Product Analyst
London / £45000 - £55000 annum
INFO
£45000 - £55000
LOCATION
London
Permanent
PRODUCT ANALYST
£50,000 + Benefits
LONDON - HYBRID (2 DAYS PER WEEK IN OFFICE)
Please note, you must be a UK resident with full right to work.
ABOUT THE BUSINESS
This global media organisation operates at significant scale, with a strong presence across North America, Europe, and the UK. The business combines a sophisticated technology platform with a large media and publishing operation, powering high-traffic content sites that reach millions of users worldwide.
The publishing arm of the business focuses on owned and operated digital brands across sport and entertainment, generating revenue primarily through advertising, audience engagement, and emerging subscription models. Data and analytics sit at the heart of how audiences are understood, grown, and monetised.
THE TEAM
You'll join a multidisciplinary analytics function supporting the owned and operated publishing side of the business. The team works closely with editorial, product, commercial, and technology stakeholders and includes analysts, data engineering, and data science capability.
This role is a backfill within a lean but high-impact team, offering visibility across the full publishing ecosystem and exposure to large-scale, high-volume datasets.
THE ROLE
This is a hands-on analytics role focused on understanding audience behaviour, improving engagement, and supporting revenue growth across large content platforms. You'll analyse how users interact with content, test changes to on-site journeys, and help shape decisions around registration, subscriptions, and monetisation.
The role requires someone comfortable working across ambiguity, able to manage stakeholders confidently, and capable of balancing technical delivery with commercial impact.
KEY RESPONSIBILITIES
Audience & Product Analytics
- Analyse user behaviour across high-traffic content sites to understand engagement, retention, and return visits.
- Evaluate registration walls and sign-up flows, assessing their impact on user experience and revenue potential.
- Support decision-making around subscriptions, premium content, and audience capture strategies.
Engagement & Experimentation
- Optimise content recirculation, including navigation, "what to read next", internal linking, and dwell time.
- Design and analyse A/B tests to assess changes to layouts, journeys, and engagement mechanics.
- Translate experimental results into clear recommendations for product and editorial teams.
Broader Commercial Insight
- Support ad and monetisation strategy by helping teams understand audience segments and behaviour.
- Contribute to ad hoc analysis across the business, including forecasting site traffic and evaluating new initiatives.
- Explore emerging use cases such as AI-driven content enhancements and their impact on engagement.
Data & Reporting
- Query large-scale datasets within a cloud data warehouse environment.
- Build and maintain clear, actionable reporting to support product, editorial, and commercial stakeholders.
- Work with web analytics tools to validate tracking and interpret on-site behaviour.
SKILLS & EXPERIENCE REQUIRED
- Strong SQL skills with experience querying large, complex datasets (essential).
- Experience working with cloud-based data warehouses.
- Hands-on experience with web or digital analytics; familiarity with Google Analytics is a strong advantage.
- Comfortable analysing experimentation and A/B testing results.
- Ability to communicate clearly, push back where needed, and manage expectations with stakeholders.
- Experience working in fast-paced environments with evolving requirements.
Nice to Have:
- Python experience or interest.
- Background in media, publishing, or agency environments.
WHY APPLY?
- Work on products with millions of users and genuinely large-scale datasets.
- Play a key role in shaping audience engagement and monetisation strategy.
- High-impact role with exposure across product, editorial, and commercial teams.
- Flexible working, collaborative culture, and strong long-term growth opportunities.
CONTACT
Izabella Hage
Recruitment Consultant
SIMILAR
JOB RESULTS
Data Engineer – Liverpool
Liverpool
£55000 - £55000
+ Data Engineering
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
Data Engineer
Salary: Up to £55,000
Experience: 2-3 years
Location: Liverpool
Overview
I’m working with a growing, data-driven organisation looking for a Data Engineer to join their engineering team. This is an excellent opportunity for someone with a strong computer science background who enjoys building reliable data pipelines and working with modern cloud-based data platforms.
You’ll work closely with analytics and engineering teams to develop scalable, well-structured data solutions using modern tooling and best practices.
