investment strategy and drive profitable, sustainable growth.
Interested? Get in touch for a confidential conversation.

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Associate Director
London
£100000 - £130000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Associate Director
London (Hybrid) | Salary up to £130,000 + Bonus + Equity
This is an opportunity to join a high-growth strategy consultancy at a pivotal stage of its journey. You’ll lead high-impact projects for global technology businesses, influence senior decision-makers, and play a key role in shaping both client outcomes and the future direction of the consultancy.
The Company
They are a specialist strategy consultancy partnering with leading technology businesses to solve complex commercial and growth challenges. Combining strategic thinking, market insight, and commercial expertise, they help clients make critical decisions across innovation, product strategy, market expansion, and business growth.
With a collaborative and entrepreneurial culture, they empower their teams to take ownership, drive impact, and contribute to the ongoing development of the business. This role offers significant visibility, autonomy, and long-term career progression.
The Role
- Lead strategic consulting engagements from scoping through to delivery.
- Manage project commercials, timelines, resources, and stakeholder relationships.
- Design and oversee qualitative and quantitative research programmes.
- Lead executive interviews and facilitate senior-level workshops and discussions.
- Translate complex business challenges into clear, actionable strategic recommendations.
- Present findings and strategic narratives to senior client audiences.
- Coach and develop consultants and senior consultants.
- Support business development activities, including proposals and client growth initiatives.
- Identify opportunities to expand existing client relationships.
- Contribute to the development of innovative consulting methodologies and AI-enabled solutions.
Your Skills & Experience
- Strong experience within strategy consulting, research consulting, strategic insights, or a related advisory environment.
- Proven ability to lead complex client engagements and deliver high-quality strategic outcomes.
- Excellent commercial acumen and structured problem-solving skills.
- Strong qualitative research and stakeholder management capabilities.
- Experience managing project teams, budgets, and client relationships.
- Outstanding communication, presentation, and storytelling skills.
- Interest in technology, innovation, and emerging market trends.
- Ability to synthesise complex information into practical, commercially focused recommendations.
- Experience within technology, B2B technology, innovation consulting, or strategic insights environments is highly desirable.

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Lead Credit Risk Analyst
Cardiff
£65000 - £70000
+ Risk Analytics
PermanentCardiff
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LEAD CREDIT RISK ANALYST
SALARY BETWEEN £65,000-£70,000 + ANNUAL BONUS
HYBRID (1 DAYS PER WEEK IN-OFFICE)
CARDIFF
Harnham are working with a growing UK financial services business to recruit a Lead Credit Risk Analyst into their expanding credit strategy team. This is an excellent opportunity to play a key role in shaping the future of a developing lending product, with significant exposure to strategic decision-making and senior stakeholders.
THE COMPANY
Harnham are working with a well-established UK lender that combines data, analytics, and technology to deliver consumer finance products. As part of a wider financial services group, the business offers the stability of an established brand alongside the opportunity to influence a growing lending portfolio. With continued investment in its credit capabilities, the company is focused on improving customer outcomes, operational efficiency, and risk management through data-driven decision making.
THE ROLE
This role sits within the Credit Strategy function and offers the chance to influence lending decisions, optimise credit performance, and support the ongoing development of a growing loan portfolio. You’ll work closely with a range of stakeholders to develop strategies that balance growth, customer outcomes, and risk.
Specifically, you can expect to be involved in:
- Analysing portfolio performance, including approvals, referrals, arrears, and defaults.
- Identifying opportunities to improve automation across the credit decisioning process.
- Producing insight-led recommendations to enhance credit strategy and policy.
- Collaborating with Product, Underwriting, and Commercial teams on strategic initiatives.
- Monitoring and evaluating the impact of credit strategy changes.
SKILLS AND EXPERIENCE
The successful Lead Credit Risk Analyst must have the following skills and experience:
- Experience within Credit Risk Strategy in a consumer lending environment.
- Strong analytical skills with the ability to translate data into actionable recommendations.
- Experience working with lending policies, scorecards, decisioning rules, and underwriting strategies.
- Advanced SQL skills, with Python considered advantageous.
- Ability to communicate complex analytical findings to both technical and non-technical stakeholders.
BENEFITS
The successful Lead Credit Risk Analyst will receive a salary up to £70,000 and an annual bonus.

