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Data Analyst
London, Hybrid (2 days per week)
Up to £60,000

This is a great opportunity to join an established organisation where data sits at the heart of marketing, insight and campaign performance. You will be the go‑to data specialist, shaping reporting, forecasting and planning to directly influence how audiences are engaged across fast‑paced, high‑impact programmes.

The Company
They are a long‑standing marketing and communications agency focused on helping brands build meaningful connections with younger audiences and the communities around them. Their work spans schools, families, teachers and wider community groups, delivering measurable social impact while driving brand advocacy. With a collaborative culture and a centralised data function, they are investing further in analytics to support better decision‑making and campaign effectiveness across the business.

The Role
As Data Analyst, you will act as the central point for data requests and analytical guidance, working closely with internal teams and external clients. You will:
* Support data planning, performance reporting and insight generation across campaigns.
* Build and refine forecasting and predictive models to guide planning and targeting.
* Manage CRM and customer data, ensuring accurate selection, segmentation and data quality.
* Respond to incoming data questions and provide clear, actionable guidance to non‑technical stakeholders.
* Deliver regular reporting and dashboards covering campaign performance, funnel metrics and KPI tracking.
* Translate complex data into concise stories that support decision‑making across the organisation.
* Partner with campaign and strategy teams to optimise targeting and improve audience engagement.

Your Skills and Experience
You will bring:
* Strong capability in Excel and SQL for data manipulation and analysis.
* Experience using Power BI or Looker to build dashboards and performance reporting.
* Background in marketing, digital or a similarly fast‑paced environment.
* Confidence working with CRM and customer data, including segmentation and campaign selections.
* Ability to translate insight for non‑technical teams and tell compelling data stories.
* Strong organisational skills and experience handling varied incoming data requests.
* Experience with predictive analytics or Python is beneficial but not required.
* Familiarity with UK education or youth‑focused environments is advantageous.

What They Offer
* Salary up to £60,000.
* Hybrid working with two days per week in their central London office.
* The chance to be the key data expert within a small, supportive analytics team.
* A varied role with exposure to planning, modelling, CRM, campaign insight and client interaction.
* The opportunity to shape data processes and contribute to the wider data maturity of the organisation.

How to Apply
If you are interested in this Data Analyst position, please apply with your CV to find out more.

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Lead Data Analyst
London, Hybrid (1-2x per week)
Up to £65,000

This is an exciting opportunity to join a high‑growth organisation where data science directly shapes performance marketing strategy. You will lead a growing data science function, drive long‑term analytical programmes, and play a key role in delivering meaningful commercial impact for well‑known consumer brands.

The Company
They are a specialist performance marketing and technology business known for combining deep analytical expertise with innovative data products. With a rapidly expanding team and a strong track record of industry recognition, they partner with major consumer brands to solve complex measurement, forecasting, and modelling challenges. Their culture is collaborative, modern, and driven by delivering high‑quality work that genuinely moves the needle for clients. As they scale, they are investing heavily in data science, experimentation, and advanced analytics.

The Role
As Lead Data Analyst, you will oversee a team of data scientists and work closely with senior stakeholders across analytics, data engineering, and technology. You will:
* Lead experimentation and measurement initiatives including incrementality testing, geo‑based studies, brand lift approaches, and causal inference.
* Own advanced modelling projects such as MMM, LTV modelling, propensity scoring, and predictive forecasting.
* Deploy models into cloud environments and integrate into advertising platforms including Google and Meta.
* Guide long‑term analytical roadmaps and ensure projects drive measurable commercial impact.
* Partner with high‑profile clients, often with direct access to raw data, applying rigorous analytical thinking to real‑world marketing challenges.
* Mentor and support a growing team of data scientists as they expand through the year.

Your Skills and Experience
You will bring:
* Strong commercial experience with SQL.
* Deep knowledge of experimentation methodologies such as incrementality, causal inference, geo testing, or brand lift studies.
* Hands‑on experience with MMM, LTV modelling, and propensity modelling.
* Ability to deploy and maintain models in cloud environments and integrate with marketing platforms.
* Experience delivering impactful, long‑term analytics or data science projects.
* Management or mentoring experience is desirable, but they are also open to strong individual contributors ready to step up.
* Exposure to attribution modelling is a bonus.

