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Senior Data Modeller

Location: London (3 Days a week in office)

Salary: £70,000 – £88,000

Transforming complex financial data into strategic insight, driving innovation, efficiency, and value across large-scale data ecosystems

The Opportunity

This opportunity offers the chance to work on transformative data initiatives within the financial services industry, helping major institutions harness the power of their data to drive innovation and efficiency. The role combines strategic thinking with hands-on technical expertise, developing and implementing robust data models that enable smarter decision-making across complex systems.

You’ll collaborate with industry experts in a dynamic, agile environment that values creativity, inclusivity, and continuous learning. With exposure to large-scale projects and cutting-edge technologies, this position provides a platform to shape how global financial organisations manage and leverage their data.

The Role and Responsibility

In this role, you’ll leverage your consultancy experience to design and deliver robust conceptual, logical, and physical data models that drive transformation across complex financial data ecosystems. You’ll partner with business stakeholders, data architects, and domain experts to translate requirements into scalable data solutions, ensuring alignment with governance and best practices.

The position involves analysing data flows, embedding metadata management, and supporting both structured and semi-structured data, including JSON and XML. Proficiency with Sparx Enterprise Architect, Erwin, PowerDesigner, or Visual Paradigm is key, alongside familiarity with SQL, Python, and financial data standards such as FIBO, FIX, or FpML. Drawing on your consulting background, you’ll bring a strategic mindset, clear communication, and hands-on expertise to deliver value-driven outcomes for clients.

Interview Process

1. 60 Minute video in talking through skills and content
2. 60 Minute case study – how to operate in a client facing environment
3. 30 Minute interview with a Partner (comms/culture)

Bring your consulting expertise, technical precision, and passion for data-driven transformation to a team shaping the future of financial services, apply today!

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Customer Analytics Manager

£40,000 – £50,000 + Bonus

Hybrid – Blackpool (3x days in the office)

THE COMPANY

Our client, a luxury retail brand, is looking for a Customer Analytics Manager to join their growing team.

THE ROLE

This role sits at the centre of CRM and marketing, owning the customer data and insights that underpin decision-making across the business.

You’ll take responsibility for understanding, shaping, and improving the customer database, turning raw data into clear, actionable insight that enables smarter targeting, segmentation, and campaign performance.

Key responsibilities include:

• Evaluating the structure, quality, and completeness of the customer database
• Using SQL to extract, analyse, and interpret customer data
• Producing initial analysis and reporting to identify data gaps, issues, and opportunities
• Carrying out hands-on data cleansing and de-duplication activities
• Building and maintaining Power BI dashboards to support CRM and marketing teams
• Applying customer insights to inform segmentation and targeting strategies

YOUR SKILLS AND EXPERIENCE

• Hands-on SQL experience
• Experience working with customer databases
• Power BI for reporting and insight

THE BENEFITS

10% Bonus

HOW TO APPLY

Please register your interest by sending your CV or apply via the Apply link on this page. Please note we cannot offer sponsorship for this position

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Revenue Manager

£40,000-£50,000

Hybrid – Crewe (3x days per week in office)

THE COMPANY

Our client, a leading organisation in the railway and transportation sector, is seeking an experienced Revenue Manager to join their Revenue Management team.

THE ROLE

This role sits at the heart of the business, playing a critical role across inventory management, commercial timetabling, budgeting, forecasting, pricing, and yield management.

You’ll be responsible for driving revenue performance through a combination of strategic thinking and hands-on delivery, leading key revenue management initiatives while ensuring strong day-to-day execution.

Key responsibilities include:

• Driving revenue performance from both a strategic and operational perspective
• Leading and delivering internal revenue management initiatives
• Balancing longer-term strategic priorities with high-quality day-to-day delivery
• Managing workflows effectively to ensure priorities are met across the team
• Supporting and enabling the team to achieve revenue management targets
• Taking ownership of a core route (initially likely Anglo-Scottish, subject to internal movement)

YOUR SKILLS AND EXPERIENCE

• Strong background in revenue management and yield management
• Highly numerical and analytical mindset with strong Excel skills
• Proven track record of delivering commercial impact and results
• Experience in the transport sector strongly preferred

HOW TO APPLY

Please register your interest by sending your CV or via the Apply link on this page

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Data Analyst

London, hybrid 2 days in office, up to 50000

This is an excellent opportunity to join a growing data function where you will play a central role in shaping analysis, forecasting and insight for a fast paced, mission led organisation. If you enjoy variety, autonomy and real ownership, this position gives you the chance to influence campaigns, data quality and business decision making from day one.

The Company

They are an established agency working at the intersection of marketing, data and social impact. With a close knit data team and a highly collaborative culture, they deliver insight driven work that directly supports large scale programmes across the UK and Ireland. They operate in a fast moving environment where quality, accuracy and clarity of insight are essential. Their data team acts as a central hub for the business, supporting stakeholders with forecasting, CRM insight, reporting and ad hoc analysis.

