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SEO Manager (Website)

London, 4 days per week in office (5 day working week) , up to £45000

A great opportunity to take ownership of SEO performance for a high‑traffic ecommerce site, driving organic growth and shaping strategy within a fast‑paced digital environment. This role is ideal for someone who enjoys leading SEO direction while still being hands‑on with technical and content optimisation.

The Company

They are a large, multi‑brand retail organisation with a strong digital presence and a focus on continuous improvement. Their teams work in an ambitious, data‑driven environment where SEO plays a crucial role in scaling traffic, revenue and online visibility. You will join a supportive team that values expertise, collaboration and commercial impact.

The Role

* Manage and optimise SEO performance across an allocated site
* Develop and deliver the SEO roadmap covering technical, on‑page and content activity
* Lead keyword research, technical audits and site improvements
* Oversee day‑to‑day SEO operations and support a small team
* Analyse KPIs, report on performance and identify growth opportunities
* Partner with wider teams on content, PR, usability and site architecture
* Keep ahead of industry trends and champion SEO best practice

Your Skills and Experience

* Strong commercial experience in an SEO‑focused role within ecommerce
* Confident managing technical SEO, keyword strategy and onsite optimisation
* Ability to analyse performance data and translate it into clear actions
* Experience presenting results, insights and recommendations
* Comfortable leading workflows and supporting junior team members
* Strong understanding of usability, content structure and user behaviour

What They Offer

* Up to £45000 plus benefits
* Four‑days a week in the office, 5 day working week
* Opportunity to lead SEO strategy for a major consumer brand
* Growth potential and exposure to high‑impact digital projects

How to Apply

If this sounds like the right next step for you, please apply with your CV.

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Senior Data Scientist
London (Hybrid, London) £100,000 to £120,000 + equity

This is a rare opportunity to join a fast-growing AI assurance business at a pivotal stage of its growth. You will play a critical role in shaping how high-stakes AI systems are evaluated, bringing statistical rigour and credibility to work that has real regulatory and legal impact. No sponsorship available.

The Company

They are an early-stage AI assurance organisation operating in a highly regulated and rapidly evolving market. Their work focuses on the independent evaluation of AI systems used in sensitive decision-making contexts, helping organisations demonstrate fairness, accountability, and compliance. With strong commercial traction and a predominantly US-based customer base, they are scaling quickly while maintaining a high bar for analytical quality.

The Role

As a Senior Data Scientist, you will take ownership of the analytical methodologies that underpin the evaluation of AI systems. This role is research-led and statistically focused, rather than centred on building production machine learning models.

Key responsibilities include:

• Designing and running rigorous statistical tests to evaluate bias, fairness, and consistency in AI-driven systems
• Defining defensible methodologies for scoring, ranking, and interpreting AI outputs
• Building and validating synthetic datasets and test scenarios to assess system behaviour
• Leading research-driven experimentation to explore correlations, behavioural variables, and edge cases
• Setting quality and evidence thresholds for what constitutes statistically valid and defensible results
• Working closely with founders, product, and technical teams on high-impact analytical questions

Your Skills & Experience

You will bring strong applied experience in statistical analysis and AI evaluation, with the confidence to make judgement calls in ambiguous, high-stakes environments.

Key requirements include:

• Strong commercial experience in applied statistics and experimental design
• Proven capability in bias and fairness evaluation for AI or algorithmic systems
• Experience generating and validating synthetic data for testing or assurance purposes
• Ability to critically assess methodology, limitations, and real-world implications of analytical outputs
• Confidence communicating complex findings clearly to both technical and non-technical stakeholders
• Python experience for statistical analysis and reproducible research workflows

A PhD or advanced academic background in a relevant field is advantageous, but not essential if you bring strong applied industry experience.

What They Offer

• Salary of £100,000 to £120,000 plus meaningful equity
• Hybrid working model with three days per week in a London office
• High autonomy and influence in an early-stage, high-growth environment
• The opportunity to shape industry standards in responsible and compliant AI
• Clear progression as the data and analytics function scales

How to Apply

Apply below of this sounds like the perfect opportunity for you, or email me at

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DATA ENGINEER

Up to £70,000 + BENEFITS
UK (Remote‑first)

This is a great opportunity to join a high‑growth education technology business where you can take ownership of building and scaling a modern data platform that underpins decision‑making across the entire organisation.

THE COMPANY:

The business is scaling rapidly and investing heavily in data to create a single, trusted view of performance across marketing, product and operations.

THE ROLE:

You will take ownership of a modern data platform. Key responsibilities include:

• Owning and developing the end‑to‑end data platform
• Building and maintaining robust data ingestion pipelines into BigQuery
• Designing and maintaining analytics‑ready dbt models
• Partnering closely with the BI Analyst to support company‑wide reporting and self‑serve analytics

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Google BigQuery/GCP (3+ years’ hands‑on experience)
• Data ingestion tools such as Fivetran
• dbt Cloud and analytics‑ready data modelling

THE BENEFITS:

You will receive a salary of up to £70,000 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.