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Senior Data Scientist (MMM)
Manchester
£70000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentManchester, Greater Manchester
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Senior Data Scientist – MMM
£70,000-£90,000 + Bonus
Fully Remote (UK)
I’m hiring a Senior Data Scientist – Marketing for a fast-growing B-Corp marketplace operating across 60+ countries, helping thousands of people discover and book unique travel experiences while supporting local businesses.
This isn’t a generic marketing analytics role.
They’re looking for someone who is genuinely AI-native, highly commercial, and deeply experienced in marketing measurement, experimentation, incrementality, and modelling. You’ll be responsible for helping answer one of the most important questions in any digital business:
What marketing activity is actually driving growth, and where should the next pound be invested?
The role
You’ll report into the Head of Data and work closely with the Performance Marketing team, owning the business’s marketing measurement and modelling capability.
This role sits at the intersection of:
- Marketing Science
- Data Science
- Experimentation
- Causal Inference
- Budget Optimisation
- AI-enabled analytics
You’ll be trusted to challenge conventional thinking, validate what’s truly driving growth, and influence where significant marketing budgets are invested.
What you’ll be doing
Marketing Mix Modelling
- Own and evolve the company’s Marketing Mix Model (MMM).
- Work with frameworks such as:
- Meridian
- Robyn
- PyMC-Marketing
- Translate model outputs into real budget allocation decisions.
- Build response curves, saturation models, marginal CAC analysis and investment recommendations.
Experimentation & Incrementality
- Design and validate robust marketing experiments.
- Support lift testing, holdouts, geo-experiments and incrementality studies.
- Evaluate results using rigorous statistical methods.
- Separate genuine signal from marketing noise.
Attribution & Signal Quality
- Improve understanding of conversion attribution and marketing effectiveness.
- Understand how privacy changes affect data quality and marketing measurement.
- Support value-based bidding and predicted value feedback loops into major advertising platforms.
Advanced Modelling
- Own and develop customer lifetime value (LTV) models.
- Build predictive cohort models and uplift models.
- Improve targeting, retention, and commercial performance through modelling and experimentation.
What they’re looking for
Essential
- Strong hands-on experience with:
- Marketing Mix Modelling (MMM)
- Incrementality testing
- Lift studies
- Geo-testing
- Marketing experimentation
- Strong statistical background covering:
- Hypothesis testing
- Causal inference
- Power analysis
- Sample size calculation
- Regression modelling
- Strong SQL skills.
- Python experience (pandas, scikit-learn, scipy, statsmodels).
- Experience working with modern analytics stacks.
- Ability to communicate technical concepts to marketing and commercial stakeholders.
- Comfortable using AI to improve experiment design, workflow efficiency and analytical processes.
Nice to have
- Bayesian modelling (PyMC, Stan).
- Value-based bidding.
- Offline conversion uploads.
- Marketplace, travel, subscription or considered-purchase environments.
- LTV and payback modelling experience.
Why this role?
- Fully remote UK role.
- Own one of the most commercially important areas of the business.
- Significant influence over marketing investment decisions.
- Work in a genuinely data-driven environment.
- Partner directly with performance marketing and business leadership.
- Join a company with strong values, international growth and an excellent customer reputation.
Package
- £70,000-£90,000 salary.
- Annual performance-based bonus.
- 38 days annual leave (including public holidays).
- Private healthcare.
- Generous pension scheme.
- Fully remote setup with home office budget.
- Access to co-working spaces.
- Company-wide meetups and travel benefits.
Interview process
- Introductory interview (30-45 minutes).
- Take-home marketing measurement case study.
- Technical and presentation interview.
- Informal Q&A with the wider team.
This role would suit someone currently working as a Marketing Data Scientist, Marketing Science Manager, Measurement Scientist, MMM Specialist, Incrementality Lead, Growth Data Scientist, or Commercial Data Scientist who wants end-to-end ownership of marketing measurement in a high-growth, data-led business.

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Director of Data & AI
$175000 - $200000
+ Data Science & AI
PermanentNew Jersey
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Director of Data & AI
New Jersey / Hybrid | Up to $200k + Bonus
A global specialty insurer is looking for a hands-on leader to sit at the heart of its North America underwriting business and help drive its AI and analytics strategy.
This is a business-facing role, focused on improving underwriting performance, portfolio management and decision-making through data, analytics and AI.
What you’ll be doing:
- Partnering directly with underwriting leaders across North America
- Turning business challenges into analytics and AI solutions
- Leading AI-enabled underwriting transformation initiatives
- Working closely with Data Science, Engineering and Product teams
- Driving adoption of data-led decision making across the business
- Leading and developing a small, high-performing analytics team
What we’re looking for:
- Strong commercial or specialty insurance experience
- Deep understanding of underwriting processes and decision-making
- Experience delivering value through analytics, data science or AI
- Ability to influence senior stakeholders and operate at executive level
- Experience leading teams and driving change across complex organisations
Why consider it?
- Newly created role with significant visibility
- Data & AI are a board-level priority
- Opportunity to shape the future of AI in underwriting
- Blend of strategy, delivery and stakeholder leadership
- Direct impact on underwriting outcomes and business performance
This is an excellent opportunity for someone who understands insurance first and technology second, and wants to play a key role in modernising how underwriting decisions are made.

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