The Role

* Act as a triage point for incoming data requests from across the business
* Analyse client provided data, often Excel based, to extract insight and support campaign planning
* Support forecasting projects including expected registrations, channel mix and campaign outcomes
* Work with relational databases and contribute to SQL driven analysis feeding into Power BI dashboards
* Ensure data accuracy, quality and consistency across all outputs
* Provide clear explanations of methodology and approach for high impact analyses
* Build confidence and credibility with internal teams and gradually increase client facing work
* Take ownership of workloads, deliver to deadlines and support key business decisions

Your Skills And Experience

* Strong commercial experience working with Excel including lookups, pivot tables and visualisation
* Confident SQL skills including joins, selection and manipulation of relational data
* Experience using Power BI to build dashboards and data visualisation
* Ability to work with CRM and customer datasets in a campaign or marketing context
* Strong analytical thinking with the ability to translate insight into clear narratives
* Comfortable working in fast paced, agency style environments
* Exposure to forecasting techniques or an interest in developing this capability
* Python or R experience is beneficial but not essential
* Familiarity with the UK education landscape or an understanding of how schools operate is advantageous
* Confident communicator who can explain methods and take ownership of decisions

What They Offer

* Salary up to 50000
* Hybrid working with a minimum of two days per week in their London office
* Opportunity to work in a growing data function with strong long term progression
* Impactful work with real influence on campaign strategy and business performance
* Supportive, collaborative culture with a strong focus on autonomy#

How To Apply

If this sounds like your next step, apply today to find out more.

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Senior Data Strategist
Bristol, Hybrid (3 days per week)
£50,000 to £60,000

This is an exciting opportunity to join a specialist CRM agency during a period of significant growth and international expansion. You will shape data‑led CRM strategies, elevate customer experience, and play a key role in transforming how major brands use data to drive commercial outcomes.

The Company
They are an established CRM agency known for delivering impactful, insight‑driven customer engagement programmes. With decades of experience and a reputation for high‑quality work, they partner with a diverse portfolio of consumer brands across multiple sectors. Following recent global growth, they are entering an exciting phase of evolution, expanding their strategic capabilities and strengthening their data‑driven offering. Their culture is fast‑paced, collaborative and highly personable, with a close‑knit team environment.

The Role
As Senior Data Strategist, you will be a key strategic voice within the business, responsible for turning data into meaningful CRM strategies that drive measurable growth. You will:
* Create data‑led CRM strategies focused on customer lifecycle optimisation, revenue generation and ROI.
* Assess client tech stacks to identify opportunities to improve processes, personalisation and customer experience.
* Translate analytical insight into clear strategic recommendations that expand what clients can achieve.
* Build compelling, data‑driven decks and deliver confident storytelling to senior stakeholders.
* Leverage platforms such as Tableau and Adobe Analytics to uncover performance opportunities.
* Collaborate closely with data teams to turn insight into action and ensure strategies are grounded in robust evidence.
* Mentor junior strategists and contribute to the strategic development of client accounts.
* Work across a broad client portfolio, many of whom utilise tools such as Braze.

Your Skills and Experience
You will bring:
* Strong experience in CRM strategy, customer lifecycle thinking and data‑driven decision‑making.
* Ability to work with data teams and translate insight into actionable strategic recommendations.
* Confident stakeholder or client engagement, including presenting to senior audiences.
* Experience with CRM platforms, with exposure to Braze highly beneficial.
* Proficiency in Tableau or Adobe Analytics for insight generation.
* Strong communication skills and the ability to turn complex data into clear storytelling.
* A strategic, commercially minded approach with an interest in customer experience.

What They Offer
* Salary between £50,000 and £60,000.
* Hybrid working with three days per week in their Bristol office.
* The chance to shape data‑driven CRM strategy across well‑known brands.
* A supportive, tight‑knit team with opportunities to mentor and grow.
* Exposure to global accounts and evolving CRM capabilities.

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

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Lead Data Analyst

Permanent – £65k – London – Hybrid Working

The Role

As Lead Data Analyst, you’ll own the analytical strategy and delivery for a set of strategic client accounts. Acting as a senior data and technology partner, you’ll define client roadmaps, build robust analytical infrastructure, and translate complex data into clear, commercially focused insights for senior stakeholders.

This is a hands-on, client-facing role sitting at the intersection of data engineering, analytics, and business strategy.

