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DATA ENGINEER

UP TO £55,000 + BENEFITS

Remote (UK based)

This is a great opportunity to join a high‑growth data and machine learning consultancy where you can take ownership of automation, integrations, and ETL pipelines.

THE COMPANY:

They are a fast‑scaling organisation specialising in alternative data and machine learning solutions for investors and commercial teams. Their platform delivers data‑driven insights across a range of industries, supported by a strong engineering culture. With continued growth and recent investment, they are expanding their core engineering team to further improve internal data workflows and automation.

THE ROLE:

You will take ownership of ETL and automation activities that enable efficient, high‑quality data science delivery. Key responsibilities include:

• Building and maintaining custom ETL pipelines that support internal data workflows.
• Creating and improving automation processes that connect tools, systems, and reporting.
• Integrating internal and external APIs to streamline workflows.
• Orchestrating pipelines using Airflow or AWS Step Functions.
• Deploying containerised workloads into AWS.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python, including Pandas and standard data libraries.
• ETL pipeline development and data workflow automation.
• AWS as a core operating environment.
• Containerisation using Docker.
• Workflow orchestration tooling such as Airflow or Step Functions.
• Integrating with external APIs and internal tools.

THE BENEFITS:

You will receive a salary of up to £55,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA ENGINEER

UP TO £55,000 + BENEFITS

Remote (UK based)

This is a great opportunity to join a high‑growth data and machine learning consultancy where you can take ownership of automation, integrations, and ETL pipelines.

THE COMPANY:

They are a fast‑scaling organisation specialising in alternative data and machine learning solutions for investors and commercial teams. Their platform delivers data‑driven insights across a range of industries, supported by a strong engineering culture. With continued growth and recent investment, they are expanding their core engineering team to further improve internal data workflows and automation.

THE ROLE:

You will take ownership of ETL and automation activities that enable efficient, high‑quality data science delivery. Key responsibilities include:

• Building and maintaining custom ETL pipelines that support internal data workflows.
• Creating and improving automation processes that connect tools, systems, and reporting.
• Integrating internal and external APIs to streamline workflows.
• Orchestrating pipelines using Airflow or AWS Step Functions.
• Deploying containerised workloads into AWS.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python, including Pandas and standard data libraries.
• ETL pipeline development and data workflow automation.
• AWS as a core operating environment.
• Containerisation using Docker.
• Workflow orchestration tooling such as Airflow or Step Functions.
• Integrating with external APIs and internal tools.

THE BENEFITS:

You will receive a salary of up to £55,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA ENGINEER

UP TO £55,000 + BENEFITS

Remote (UK based)

This is a great opportunity to join a high‑growth data and machine learning consultancy where you can take ownership of automation, integrations, and ETL pipelines.

THE COMPANY:

They are a fast‑scaling organisation specialising in alternative data and machine learning solutions for investors and commercial teams. Their platform delivers data‑driven insights across a range of industries, supported by a strong engineering culture. With continued growth and recent investment, they are expanding their core engineering team to further improve internal data workflows and automation.

THE ROLE:

You will take ownership of ETL and automation activities that enable efficient, high‑quality data science delivery. Key responsibilities include:

• Building and maintaining custom ETL pipelines that support internal data workflows.
• Creating and improving automation processes that connect tools, systems, and reporting.
• Integrating internal and external APIs to streamline workflows.
• Orchestrating pipelines using Airflow or AWS Step Functions.
• Deploying containerised workloads into AWS.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python, including Pandas and standard data libraries.
• ETL pipeline development and data workflow automation.
• AWS as a core operating environment.
• Containerisation using Docker.
• Workflow orchestration tooling such as Airflow or Step Functions.
• Integrating with external APIs and internal tools.

THE BENEFITS:

You will receive a salary of up to £55,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Engineer – Crypto Start Up

We are working with a Crypto Start-up company looking to hire a Machine Learning / AI Engineer

Requirements:

• RAG, LLM, GenAI experience
• Strong Data science experience
• Deployment / engineering experience
• Interest in Crypto

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Analyst – Marketing / CRM / Campaign Analytics

£45,000-£50,000 | Hybrid (2+ days office, Central London)

We’re partnering with a well-established creative and insight-led organisation that delivers large-scale campaigns The business has a strong track record in data-driven decision making and is investing further in its analytics capability.

They’re hiring a Data Analyst into a business-critical replacement role, joining a small, collaborative data team with real ownership and visibility across the organisation.

The Role

This is a hands-on, varied analytics role in a fast-paced, agency-style environment. You’ll support campaign planning, forecasting, CRM insight, and stakeholder decision-making, acting as a go-to person for data questions across the business.

The role offers increasing exposure to stakeholders and the opportunity to shape how data is used day-to-day.