Key Responsibilities
- Design, build, and maintain data pipelines and transformations
- Work with cloud-based data platforms to support analytics and reporting needs
- Develop and optimise SQL-based data models
- Contribute to orchestration and scheduling using workflow tools
- Build and deploy containerised and serverless data solutions
- Apply software engineering fundamentals to data engineering challenges
Technology Stack
- Snowflake
- dbt
- Airflow
- SQL (strong focus)
- Cloud platforms (AWS, Azure, or GCP)
- Containers and Function Apps
- SQLMesh (or similar data transformation frameworks)
Requirements
- 2-3 years’ experience as a Data Engineer or similar role
- Strong SQL skills
- Experience working in a cloud environment
- Solid understanding of data engineering principles
- Computer Science or related technical degree
- Familiarity with data modelling and transformation tools (dbt preferred)
- Exposure to containers and serverless/function-based architectures
- Good communication skills and a collaborative mindset
Nice to Have
- Experience with Snowflake in production
- Exposure to Airflow orchestration
To Apply for this Job Click Here
Credit Strategy & Analytics Director
City of London
£130000 - £150000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Credit Strategy & Analytics Director
Up to £150,000
Hybrid
London
About the Company:
I am hiring a Credit Strategy Director for a leading lending fintech based in London. Within this role, you will be leading a team and setting up the strategies for existing customer management, to support the increase of profitability for their credit cards portfolio using tools like Python and SQL daily.
About the Role:
As a Credit Strategy Director, you will be:
- Driving insight for credit risk strategy using Python and SQL
- Detecting new trends on customer data to help increase business revenue
- Analysing both internal and external data to make strategic changes impacting growth and revenue
- Building out and leading a Credit Strategy function focusing on the ECM strategy
- Developing credit risk strategies across existing customers, like credit limit increase and decrease strategies
- Using SQL and Python daily for strategy development for the credit cards portfolio
Responsibilities:
To be successful as a Credit Strategy Director, you will need:
- Experience developing credit strategies for ECM.
- Experience working with unsecured credit portfolios
- Ideally experience working on Credit Cards
- Experience managing and leading a team for credit strategy
- Experience working with SQL and/or Python
- STEM Degree from a top university
Benefits
Up to £150,000 + Benefits
To Apply for this Job Click Here
Senior Credit Strategy Manager
City of London
£90000 - £110000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Senior Credit Strategy Manager
Up to £110,000
Hybrid
London
About the Company:
I am hiring a Credit Strategy Manager for a leading lending fintech based in London. Within this role, you will be developing strategies for existing customer management, to support the increase of profitability for the portfolio using tools like Python and SQL daily.
About the Role:
As a Senior Credit Strategy Manager, you will be:
- Driving insight for credit risk strategy using Python and SQL
- Detecting new trends on customer data to help increase business revenue
- Analysing both internal and external data to make strategic changes impacting growth and revenue
- Developing credit risk strategies across existing customers, like credit limit increase and decrease strategies
- Using SQL and Python daily for strategy development for the credit cards portfolio
Responsibilities:
To be successful as a Senior Credit Strategy Manager, you will need:
- Experience developing credit strategies for ECM.
- Experience working with unsecured credit portfolios
- Ideally experience working on Credit Cards
- Experience developing credit risk strategies for existing customers
- Experience working with SQL and/or Python
- STEM Degree from a top university
Benefits
Up to £110,000 + Benefits
To Apply for this Job Click Here
Data Engineer
Liverpool
£45000 - £50000
+ Data Engineering
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
DATA ENGINEER
£45,000-50,000 + BENEFITS
LIVERPOOL (Hybrid)
This is great company for an ambitious Data Engineer looking to be able to take real ownership and manage and optimise the data infrastructure.
THE COMPANY:
Working with this Martech company, you will be able to work on finding customers at the early stage of the cycle, and turn them into leads.
THE ROLE:
A Data Engineer will need to:
- Work closely with stakeholders across the business
- Design and implement ETL pipelines
- Managing data infrastructure
YOUR SKILLS AND EXPERIENCE:
A successful Data Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholders
- Strong experience in SQL/Python
- Experience with a Cloud
- Data modelling/warehousing experience
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £50,000 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.