What You’ll Do

• Own end-to-end delivery of client data projects
• Design and maintain production-grade data models using SQL and dbt
• Lead analytical strategy, measurement, and attribution discussions
• Build compelling dashboards and data stories for senior audiences
• Manage multiple workstreams and client roadmaps
• Mentor junior analysts and set high analytical standards

About You

• Expert-level SQL and strong dbt experience
• Proven client or stakeholder management experience (consulting/agency a plus)
• Advanced data visualisation skills (e.g. Tableau, Looker)
• Strong understanding of digital marketing data (GA4, Google Ads, Meta Ads, attribution)
• Excellent communication and organisational skills
• Comfortable operating as a senior individual contributor and team leader
• Experience or interest in Python / data modelling is a bonus

If you are interested in the role, please apply. To follow up please email or message me on LinkedIn.

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Lead Data Analyst

London Bridge hybrid, £65,000 plus benefits

A great opportunity to take on a strategic Lead Data Analyst role where you will work across experimentation, modelling and BI projects, while shaping long term data strategy and supporting complex digital marketing programmes.

The Company
They are a high growth data and performance consultancy combining analytics, data science and engineering to drive measurable, sustainable growth for well known brands. Their work spans digital marketing data, advanced measurement and predictive modelling, with strong access to client datasets and a culture centred on technical excellence.

The Role
* Lead analytical work across experimentation, causal inference and incrementality
* Build predictive models such as LTV, propensity and forecasting
* Deliver BI and reporting projects using cloud based data and dbt pipelines
* Work hands on with SQL and digital marketing data from Google and Meta
* Partner with data scientists to deploy models into advertising platforms
* Mentor analysts and contribute to technical development across the team

Your Skills And Experience

* Strong technical ability with SQL
* Experience using dbt for transformation and production data models
* Background working with digital marketing data and ad platform signals
* Exposure to BI and analytics projects using tools such as Looker or Tableau
* Understanding of experimentation, causal inference and incrementality
* Knowledge of MMM, LTV and propensity modelling
* Confident communicator who can collaborate with a range of stakeholders

What They Offer

* Up to £65,000 salary
* Hybrid working with one day per week at London Bridge
* Advanced analytics, modelling and measurement projects
* Strong progression opportunities in a growing data function

How To Apply
If this sounds like your next step, apply today to learn more.

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Lead Data Analyst

London/Hybrid

Up to £65,0000

Are you a spirited Data Analyst who enjoys engaging with people? We are partnering with a marketing agency who are looking to bring in a Lead Data Analyst and to continue their rapid growth!

ROLES AND RESPONSIBILITIES:

The Lead Data Analyst will:

-Take ownership of strategic client accounts

-Own the tech roadmap

-Engage with internal and external stakeholders

-Work with Data Analysts to coordinate on dashboarding and reporting etc.

-Prioritise projects at the business

-Be responsible for end to end delivery of data projects from strategy with the client all the way to presenting insight to stakeholders

-Get involved technically when needed

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

-Great communication skills allowing you to communicate technical language to non-technical people

-Strong experience in SQL

-Previous experience in digital marketing data including Google Ads, Meta Ads and GA4

-Vast expertise using data visualisation tools (Power BI, Looker, Tableau etc)

-Ability to mentor junior analysts as a senior leader within the team

-Strong project management skills allowing you to manage multiple tasks

-Experience with dbt for data modelling

-Interest or experience in Data Science/Modelling

APPLY BELOW!

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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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Lead Data Engineer

Hybrid (3 Days Office – Basingstoke)

Up to £80,000 + 10% Bonus

We’re partnering with a regulated financial services business on a Lead Data Engineer hire to drive the delivery of a next-generation cloud data platform.

This is a senior, hands-on leadership role owning architecture, governance and engineering standards across a modern Azure / Databricks ecosystem – enabling advanced analytics, financial modelling, and AI use cases across the organisation.

You’ll lead a small team, shape long-term platform strategy, and work closely with senior stakeholders to ensure data becomes a true competitive advantage.

Why consider this role?

• Lead delivery of a strategic cloud data platform

• Own architecture across Azure, Databricks, Synapse & Delta Lake

• Influence enterprise-wide data governance and standards

• Hybrid working – 3 days per week in the office

• Competitive salary, bonus & strong benefits

• High-impact role within a regulated environment

What you’ll be doing

• Designing and evolving a modern Azure data architecture

• Leading engineering best practice across pipelines, quality and monitoring

• Owning data governance, lineage and documentation standards

• Managing and mentoring data engineers

• Partnering with business leaders to translate strategy into scalable solutions

• Driving Agile delivery and stakeholder alignment

• Ensuring compliance in a regulated finance environment

What we’re looking for

• Proven experience as a Lead / Principal Data Engineer

• Deep Azure data stack knowledge (Databricks, Synapse, Delta Lake, Unity Catalog)

• Strong SQL and data-modelling capability

• Experience with orchestration, monitoring and data quality tooling

• Background working in regulated financial services

• Confident stakeholder communicator

• Experience leading small teams

Nice to have: Python, Power BI/DAX, Azure DevOps, legacy SQL platforms, ITIL or Microsoft certifications.

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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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