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ANALYTICS ENGINEER – 12 month FTC

£75,000 + BENEFITS

PRIMARILY REMOTE

THE COMPANY:

This client are a well‑established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible‑by‑choice working, a positive work‑life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise

THE ROLE:

You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership.

Key responsibilities include:

• Designing and building curated datasets using dimensional and semantic modelling techniques
• Developing and maintaining SQL and PySpark transformation pipelines
• Partnering closely with Data Engineers
• Translating business requirements into clear, well‑documented data models

YOUR SKILLS AND EXPERIENCE:

• Advanced SQL, including complex transformations and modelling
• Databricks
• PySpark and working within a Lakehouse or modern data platform
• Dimensional modelling and analytics engineering best practices
• Communicating effectively with both technical and non‑technical stakeholders

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £75,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

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

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Applied Automation Engineer – 12 month FTC
London, Hybrid working, £60,000 to £100,000 plus bonus and benefits

This is a high impact opportunity to take ownership of a business critical automation project within a lean, collaborative data environment. You will play a key role in replacing long standing manual processes with a robust, scalable reporting and calculation platform, with real visibility across senior leadership and the chance to shape how data and automation are done going forward.

The Company

They are a specialist investment organisation operating in the alternative assets space, with a long established track record and a global footprint. The business is deliberately small and flat, with a culture built around trust, low ego, and direct access to decision makers. Collaboration is central to how they work, with teams sitting close to the commercial problem and empowered to deliver meaningful change.

The Role

As an Applied Automation Engineer, you will be responsible for the end to end delivery of a fully automated LAV and NAV calculation system used across a diverse investment portfolio. This is a fixed term role created to deliver a specific, high value project, with strong potential to extend or convert based on success.
Key responsibilities include:

• Designing and building automated data ingestion pipelines for structured and unstructured sources, including APIs, files, and reports
• Implementing and maintaining SQL based data models to support complex financial calculations
• Owning the full delivery lifecycle, from requirements through to production deployment
• Working closely with data science, engineering, and business stakeholders to ensure outputs are accurate, robust, and fit for purpose
• Creating a platform designed for longevity, with future potential for AI or agent based enhancements

This is an implementation focused role, suited to someone who enjoys solving real world problems and turning ambiguity into working systems.
Your Skills and Experience

• Strong commercial experience building production grade systems using Python and SQL
• Proven ability to automate manual or legacy processes end to end
• Solid understanding of data workflows, APIs, and system integration
• Experience working with CI and CD practices in a collaborative engineering environment
• Strong mathematical and logical problem solving capability
• Comfortable working close to the business and explaining technical concepts clearly
• Exposure to financial services, AI tooling, FastAPI, or agentic approaches is beneficial but not essential

You will bring a pragmatic, low ego approach and be comfortable taking ownership in a small, high trust team.

What They Offer

• Salary between £60,000 and £100,000, with most hires landing around the mid range
• Competitive discretionary bonus with a strong historical track record of payout
• Hybrid working model with a balance of office collaboration and home working
• A high visibility role with genuine influence over data and automation strategy
• Opportunity for contract extension or permanent conversion following the initial term

Please note, candidates must have the right to work in the UK as visa sponsorship is not available.

How to Apply
If you are an automation focused engineer who enjoys owning complex data driven projects and wants to see the real world impact of your work, apply now to learn more.

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Senior Product Analyst

London Hybird

60k

We are hiring multiple Senior Product Analysts to join a fast-growing, data-led organisation where analytics plays a central role in shaping products, strategy and customer outcomes. This role offers real ownership, strong visibility, and the chance to work on high-impact product decisions within a collaborative, high-performing environment.

The Company
We are a digital financial services business operating at scale, with a strong focus on building intuitive, customer-first products. Data is deeply embedded across product, engineering and operations, and analytics is seen as a strategic partner rather than a support function. We are profitable, growing quickly, and continuing to invest heavily in our people, technology and long-term product vision.

The Role

You will work as a Senior Product Analyst embedded within product teams, using data, experimentation and stakeholder collaboration to inform product strategy, optimise performance and improve customer outcomes at scale.