To Apply for this Job Click Here
Lead Model Validation Analyst (Credit Risk)
London
£11111 - £11112
+ Risk Analytics
PermanentLondon
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LEAD MODEL VALIDATION ANALYST
COMPETITIVE SALARY + BENEFITS
LONDON
A Lead Model Validation Analyst position to join a well-established UK financial technology and lending platform that provides fast, data-driven financing solutions. The company, headquartered in London, has grown into a leading provider in their sector, leveraging technology and analytics to streamline access to credit. This position will play a key role in independently reviewing and validating a range of financial models to ensure robustness, accuracy, and regulatory compliance within a high-performing risk and analytics team.
THE ROLE
You can expect to be involved in the following day to day:
- Independently review and validate key models including mostly scorecards and some IFRS9 models, assessing conceptual soundness, data quality, and technical implementation.
- Partner closely with model development and business teams to identify model risks and drive timely remediation actions.
- Provide oversight of ongoing model performance monitoring, including back-testing, stability analysis, and recalibration activities.
- Produce clear, well-structured validation documentation and reports, communicating findings, limitations, and recommendations to senior stakeholders.
- Ensure validation activity and model documentation align with internal governance standards and relevant regulatory expectations.
- Contribute to the ongoing development and enhancement of the model risk management and validation framework in line with industry best practice.
- Proactively identify control weaknesses or emerging risks and take ownership of driving practical, effective solutions.
SKILLS AND EXPERIENCE
- Experience using Python
- Experience in validation (scorecards preferred but generally open)
- Experience working within a FCA regulated company
- A strong university degree in a numerate discipline
HOW TO APPLY
Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Scientist
London
£70000 - £100000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
London – (3 days a week in office)
Up to £100,000
About the Role
Our client is an data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They bring together expertise across data, technology and delivery to build and deploy advanced analytics solutions that have real-world impact.
As a Data Scientist, you’ll work closely with cross-functional teams to design, build and productionise data science and analytics products within client environments. Your work will be directly tied to value creation, helping organisations make smarter, data-driven decisions.
Key Responsibilities
- Understanding business challenges and translating them into value-linked data science solutions.
- Working closely with data engineers to define data requirements and pipelines.
- Performing exploratory data analysis and recreating key business KPIs.
- Feature engineering in collaboration with machine learning engineers, ensuring production-ready standards.
- Developing, deploying and maintaining machine learning models.
- Evaluating project impact through experimentation and A/B testing.
Your work will focus on delivering high-value insights and solutions, including:
- Building optimisation models to improve efficiency and throughput.
- Developing predictive models to reduce risk and prevent downtime.
- Designing churn prediction strategies to improve customer retention.
- Identifying next-best actions to support sales and commercial teams.
- Applying geospatial modelling to optimise footprint and location strategy.
What We’re Looking For
- At least 2+ years’ experience applying data science to deliver commercial impact.
- A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject).
- Strong Python skills (Pandas, NumPy, Scikit-learn or similar).
- A collaborative mindset with excellent communication skills.
- Experience working in cross-functional teams delivering production-ready solutions.
If this role looks of interest, apply below.
To Apply for this Job Click Here
Data Scientist
London
£90000 - £110000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Scientist
Up to £110,000
London (Hybrid, 4 days onsite per week)
About the role:
Join a leading corporate venture capital firm, within the secondaries space who invest and partner with start-ups across multiple industries, helping them scale and achieve global impact.
Key Responsibilities:
- Collaborate with the deal team to pinpoint where data science can add value to the investment process.
- Create data tools and dashboards to support investment decisions and portfolio monitoring.
- Analyse large datasets to derive actionable insights for investment strategies, effectively communicating these to senior stakeholders.
- Work with the VP of Data and the investment team to improve data solutions.
- Proactively investigate new data science methodologies and technologies to benefit team objectives.
What We’re Looking For:
- MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- Strong coding skills in Python and SQL
- Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment
**Please note that this role does not offer visa sponsorship**
To Apply for this Job Click Here
Machine Learning Engineer
London
£75000 - £90000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Machine Learning Engineer
London – (3 days a week in office)
Up to £90,000
About the Role
Our client is a data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They combine deep technical expertise with real-world delivery to design, build and deploy machine learning solutions that create tangible business impact.
