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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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