ML/AI Engineer – Databricks Agentic AI
Dallas / $65 - $75 hour
INFO
RATE:
$65 - $75
LOCATION
Dallas
Contract
ML/AI Engineer - Databricks Agentic AI
Remote, US
This is an opportunity to join a large enterprise organization building a multi-agent analytics platform that enables users to query data through natural language and receive trustworthy, explainable answers. You will help design and operate a system of cooperating LLM-powered agents that query data sources, run analysis, generate visualizations, and deliver production-grade insights at scale.
The Company
They are a large media and entertainment organization investing heavily in AI and analytics capabilities. As part of a broader transformation initiative, they are building intelligent systems that enable users to interact with complex data through natural language while maintaining enterprise-grade reliability, governance, and performance. This role sits within a highly technical team focused on delivering scalable, production-ready AI applications.
The Role and Deliverables
- Design and implement multi-agent workflows within a Databricks-based analytics platform, including planning, routing, tool calling, memory, and handoff between specialized agents.
- Build and maintain agent tools including data source connectors, retrieval pipelines, SQL generation and validation, visualizations, and result verification.
- Develop evaluation frameworks, testing suites, and regression tracking to improve quality and reliability.
- Improve answer accuracy and groundedness through guardrails, validation mechanisms, and explainability.
- Optimize for latency, cost, throughput, and production resilience.
- Partner with engineering, analytics, and product teams to deliver trusted AI-powered analytics experiences.
Your Skills & Experience
- Deep understanding of the Databricks platform, including hands-on experience with Databricks Apps, Databricks SDK, Databricks Asset Bundles, and Databricks APIs.
- Experience with Mosaic AI, Model Serving, Vector Search, MLflow, Unity Catalog, or similar Databricks-native capabilities.
- Strong experience building production AI, LLM, or agentic applications.
- Strong Python engineering skills and experience with frameworks such as LangGraph, OpenAI Agents SDK, or similar.
- Hands-on experience with tool calling, RAG, prompt engineering, and multi-agent architectures.
- Experience with agent evaluation frameworks, observability tooling, and production AI operations.
- Experience building and operating production services, APIs, CI/CD pipelines, and cloud-native applications.
If you have experience building production-grade agentic AI systems and deep expertise across the Databricks ecosystem, apply to learn more about the opportunity.
CONTACT
Emily Pommier
Recruitment Consultant
SIMILAR
JOB RESULTS
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.
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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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Senior Marketing Analyst
£70000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentEngland
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Senior Marketing Analyst
£70,000-£90,000
Fully Remote in The UK
The Company
A fast-growing, B Corp-certified global adventure travel marketplace, helping customers discover and book unique outdoor experiences around the world, is seeking a Senior Marketing Analyst to join the team! Working with independent local operators across more than 60 countries, the business offers a different approach to travel, supporting local economies and conservation while creating unforgettable experiences. With a strong brand and an expanding customer base, the business is preparing for its next stage of growth, with plans to double its marketing spend next year. The focus is on scaling sustainably and ensuring every investment drives meaningful, profitable growth.
The Role
As the Senior Marketing Analyst, you will play a pivotal role in understanding the true effectiveness of marketing investment and identifying where budget can be allocated to maximise profitable customer acquisition. Reporting to the Head of Data, you will work closely with the performance marketing team, taking ownership of Marketing Mix Modelling (MMM), incrementality measurement and Customer Lifetime Value (LTV) modelling. This is a highly hands-on, commercially focused position where your analysis will directly influence marketing strategy and budget allocation. You’ll develop and refine models to understand channel effectiveness, measure incremental returns and identify opportunities to scale acquisition profitably. You’ll also collaborate with the wider data team, helping establish experimentation standards and ensuring your LTV models support both marketing investment decisions and longer-term customer retention strategies.
Key responsibilities include:
- Own and develop the Marketing Mix Model (MMM), measuring channel effectiveness, saturation, marginal returns and customer acquisition costs.
- Design and evaluate incrementality experiments, including conversion-lift tests, geographic experiments and holdout testing.
- Build and maintain Customer Lifetime Value (LTV) models to inform bidding strategies, budget allocation and long-term profitability.
- Improve marketing attribution and conversion measurement, accounting for privacy changes and incomplete customer journeys.
- Translate complex modelling outputs into clear, actionable recommendations for the performance marketing team.
- Use AI as a core part of your day-to-day workflow to accelerate analysis, improve experimentation and automate recurring insights, while maintaining analytical rigour.
- Collaborate with the wider data team to strengthen experimentation methodologies and support data-driven decision-making across the business.
Your Skills & Experience
- Strong hands-on experience in marketing measurement, particularly Marketing Mix Modelling (MMM), incrementality testing or geographic experiments.
- Strong statistical knowledge, including regression, hypothesis testing, sample sizing, statistical power and causal inference.
- Excellent SQL skills and experience using Python for analysis and modelling.
- An understanding of paid media platforms, marketing attribution and the impact of privacy changes on measurement.
- Experience building LTV models, with an understanding of customer acquisition costs, payback periods and marginal returns.
- The ability to turn complex analytical findings into clear commercial recommendations that influence marketing investment.
- A confident, AI-native approach, using AI to improve the speed and quality of analytical work while critically reviewing outputs and maintaining appropriate guardrails.
Experience with Snowflake, dbt and modern analytics tools would be beneficial, alongside exposure to Bayesian modelling, value-based bidding or offline conversion uploads. Experience in travel, marketplaces or other considered-purchase businesses would also be advantageous.
The Benefits
- £70,000-£90,000 salary, depending on experience.
- Fully remote working within the UK.
- 38 days of annual holiday, inclusive of public holidays.
- Annual company performance-based bonus.
- 30% employee discount on trips, plus 15% friends and family discounts.
- Company-wide adventure meet-ups
How to Apply
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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Senior Data Scientist – MMM & LTV
London
£90000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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This is an opportunity to take ownership of some of the most commercially important marketing measurement challenges in a growing, data-driven business. You will shape how marketing investment is allocated, influence acquisition strategy, and build the models that drive long-term growth.
The Company
They are a digital business investing heavily in customer acquisition and marketing analytics. With ambitious growth plans and a commitment to data-led decision making, they are looking to significantly increase marketing spend while ensuring every investment is measurable and effective.
Their analytics and data science function plays a role in strategic decision making, partnering closely with marketing leadership to optimise performance and identify scalable growth opportunities. The business embraces modern technologies and AI-enabled ways of working to maximise impact across the organisation.
The Role
As a Senior Data Scientist, you will work closely with the Head of Performance Marketing to evaluate marketing effectiveness, improve acquisition efficiency, and support significant budget growth.
Key responsibilities include:
- Own and develop the Marketing Mix Modelling (MMM) framework to guide marketing investment decisions
- Analyse channel effectiveness and identify diminishing returns across paid media channels
- Build and maintain Lifetime Value (LTV) models that support acquisition and budgeting decisions
- Measure marketing incrementality through experimentation, lift studies, geo-testing and causal inference techniques
- Translate modelling outputs into clear budget recommendations and commercial actions
- Partner with marketing stakeholders to optimise customer acquisition performance as marketing investment scales
- Develop predictive models and advanced analytics solutions using Python and SQL
- Leverage AI tools to accelerate coding, experimentation and analytical workflows
- Drive best practice across marketing measurement, attribution and performance analytics
Your Skills & Experience
- Strong commercial experience in Marketing Mix Modelling (MMM)
- Experience measuring incrementality and designing marketing experiments
- Expertise in customer lifetime value (LTV) modelling
- Strong understanding of marketing performance, attribution and channel effectiveness
- Advanced SQL and Python skills
- Experience working with Snowflake and dbt
- Strong statistical and causal inference knowledge
- Ability to communicate complex analytical findings to non-technical stakeholders
- Experience partnering closely with performance marketing teams
What They Offer
- Salary up to £90,000
- Fully remote working within the UK