Key Responsibilities

• Analyse incoming datasets from multiple sources (often Excel-heavy)

• Support campaign forecasting and modelling (e.g. volumes, timelines, expected outcomes)

• Work with a relational customer database supporting a core product area

• Produce insights and reporting via Power BI

• Maintain high standards of data quality, accuracy, and documentation

• Explain methodology and recommendations clearly to non-technical stakeholders

• Take ownership of outputs that directly influence campaign and business decisions

Essential Skills & Experience

• 3-5 years’ experience in a Data Analyst role

• Background in marketing, agency, or fast-moving commercial environments

• Advanced Excel (lookups, formulas, visualisation)

• Strong SQL (joins, selects, data manipulation)

• Experience building reports in Power BI

• Solid, hands-on exposure to CRM or customer databases

• Educated in the UK (familiarity with the education system is important)

Nice to Have

• Python or R (interest or early exposure welcomed)

• Forecasting experience beyond simple historical analysis

• Experience working with education, youth, or public-facing campaigns

Team & Culture

• Small, close-knit data team with a high level of trust

• Pragmatic, collaborative working style

• Strong focus on insight, not just reporting

• Hybrid setup with at least 2 days per week in a Central London office

Package & Process

• Salary up to £50,000 (some flexibility)

• Clear scope for progression as the data function grows

• Interview process includes technical discussion and a short SQL task

• 1-month notice preferred, though longer notice can be discussed

Find out more and apply via the link below.

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Research Manager

London | 45000 to 55000

This is an excellent opportunity to join a high‑growth research and technology business that is transforming how organisations understand consumers, citizens and audiences. You will work across diverse clients, take ownership of end‑to‑end quantitative projects, and play a key role in delivering high‑quality insight using innovative research technology.

The Company

They are a fast‑scaling research and data company built around modern technology, smart automation and robust quantitative methods. Their platform delivers high‑quality polls, surveys and data outputs at speed, supporting commercial brands, non‑profits and social organisations. The team brings together strong research expertise and engineering talent, creating a collaborative environment that is both analytical and forward‑thinking. They have built a strong reputation in the market and continue to grow rapidly.

The Role

* Independently manage and deliver quantitative research projects across sectors including political, consumer and multi‑market studies.
* Lead client communication from project scoping through to presenting results and insights.
* Manage client accounts, acting as the main point of contact and understanding broader strategic needs.
* Create data tables and outputs using internal tools and reporting platforms.
* Partner with consulting and analytics teams on larger insight programmes, occasionally leading these end‑to‑end.
* Mentor and develop junior researchers, ensuring strong delivery standards.
* Design high‑quality surveys, manage sampling and ensure data integrity across all stages.
* Support the delivery of brand tracking, brand lift, ad testing, segmentation and multi‑country research programmes.
Your Skills And Experience
* Strong experience delivering quantitative market research projects from brief to debrief.
* Confident designing surveys, managing fieldwork and producing data tables and cross‑breaks.
* Comfortable cleaning raw data and ensuring outputs meet strong quality standards.
* Strong Excel capability; familiarity with tools such as DisplayR is beneficial.
* Commercial awareness and ability to support quoting, proposals and RFP responses.
* Able to manage client conversations, challenge assumptions and provide clear recommendations.
* Comfortable mentoring junior team members and supporting their development.
* Detail‑oriented, proactive and committed to delivering high‑quality research.

What They Offer

* Salary between 45000 and 55000.
* Hybrid working with four days a week in their London office
* Exposure to a wide variety of clients across commercial, political and social sectors.
* Opportunity to work with innovative research technology, including AI‑powered tools.
* Benefits including private healthcare, 25 days annual leave and pension contributions.
* A collaborative, inclusive environment with strong learning and development opportunities.

How To Apply

If you are looking to take ownership of impactful quantitative research projects within a modern, innovative research team, apply now to learn more.

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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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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.

To Apply for this Job Click Here

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Senior Product Analyst – £80,000 (Hybrid – London)

Industry: Global Consumer Marketplace / App
Department: Product & Insights

A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide.

What You’ll Do

• Act as the lead data scientist for a core product domain

• Drive deep product analytics to uncover opportunities for growth and engagement

• Design, analyse, and interpret experiments across the product ecosystem

• Influence product strategy by connecting insights to business goals

• Improve datasets, dashboards, and analytical tooling

• Work closely with ML teams on discovery, ranking, and personalisation initiatives

What We’re Looking For

• Expert-level SQL + solid Python for product analytics

• Hands-on A/B testing experience (design + interpretation)

• Strong understanding of ETL/debugging data issues

• Excellent communication and stakeholder management skills

• Commercially-minded with experience balancing user and business needs

• Bonus: marketplace experience or exposure to ML-driven products

Why Apply

• High-impact role shaping core product decisions

• Great benefits, flexible work, and strong wellbeing support

• Opportunity to work closely with ML teams and influence a global user experience

Find out more and apply via the link below.