As a Machine Learning Engineer, you’ll work closely with Data Scientists, Data Engineers and delivery teams to productionise models and build robust, scalable ML systems within client environments. This role is highly hands-on, with a strong focus on deployment, performance and reliability.
Key Responsibilities
- Translating data science models into scalable, production-ready machine learning solutions.
- Designing and building end-to-end ML pipelines, from data ingestion to deployment and monitoring.
- Collaborating with data engineers on data architecture, pipelines and feature stores.
- Working closely with data scientists to productionise models and improve performance.
- Deploying, monitoring and maintaining machine learning models in live environments.
- Implementing testing, validation and monitoring frameworks to ensure model reliability and impact.
Your work will focus on delivering high-value ML solutions, including:
- Productionising optimisation and predictive models at scale.
- Building systems to anticipate and prevent operational downtime.
- Deploying churn and customer behaviour models into live decision-making systems.
- Enabling next-best-action and recommendation engines for commercial teams.
- Supporting geospatial and advanced analytical models with robust ML infrastructure.
What We’re Looking For
- 2+ years’ experience building and deploying production machine learning systems.
- A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject).
- Strong Python skills and experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch).
- Experience with model deployment, monitoring and ML pipelines (e.g. CI/CD, MLOps concepts).
- A collaborative mindset with strong communication skills and experience working in cross-functional teams.
If this role looks of interest, apply below.
To Apply for this Job Click Here
Braze Campaign Operations Specialist
City of London
£300 - £350
+ Advanced Analytics & Marketing Insights
ContractCity of London, London
To Apply for this Job Click Here
- Braze Campaign Operations Specialist (Contract)
- 3 Month Contract
- Up to £350 per day (Inside IR35) DOE
- 2 days per week onsite in London
We’re working with a leading business looking to bring in a Braze expert to support on campaign operations.
The Role
This is a hands-on delivery role where you’ll take ownership of building, testing, and optimising multi-channel CRM and lifecycle campaigns, within Braze. You’ll work closely with internal strategy, data, and creative teams, as well as client stakeholders, to ensure campaigns are delivered on time, to spec, and to a consistently high standard.
Key Responsibilities
-
Build and deploy CRM and lifecycle campaigns in Braze.
-
Support the business through campaign setup, QA and reporting, ensuring seamless execution.
-
Collaborate with strategy, data, and creative teams to deliver engaging and effective customer journeys.
-
Manage stakeholder communications and maintain strong client relationships.
-
Troubleshoot campaign issues and uphold best practices across workflows and automation.
Skills & Experience
-
Certified Braze Expert (key), with extensive hands-on experience in campaign building and automation.
-
Deep understanding of CRM workflows, segmentation, and lifecycle marketing principles.
-
Excellent communicator, able to clearly articulate technical concepts to clients and non-technical audiences.
-
Confident managing multiple workstreams independently within a fast-paced agency environment.
To Apply for this Job Click Here
Senior AI Scientist
London
£70000 - £80000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior AI Scientist
London – (Hybrid, 3 days a week in office)
Up to £80,000 + benefits
About the Role
Our client is a data-led organisation that has made significant investment in modern data and AI capabilities. With a mature data platform and strong executive buy-in, they are now focused on embedding advanced AI into both customer-facing products and internal decision-making tools.
As a Senior AI Scientist, you’ll play a key role in designing, building and deploying applied AI systems, with a particular focus on large language models (LLMs), retrieval-augmented generation (RAG), and conversational AI. This is a hands-on role operating across the full AI lifecycle, from experimentation and prototyping through to production deployment.
You’ll work closely with product, engineering and business teams to ensure AI solutions are practical, scalable and deliver clear commercial and customer impact.
Key Responsibilities
- Leading the development of AI proof-of-concepts and production systems, including LLM-powered assistants and chatbots.
- Designing and implementing RAG pipelines using vector search, embeddings and knowledge retrieval strategies.
- Fine-tuning, evaluating and deploying language models, with a focus on response quality, reliability and performance.