• We partner closely with product managers, engineers and senior stakeholders to shape product strategy and priorities
• We define, refine and embed clear metrics to measure product performance and customer outcomes
• We analyse large, complex datasets to identify trends, opportunities and risks
• We design and evaluate experiments to test hypotheses and inform product development
• We quantify trade-offs across customer experience, revenue, cost and risk
• We build dashboards, deep dives and scalable analytical tools to support decision making
• We communicate insights clearly and influence decisions across technical and non-technical audiences

Your Skills and Experience

• Strong SQL capability and confidence working with complex, high-volume datasets
• Experience operating in a fast-paced, data-led environment such as fin tech, financial services, consulting or a high-growth digital business
• Strong analytical problem-solving skills with the ability to structure ambiguous questions
• Experience using BI tools such as Tableau, Looker or Power BI
• Clear, concise communication skills with the ability to influence stakeholders
• A proactive mindset with a genuine interest in learning and continuous improvement

What We Offer

• Base salary between £45,000 and £70,000, with flexibility up to £75,000
• Annual bonus of up to 10 percent
• Employer pension contribution of 7 percent
• Private medical cover and additional well being benefits
• Hybrid working with 2 to 3 days per week in a modern London office
• Up to 120 days per year working from abroad
• Strong progression pathways, structured development support and funded learning opportunities

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LEAD DATA ANALYST

£65,000 + Benefits

LONDON (HYBRID)

This is an opportunity to step into a high‑impact Lead Data Analyst role where you shape data strategy, own end‑to‑end delivery, and influence senior stakeholders. You will work closely with performance‑driven teams and have the freedom to build, innovate, and lead.

The Company
We are a fast‑growing performance marketing and technology business that uses modern data tooling to drive commercial impact. Our focus is on building tailored analytical solutions that help clients scale profitably. You will join a cooperative environment that values clear thinking, technical rigour, and a proactive approach to solving complex problems. As one of their early senior hires, you will help set strong foundations for future growth.

The Role

This role positions you as the strategic lead for high‑value analytics projects, partnering closely with senior stakeholders to shape data strategy and create an impact with insights. You will combine hands‑on technical work with client leadership, owning the full lifecycle of data solutions from transformation design to executive‑level presentation. It is an opportunity to drive commercial outcomes, elevate analytical capability, and play a key role in a growing data function.

• Lead analytical strategy across key client accounts, acting as a trusted data partner.
• Own end‑to‑end project delivery from scoping to presenting insights to senior stakeholders.
• Build and maintain production‑grade SQL and dbt models.
• Develop clear, compelling dashboards and data stories using tools such as Tableau or Looker.
• Guide clients on tracking, attribution, and digital marketing data best practice.
• Mentor junior analysts and support high analytical standards across the team.

Your Skills and Experience

We are looking for strong stakeholder engagement, experience using Google/Meta ads, and confident experimentation background.

* Strong commercial experience with SQL and dbt in production environments.
* Confident working with clients, shaping roadmaps, and managing multiple workstreams.
* Skilled in data visualisation and communicating insights to non‑technical audiences.
* Deep understanding of the digital marketing ecosystem and analytics platforms.
* Comfortable bridging technical detail with commercial outcomes.

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Senior Data Scientist
London (Hybrid) | £100,000 to £120,000 + equity

This is a rare opportunity to step into a high impact data science role where statistical rigour genuinely matters. You will work on the independent evaluation of AI systems used in real world, high stakes decision making, with outputs that influence regulatory, legal and commercial outcomes. If you are motivated by credibility, methodology and meaningful responsibility, this role stands out from typical data science positions.

The Company

They are an early stage AI assurance business operating at the intersection of data science, regulation and responsible AI. Their platform provides independent testing and validation of AI systems used by organisations deploying AI at scale. With strong commercial traction and a growing international customer base, they are building analytical standards that customers rely on for accountability and compliance.

The Role

You will play a central role in defining and delivering rigorous evaluations of AI systems, particularly around bias, fairness and consistency.
Key responsibilities include:

• Designing and running robust statistical tests to assess bias and fairness in AI driven decision systems
• Developing and validating synthetic datasets and testing scenarios under real world constraints
• Creating defensible methodologies for scoring, ranking and interpreting AI outputs
• Defining evidence thresholds and standards for what is statistically valid and publishable
• Conducting research driven experimentation to test behavioural and outcome level correlations
• Contributing to high stakes stakeholder discussions where analytical judgement and clarity are critical

Your Skills and Experience

They are looking for someone with strong applied analytical judgement rather than a pure modelling background.
You will bring:

• Strong commercial experience in statistical testing, experimental design and inference
• Hands on experience evaluating AI systems, models or algorithms, particularly in black box settings
• Experience working with bias, fairness or discrimination analysis in applied contexts
• Practical knowledge of synthetic data generation and dataset design
• Confidence making and defending methodological decisions under uncertainty
• Fluency in Python for statistical analysis and reproducible workflows
• An interest in the real world, regulatory and ethical implications of data science work

A PhD or equivalent research background is beneficial but not required if you have strong applied experience.