What They Offer
* Salary up to £65,000.
* Hybrid working with one day per week in their London office.
* The opportunity to lead a growing data science function with genuine ownership and influence.
* Work with large‑scale datasets from major consumer brands.
* A culture that invests in innovation, long‑term thinking, and high‑impact analytics.

How to Apply
If you are ready to take the next step in your data science career, apply today to find out more.

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Staff Machine Learning Engineer

Remote – UK or EU
Up to £100,000

Are you a senior ML engineer who loves solving complex problems, shaping technical strategy, and building production‑grade machine learning systems that actually get used? Do you thrive in an environment where you’re trusted to lead, innovate, and set the bar for engineering excellence?
If so, this role might be exactly what you’ve been looking for.

Why This Role?

This is a chance to own high‑impact ML initiatives end‑to‑end in a global AI and data‑driven organisation working at massive scale. You’ll architect sophisticated ML systems, guide technical direction, mentor engineers, and directly influence how advanced ML is leveraged across worldwide operations.

If you want autonomy, complex challenges, and the ability to make real technical decisions-not just write models someone else deploys-this is a place where you can do your best work.

What You’ll Be Doing

As a Staff Machine Learning Engineer, you will:

Lead major ML projects from concept to production
Define architecture, design scalable systems, and deliver end‑to‑end solutions that serve real users and real business needs.

Architect sophisticated ML systems
Design for performance, reliability, and scale across pipelines, models, and distributed data environments.

Mentor and elevate the engineering team
Support other ML engineers, offer guidance, review work, and drive best practices across the function.

Drive innovation
Explore emerging AI/ML techniques and recommend new technologies and approaches.

Shape responsible, ethical AI practices
Promote fairness, transparency, and best‑in‑class model governance.

Collaborate across a global organisation
Work with engineering, delivery, and business teams across multiple time zones, translating technical approaches into outcomes everyone understands.

What Success Looks Like

• You deliver ML systems that are scalable, maintainable, and impactful.
• You become a trusted technical leader and partner across teams.
• You elevate other engineers through coaching, reviews, and example.
• You influence architecture, standards, and the ML roadmap.
• You drive ethical, transparent, high‑quality AI development.

If you’re the kind of person who measures yourself by the quality and impact of what you build, you’ll feel at home here.

What You Bring

Technical Excellence

• Expert‑level Python (R or Java helpful but not essential).
• Deep understanding of classical ML, modern deep learning, and statistics.
• Experience building ML systems on large‑scale data (Hadoop, Spark, Kafka).
• Hands‑on experience with TensorFlow, PyTorch, or Keras.
• Strong system design instincts and a track record of delivering production ML.
• Experience with cloud platforms (AWS, Azure, or GCP) and MLOps practices.
• NLP experience is highly valued; Computer Vision is a plus.

Leadership & Influence

• Strong mentor and role model for other engineers.
• Excellent communicator with an ability to simplify complexity.
• Able to drive technical decisions and influence stakeholders.
• Passion for continuous learning and staying current with the field.
• Commitment to responsible and ethical AI design.

Experience

• 8+ years in Machine Learning Engineering or a closely related field.
• Proven track record delivering ML solutions end‑to‑end.

Working Environment

• Fully remote across the UK or EU.
• Work where and how you’re most productive.
• Highly collaborative, outcome‑driven culture.
• Global colleagues working across multiple time zones.

Additional Details

• No sponsorship available.
• Only open to residents of the UK or EU.

Apply below!

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Staff Machine Learning Engineer

Up to £100,000 + benefits
Fully Remote (UK-based)

You’ll be joining a well‑established tech business that’s doubling down on AI to take its products to the next level. This role is ideal if you’re a senior, hands‑on machine learning engineer who enjoys leading projects, mentoring others, and having a real say in how ML is used across a growing organisation.