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Senior Consultant
London
£100000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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This is an opportunity to join a growing boutique consultancy operating at the intersection of research, customer insight and commercial strategy within the technology sector. You’ll work on projects for leading global technology brands, taking ownership of both research and strategic recommendations while gaining direct exposure to senior leadership and clients.
The Company
They are a specialist strategy and insights consultancy focused on helping technology businesses make better commercial decisions. Combining primary research, market intelligence and strategic thinking, they support clients across areas including customer experience, go-to-market strategy, pricing, proposition development and competitive positioning.
The business has experienced significant growth, driven by strong client demand and continued investment in AI-enabled consulting solutions. With a collaborative, entrepreneurial culture and a flat structure, the team offers genuine influence and visibility from day one.
The Role
As a Senior Consultant, you will lead research and strategy workstreams across a range of B2B technology engagements.
Responsibilities include:
- Leading multiple client projects from scoping through to delivery
- Designing research methodologies, discussion guides and project frameworks
- Conducting senior stakeholder and customer interviews
- Analysing qualitative and quantitative insights to develop clear commercial recommendations
- Building compelling presentations, reports and client deliverables
- Shaping project narratives and strategic recommendations
- Managing day-to-day client relationships and presenting findings to senior stakeholders
- Overseeing project timelines, budgets and delivery milestones
- Supporting and mentoring junior consultants
- Contributing to new business activity, proposals and thought leadership
- Supporting the development of AI-enabled tools, products and consulting methodologies
Your Skills & Experience
- Experience within strategy consulting, market research, insights or brand strategy
- Proven background delivering B2B technology projects
- Experience leading research and strategy workstreams independently
- Qualitative research, synthesis and storytelling capabilities
- Strong client management and stakeholder engagement skills
- Ability to translate complex research findings into commercially actionable recommendations
- Interest in technology, AI and emerging market trends
- Comfortable working in a fast-paced, growing consultancy environment and strong presentation and communication skills