What They Offer

• Salary between £100,000 and £120,000 plus meaningful equity
• 33 days holiday including bank holidays
• Hybrid working with three days per week in a London office
• Learning and development budget
• High autonomy and the chance to shape analytical standards in a fast growing field

How to Apply
Apply now to discuss how your statistical and analytical expertise could shape the future of AI assurance.

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BI ANALYST
LONDON/HYBRID
UP TO £70,000

This is a rare opportunity to join a high organisation at a pivotal stage of scale up. Sitting within a centralised Business Intelligence function, you will play a key role in shaping how data is used across the business, influencing decisions at pace and delivering insight that genuinely drives value.

ROLES AND RESPONSIBILITIES:
The BI Analyst will:

• Use SQL to explore data, build well structured datasets and deliver repeatable analysis
• Design, build and maintain dashboards using modern BI tools such as Tableau or similar
• Deliver recurring MI and reporting to support commercial, operational and risk decisions
• Identify and implement opportunities to automate manual reporting processes
• Support performance monitoring across key business domains
• Translate business requirements into clearly defined and documented metrics
• Contribute to improving data quality, modelling standards and the wider semantic layer

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Strong commercial experience in a BI Analyst, Data Analyst or Reporting Analyst role
• Advanced SQL skills, including joins, aggregations and complex queries
• Experience building data models and transformations, ideally using dbt
• Exposure to semantic modelling, star schemas or Kimball style methodologies
• Experience with data visualisation tools such as Tableau, Power BI or Looker
• Comfortable working with stakeholders and explaining insight to non technical audiences
• A value driven mindset with clear examples of impact from your analysis

APPLY BELOW!

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Senior Research Executive

London – 4 days in office

40-45k

This Senior Research Executive role is ideal for someone who enjoys fast paced, client facing quantitative research and wants real ownership of projects. The role stands out for its blend of hands on delivery, close client partnership, and exposure to a wide variety of commercial, social, and political research.

The Company
We are a growing research and technology scale up combining rigorous research thinking with proprietary tools to deliver high quality data quickly and efficiently. We work with a diverse mix of commercial brands, non profits, and public sector organisations. Our teams bring together experienced researchers and technical specialists, creating a collaborative, curious, and high performing environment.

The Role

There will be a mix between mostly ad hoc projects and tracking studies. We are looking for 2-3 year’s experience as a researcher in quantitative market research, with knowledge of the full research life cycle: survey design, fieldwork, data delivery, and insight reporting.

• Independently own and deliver quantitative research projects across multiple sectors and audiences
• Act as the primary point of contact for clients, leading calls and managing communication throughout the project life cycle
• Scope complex research requirements and translate them into clear, deliverable research designs
• Script questionnaires and manage fieldwork, including quota management and data quality checks
• Produce data tables and custom outputs using Excel, DisplayR, Q, or similar tools
• Write tab specs and deliver data at pace to meet tight client deadlines
• Manage, coach, and support junior researchers to ensure consistent quality
• Work closely with product, engineering, commercial, and operations teams

Your Skills & Experience

A core part of this role is scripting surveys from scratch and delivering ad hoc quantitative projects in a fast paced environment, often working to short, client driven deadlines.

• Strong commercial experience delivering quantitative market research
• Confident survey design and questionnaire scripting skills
• Experience managing fieldwork and handling raw data
• Proven ability to produce cross breaks and data tables
• Strong Excel capability; experience with DisplayR or similar platforms is beneficial
• Commercial mindset with experience supporting proposals or RFPs
• Ability to identify and mitigate research risks
• Comfortable working in a highly client facing, fast moving environment
• Interest in mentoring and developing junior researchers

What We Offer

• Salary up to 45,000 depending on experience
• Hybrid working in London
• Exposure to high profile commercial, political, and social research projects
• Opportunity to work with innovative, AI enabled research technology
• Clear development and progression opportunities
• Benefits including private healthcare, 25 days annual leave, and pension contribution

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Data Engineer

up to £90,000 + Benefits
Manchester (Hybrid)
This is a great opportunity to join a high‑growth adtech scale‑up where you can take ownership of large‑scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI.

THE COMPANY

This is a UK‑based adtech SaaS platform that using machine learning and real‑time behavioural analytics to help brands optimise performance.

THE ROLE

Key responsibilities include:

• Designing, building, and maintaining batch and streaming data ingestion pipelines for high‑volume event data
• Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency
• Refactoring poorly structured data into clean, well‑governed, ML‑friendly datasets
• Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation
• Ingesting and integrating new and under‑utilised data sources
• Working on greenfield projects while scaling existing data infrastructure to billions of data points

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Python and SQL
• AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda)
• End‑to‑end ownership, from proof‑of‑concept through to production

THE BENEFITS

You will receive a salary of up to £90,000 depending on experience, along with a comprehensive benefits.

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

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