THE COMPANY

This technology‑led organisation supports businesses by delivering scalable solutions that improve how complex information is processed and managed. The company combines advanced technical capability with operational expertise to help clients operate more efficiently as their needs evolve.

THE ROLE

As a Staff Machine Learning Engineer, you’ll sit at the senior end of the engineering function, combining hands‑on development with technical leadership. You’ll lead complex ML projects and influence delivery at a senior level.

Specifically, you can expect to be involved in the following:

• Leading end‑to‑end machine learning projects
• Building and improving ML models with a strong focus on NLP
• Working hands‑on with Python and modern ML frameworks
• Providing technical leadership and mentorship to junior engineers
• Influencing senior‑level technical decisions and delivery standards
• Designing and deploying solutions using cloud platforms (AWS, GCP, Azure, etc.)

SKILLS AND EXPERIENCE

The successful Staff Machine Learning Engineer will have the following skills and experience:

• Around 8+ years experience in machine learning or closely related roles
• Hands‑on experience building and deploying production ML systems
• Experience with NLP
• Exposure to broader AI techniques (LLMs are a plus, not a must)
• Experience leading projects and supporting more junior engineers
• Cloud experience across platforms such as AWS, GCP, or Azure

BENEFITS

• Up to £100,000 base salary, depending on experience
• Fully remote working across the UK (EU candidates also considered)
• Comprehensive benefits package
• A senior, influential role in a stable, well‑established business
• The chance to work on real‑world AI problems at scale

HOW TO APPLY

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

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Technical Programme Manager

£90,000 to £95,000
12 month contract
London, hybrid working 3 days per week in office

We’re supporting a large scale, consumer facing technology business on the hire of a Technical Programme Manager to join their Transformation and Delivery function on a 12 month contract. This role sits at the centre of business wide technical change, owning complex, cross functional programmes that cut across systems, data platforms, engineering and tooling.

The business operates at significant scale and complexity, with transformation initiatives becoming increasingly critical to how it delivers growth, governance and operational efficiency. This role works closely with senior leaders across the organisation, including C suite and VP level stakeholders, translating complex technical programmes into clear strategic narratives.

This is not a delivery only role. You’ll be expected to operate in ambiguous problem spaces, bring structure where there is uncertainty, and drive momentum across initiatives that don’t naturally sit within a single function.

The role

• Owning end to end delivery of complex, cross functional technical programmes

• Acting as a connector across data, engineering, finance, product, IT and security

• Structuring ambiguous problem areas into clear workstreams, priorities and outcomes

• Driving pace and progress while balancing risk and trade offs

• Translating technical detail into clear, senior level updates for exec stakeholders

• Managing dependencies, risks and competing priorities across fast moving initiatives

• Proactively identifying opportunities for transformation and improvement

Key initiatives include

• Systems portfolio management and governance across a complex technology estate

• AI tooling and enablement, including evaluation, procurement and rollout

• Time critical data platform ingestion migrations with significant dependencies

• Platform scaling and enablement to support high volume consumer transactions

What we’re looking for

• Proven experience as a Technical Programme or Project Manager in a tech led environment

• Strong background working with data platforms, software systems or technical infrastructure

• Comfortable operating at speed in complex organisations

• Able to absorb technical detail quickly without needing to be the subject matter expert

• Confident influencing senior stakeholders and driving alignment without authority

• Pragmatic mindset, prioritising outcomes over perfection

• Curious about AI and emerging technologies

Experience from large scale technology businesses is strongly preferred.

Additional details

• 12 month contract

• £90,000 to £95,000 depending on experience

• No notice period preferred, up to 1 month considered

• Hybrid working, 3 days per week in the London office

• Excellent benefits package included, bonus applicable only if role converts to permanent

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Lead Data Engineer

Salary: £80,000 + 10% Bonus

Location: 3 Days in Office (Basingstoke)

Lead the build of a next‑gen data platform powering advanced analytics and AI at a fast‑growing challenger institution shaping the future of modern finance.