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Marketing Effectiveness Specialist (FTC)

Location: London (2 days per week, Tuesdays mandatory)
Salary: Up to £90,000 pro-rata
Contract: Fixed-Term

About the Role

We are seeking a hands-on Marketing Effectiveness Specialist to join a leading global data analytics business. This role is ideal for someone who thrives in fast-paced, cross-functional environments and enjoys translating strategy into measurable marketing outcomes.

The successful candidate will implement customer journeys, optimise marketing platforms, and support data-driven decision-making across multiple touchpoints. This is a high-impact role, providing the foundations for omnichannel marketing initiatives across a complex, global organisation.

Key Responsibilities

• Implement and optimise customer journeys across email, SMS, social, paid, and CRM channels.

• Work with marketing, data, and technology teams to ensure alignment and consistent execution.

• Monitor and measure campaign and platform performance, providing actionable insights.

• Support adoption of new marketing technology platforms, including CDPs and automation tools.

• Collaborate with global stakeholders to standardise processes and improve marketing effectiveness.

• Translate strategy into practical execution while managing competing priorities.

Who We’re Looking For

• Proven experience in MarTech, Marketing Operations, or Product Marketing roles.

• Strong stakeholder management skills and confidence working across global teams.

• Hands-on experience with marketing automation, CRM, social/paid platforms, or data platforms.

• Comfortable in a dynamic, fast-moving environment with multiple priorities.

• Industry-agnostic; able to apply marketing effectiveness principles across diverse sectors.

• Highly organised, strategic, and execution-focused.

What We Offer

• Opportunity to work in a globally recognised, innovative data analytics company.

• Exposure to multiple marketing platforms and customer touchpoints.

• Flexible working arrangements (2 days per week in London).

• Experience implementing large-scale, cross-functional marketing initiatives.

Find out more and apply via the link below.

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Analytics Consultant – Digital

London, hybrid (2 days per week in the office) | Up to £40,000 + benefits

Join a high‑growth performance marketing agency where digital analytics sits at the heart of how they plan, optimise, and measure media. If you enjoy variety, solving complex problems with data, and working closely with stakeholders, this role offers a broad remit, strong mentorship, and clear room to grow.

The Company
They are a mid-sized performance marketing agency with a global footprint and a strong presence in the UK. Their clients span household-name brands across energy, public sector, education, and ecommerce. Data, measurement, and experimentation are central to how they design and deliver marketing solutions. You will join a close-knit analytics team embedded within the wider business, partnering with media specialists, strategists, and product teams.

The Role
As a Digital Analytics Consultant, you will sit within the analytics function and support a range of media and marketing projects, primarily in a Google Cloud environment. You will:

• Build and maintain data pipelines and marketing data warehouses, often in BigQuery, to centralise digital and CRM data.
• Work with web analytics tools to design tracking, implement measurement plans, and support migrations such as GA4 setups.
• Develop SQL queries to transform, QA, and analyse data for reporting and deeper insight.
• Create dashboards and visualisations in tools such as Power BI, Looker, or Tableau to communicate performance to non-technical stakeholders.
• Support customer analytics projects including segmentation, CLTV analysis, and audience targeting for CRM and paid media activation.
• Collaborate closely with internal media and solutions teams to scope requirements and translate business questions into data solutions.
• Contribute to experimentation, testing, and recommendations that directly impact client marketing performance.

Your Skills & Experience
You will be a curious, proactive digital analytics professional with:

• Strong commercial experience using SQL to manipulate and analyse data.
• Hands-on experience with cloud data warehousing, ideally BigQuery or a similar platform.
• Practical knowledge of web analytics tools such as Google Analytics (including GA4) or Adobe Analytics.
• Understanding of tagging and implementation, for example using Google Tag Manager or similar tools.
• Experience building or maintaining reports and dashboards in tools like Power BI, Looker, or Tableau.
• A genuine interest in digital marketing, media performance, and how data can drive better decisions.
• Strong communication skills, with confidence working directly with internal stakeholders and clients.
• A collaborative, inquisitive mindset, keen to learn, ask questions, and get involved in a small team environment.

A background in agencies or consultancies is helpful but not essential if you are comfortable working across multiple projects and clients.

What They Offer

• Salary up to £40,000 depending on experience.
• Hybrid working with 2 set days per week in their London office, alongside flexible home-working.
• Ongoing training and upskilling across analytics, cloud, and data science, with mentorship from experienced consultants.
• Exposure to a wide variety of projects across web analytics, data warehousing, CRM, and predictive modelling.
• A supportive, tight-knit team culture where your ideas are heard and you can progress quickly as you grow your skill set.

How To Apply
If you are excited by the blend of digital analytics, cloud data, and hands-on problem solving in a media environment, apply with your CV today to find out more.

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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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