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Technology Consultant
London
£50000 - £70000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Technology Consultant
London (Hybrid) | Salary up to £70,000
This is an exciting opportunity to join a growing strategy consultancy that partners with leading technology organisations to solve complex commercial challenges. You’ll gain exposure to senior decision-makers, work on high-impact projects, and play a key role in helping clients turn insight into action.
The Company
They are a specialist strategy consultancy focused on helping organisations make better commercial decisions and accelerate growth. By combining customer insight, market research, and strategic thinking, they support clients across areas including product strategy, pricing, go-to-market planning, customer experience, and growth. With continued business growth, they are looking for a Consultant to help deliver high-quality strategic advice and contribute to ambitious expansion plans.
The Role
You will take ownership of key project workstreams and help deliver impactful strategic recommendations to clients.
Responsibilities include:
- Leading research and analysis across strategic consulting engagements
- Conducting qualitative interviews and analysing quantitative and qualitative data
- Designing research approaches, discussion guides, surveys, and insight frameworks
- Identifying commercial opportunities and translating complex findings into clear recommendations
- Producing high-quality presentations, reports, and client deliverables
- Presenting insights and recommendations to clients and internal stakeholders
- Supporting business development activities and proposal creation
- Collaborating across multiple projects in a fast-paced consulting environment
- Contributing to the development of AI-enabled consulting tools and methodologies
- Supporting and mentoring colleagues where appropriate
Your Skills & Experience
- Strong commercial experience within strategy consulting, research consulting, strategic insights, or a related advisory environment
- Experience managing project workstreams from planning through to delivery
- Excellent qualitative research and stakeholder engagement skills
- Strong analytical capability with experience interpreting quantitative data
- Advanced PowerPoint and Excel skills with the ability to communicate complex ideas clearly
- Excellent written and verbal communication skills
- A naturally curious and detail-oriented approach to problem-solving
- Ability to translate data and research into actionable business recommendations
- Interest in technology, innovation, and AI-driven solutions
Desirable experience:
- Exposure to B2B technology markets
- Additional language skills
- Experience with AI-enabled tools, workflows, or dashboards
- Technical or coding capability
How to Apply
If you’re looking to accelerate your consulting career while working on high-profile strategic challenges, apply today to learn more about this opportunity.

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Associate Director – Consultancy
London
£130000 - £130000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Associate Director
They are a specialist strategy and insights consultancy focused on helping organisations solve complex commercial challenges through research-led decision making. Combining customer insight, market intelligence, and strategic consulting, they deliver actionable recommendations that drive business growth. Their work spans areas including go-to-market strategy, customer experience, portfolio strategy, pricing, proposition development, and competitive positioning.
The Role
As an Associate Director, you will lead the delivery of strategic insight and consulting projects for leading technology clients while contributing to business development and team leadership.
Key responsibilities include:
- Leading end-to-end strategy, research, and insight engagements from project design through to delivery.
- Designing research methodologies to address complex business and commercial challenges.
- Managing qualitative research programmes, including stakeholder and customer interviews.
- Translating research findings into clear strategic recommendations and practical business actions.
- Building trusted relationships with senior client stakeholders and leading workshops and presentations.
- Managing project scope, budgets, profitability, and delivery timelines.
- Supporting and developing consultants through coaching, mentoring, and quality assurance.
- Contributing to proposal development, project scoping, and client growth initiatives.
- Working closely with senior leadership on strategic business priorities.
- Supporting the adoption and development of AI-enabled consulting tools and solutions.
Your Skills & Experience
- Strong experience within strategy consulting, market research, insights, brand strategy, or a related consulting environment.
- Proven expertise delivering end-to-end research and strategy projects.
- Deep understanding of B2B technology markets and commercial challenges.
- Strong qualitative research, analytical, and storytelling capabilities.
- Experience managing senior client relationships and presenting strategic recommendations.
- Demonstrated ability to oversee multiple projects, budgets, and delivery teams.
- Commercially minded approach with the ability to turn insight into business impact.
- Experience coaching and developing consultants or project teams.
- Interest in technology, AI, and emerging market trends.
- Comfortable operating within an entrepreneurial and fast-paced consultancy environment.

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Senior Data Scientist – (MMM)
London
£70000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Senior Data Scientist (Marketing Measurement & MMM)
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
Your Skills & Experience
- 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
How to Apply
To find out more about this Senior Data Scientist opportunity, please apply with your CV for a confidential discussion.

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