The Opportunity
This opportunity offers the chance to lead the build‑out of a next‑generation data platform that underpins advanced analytics, machine learning, and AI capabilities for a growing financial services organisation. The business operates as a modern challenger in the market, delivering specialist lending and savings products while investing heavily in data‑driven transformation. In this role, you’ll take ownership of core architecture and engineering practices across a modern Azure‑Databricks ecosystem, shaping best practices and governance across the data landscape.

You’ll collaborate with senior stakeholders to translate strategic goals into scalable solutions and mentor engineers as you uplift capability across the organisation. Alongside a high‑impact remit, the company offers strong benefits, hybrid flexibility, and a culture that values wellbeing, professional development, and engineering excellence.

Role and Responsibilities
The role centres on leading the delivery of a next‑generation data platform, taking ownership of architecture, engineering standards, and best‑practice data governance across the organisation. You’ll design and develop scalable data pipelines within a modern Azure ecosystem, working with technologies such as Azure Synapse, Databricks, Delta Lake, Unity Catalog, and Databricks SQL. Responsibilities include overseeing pipeline orchestration, implementing data quality controls, monitoring and alerting, and managing data lineage, glossaries, and dictionaries to ensure accuracy and compliance.

You’ll collaborate with business and technology stakeholders to translate strategic goals into robust data solutions while driving Agile delivery and strong documentation practices. Additionally, you’ll mentor junior engineers, champion engineering excellence, and help uplift data capability across the business.

Interview Process

1. Introductory Conversation
2. Numerical and Verbal Reasoning Assessment
3. C-Suite Stakeholder Interview

Lead the delivery of a next‑generation Azure-Databricks data platform, owning architecture, engineering standards, and high‑quality pipeline development across the business, apply now.

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RISK STRATEGY ANALYST

£50,000

SOUTHAMPTON

THE COMPANY

This company is a growing FinTech that have been growing steadily over the past few years. They have multiple offerings and a close-knit team that really value progression and development.

THE ROLE

This role is very varied and will include work with a number of teams:

• Analysing customer and trend data, including work on root cause analysis and customer segmentation, to drive insight into lending performance and identify opportunities for improvement
• Work with the collections team to build forecasting models and conduct wider portfolio analysis
• Work closely with compliance and risk to ensure adherence to policies and note abnormalities
• Present and report to senior stakeholders, producing reports and dashboards to monitor business performance

YOUR SKILLS AND EXPERIENCE

• Essential to have knowledge of SQL and prior experience using this
• Essential to have worked with large data sets and driven insight into this, ideally within financial services
• Strong communication skills and prior experience in communicating complex data

SALARY AND BENEFITS

• Base salary of up to £50,000
• Company bonus scheme
• Pension contribution scheme
• Private Medical Cover

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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SENIOR MANAGER- CREDIT RISK ANALYTICS

UP TO £140,000

LONDON- 3 DAYS A WEEK

A leading fintech lender, looking for a Senior Credit Risk Strategy Manager to lead collections analytics and shape risk strategy across the business

THE ROLE

• Designing and optimising collections strategies across the lifecycle (early arrears through to recoveries)
• Using data properly, segmentation, treatments, contact strategy, affordability, forbearance, write-off logic
• Building the MI and insight that tells us what’s working, what isn’t, and why
• Working closely with operations to make sure strategy isn’t just clever on paper but works in the real world
• Making sure we treat customers in financial difficulty fairly, sensibly, and in line with regulation

REQUIREMENTS

• Arrears and collections strategy design
• Analytics experience (SQL / Python )

HOW TO APPLY

Please send CV below

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Senior Media Consultant
London hybrid. Up to £55,000 plus benefits.

A great opportunity to step into a consultative media role where you will blend hands‑on paid media expertise with analytics, measurement and client advisory. Ideal for someone ready to broaden beyond channel activation and work with major global brands.

The Company
They are a digital consultancy helping brands improve their marketing performance through data, insight and media expertise. With a collaborative London team and strong analytical capability, they are now growing their media function to support increasing client demand.

The Role
* Advise clients on paid search strategy and performance
* Support forecasting and dashboarding projects for key accounts
* Build keyword strategies, activation plans and cross‑channel recommendations
* Translate platform insights into clear client guidance
* Contribute to measurement, attribution and testing frameworks

Your Skills And Experience
* Strong commercial experience in Paid Search, PPC or Programmatic
* Hands‑on knowledge of Google Ads, DV360 or related adtech
* Understanding of cross‑channel strategy and audience‑led activation
* Familiarity with Google Analytics and media measurement
* Working knowledge of dashboarding tools such as Looker, Power BI or Tableau

What They Offer
* Up to £55,000 depending on experience
* Hybrid working with 2 office days per week
* Exposure to global brands and multi‑market projects
* Opportunities to develop across analytics, measurement and consulting

How To Apply
If this sounds like your next step, apply now to find out more.

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Senior CRM Manager
Central London (Hybrid – 3 days in office)
Up to £65,000

A fast-growing digital growth agency is looking for a Senior CRM Manager to lead strategy-led CRM programmes for high-profile UK brands.

This is a client-facing role combining insight, planning, and hands-on delivery. You’ll own CRM projects end to end across multiple clients, act as a trusted advisor to senior stakeholders, and guide junior team members along the way.

What you’ll be doing:

• Developing multi-channel CRM strategies (email, push, SMS)

• Owning segmentation, journeys, and performance optimisation

• Turning data into clear, actionable insights

• Advising clients on CRM best practice and martech

• Presenting confidently to senior client stakeholders

What we’re looking for:

• ~5 years’ CRM experience (agency experience a bonus)

• Strong strategic mindset (not just execution)

• Confident, credible, client-facing communicator

• Comfortable working across multiple clients and industries

Immediate availability is a plus, but flexibility for the right person.

Find out more and apply via the link below.

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

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

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

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

The Role

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

Key Responsibilities:

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

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

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

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

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

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

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

The Candidate

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

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

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

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

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

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

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

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

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

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Analytics Manager

London (Hybrid – 2 days in office, Tuesdays required)
Up to £90,000 base salary

An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence strategic decision-making across some of the UK’s most prominent banks and mortgage lenders.

You’ll manage a small team of analysts while staying close to delivery – combining technical expertise with business insight to shape how financial institutions use housing market data to drive smarter lending decisions.

Key Responsibilities

• Team Leadership: Mentor and support 2-3 analysts; oversee workload and ensure high-quality output

• Client-Facing Analytics: Present insights directly to clients, translating complex data into strategic value

• Cross-Functional Collaboration: Work with product, commercial, and presales teams to develop tailored solutions

• Strategic Thinking: Stay ahead of market trends and customer challenges to guide analytics direction

• Project Delivery: Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines

• Innovation Support: Help evolve the product set through insight-led thinking across financial services use cases

What We’re Looking For

• 5-7 years’ experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors

• Proven experience mentoring or managing analysts (or strong readiness to step into a team lead role)

• Strong technical toolkit: SQL, Python, and Excel proficiency

• Skilled communicator – confident presenting to both technical and non-technical audiences

• Experience working with or alongside banks, lenders, or credit decisioning teams

• Highly numerate, creative problem solver with strong business acumen

Nice to Have

• Exposure to property, housing, or mortgage markets

• Experience in a fast-paced, collaborative environment

• Interest in combining product thinking with data analytics

• Ability to manage multiple projects and stakeholders

• Strong presentation skills and a curious, solutions-driven mindset

Why Apply?

• Strategic, visible role with direct impact on how financial clients use data

• Competitive salary up to £90,000

• Hybrid working – 2 days/week in the London office (Tuesdays required)

• Work within a high-calibre analytics team under supportive leadership

• Be part of a mission to simplify and modernise property data in financial decisioning

Interview Process

1. Initial interview (30-45 mins) – with Analytics Leadership

2. Task stage – demonstrate analytical thinking and communication

3. Final round – culture fit and stakeholder interaction
   One stage may take place in person at the London office (London Bridge), where possible

Ready to shape the future of data in property and financial services? Apply now to join a high-performing team that blends deep analytics with real-world impact.

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