- Building agentic workflows and conversational flows for both customer-facing and internal use cases.
- Defining evaluation frameworks and quality metrics for AI-generated outputs.
- Collaborating with product and engineering teams to integrate AI solutions into live systems.
- Contributing to AI architecture decisions and mentoring more junior engineers and data scientists.
Your work will focus on delivering high-impact AI solutions, including:
- Customer and internal chatbots powered by LLMs.
- Intelligent knowledge retrieval and question-answering systems.
- Voice and chat-based automation to reduce cost-to-serve.
- AI tools that improve customer experience, retention and operational efficiency.
What We’re Looking For
- Strong experience building applied AI or machine learning systems in production environments.
- Advanced Python skills and hands-on experience with modern AI tooling (e.g. LLM frameworks, vector databases, orchestration libraries).
- Practical experience with LLMs, RAG architectures, embeddings and transformers.
- Experience deploying models using cloud infrastructure and working with microservices or APIs.
- Familiarity with MLOps concepts such as monitoring, evaluation and continuous improvement.
- Strong communication skills and the ability to translate business problems into AI-driven solutions.
- A collaborative mindset and experience working with both technical and non-technical stakeholders.
If this role looks of interest, apply below.
To Apply for this Job Click Here
Adobe Campaign Developer – Contractor
London
£300 - £350
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Adobe Campaign Developer
£300-350 per day
3 months
We’re working with a well-known retailer who is looking for an experienced Adobe Campaign Developer to support their CRM and customer marketing initiatives on a contract basis.
This role will sit within a fast-paced digital and marketing environment, working closely with CRM, data, and marketing teams to design, build, and optimise multi-channel customer campaigns.
Key Responsibilities
- Design, develop, and deliver customer journeys and campaigns using Adobe Campaign (Classic or Standard)
- Build and maintain workflows, schemas, and targeting rules
- Develop and manage email, SMS, and push campaign templates
- Integrate Adobe Campaign with internal data sources and external systems
- Troubleshoot campaign and data issues, ensuring high deliverability and performance
- Support campaign automation, personalisation, and segmentation strategies
- Work closely with marketing and CRM stakeholders to translate requirements into technical solutions
- Ensure best practices around data quality, compliance, and documentation
Skills & Experience Required
- Proven hands-on experience as an Adobe Campaign Developer
- Strong knowledge of Adobe Campaign Classic (JavaScript, SQL, workflows, schemas) or Adobe Campaign Standard
- Solid SQL and data manipulation skills
- Experience working in retail or eCommerce environments (highly desirable)
- Understanding of CRM, customer data platforms, and multi-channel marketing
- Experience integrating APIs and external data feeds
- Strong problem-solving skills and ability to work independently in a contract setting
To Apply for this Job Click Here
Senior Data Analyst
London
£55000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Data Analyst – Customer Experience
£65,000 + 10% Bonus + Equity (Exit Expected in 1-2 Years)
Fully Remote (Quarterly meet-ups in London/Brighton – expensed)
We’re partnered with a high-growth, mission-led tech company in the subscription and marketplace space, backed by recent investment and valued at over $100M. They’re scaling fast, expanding their product and data capabilities, and preparing for an exciting exit event within the next couple of years – meaning the equity on offer has real value.
This is a key hire in a small but growing data team that’s helping the business become more data-driven, shaping how product and customer decisions are made. You’ll be joining a close-knit, passionate team that truly loves what they do and the community they’re building.
The Role
You’ll join as a Senior Data Analyst focused on Member / Customer Experience, working closely with Product, UX, and Engineering teams. Your work will directly impact metrics like churn, renewal rates, and lifetime value, driving insights that improve the customer journey from start to finish.
You’ll:
-
Partner with product teams to run and analyse experiments and validate hypotheses.
-
Use data to understand behaviours that drive renewals and retention.
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Deliver compelling storytelling and actionable insights that shape strategy.
-
Help define what great data culture looks like across the business.
What We’re Looking For
-
Advanced SQL skills.
-
Proven experience in product and customer analytics – experimentation, churn/LTV/retention analysis.
-
Background in subscription-based, marketplace or tech-driven environments.
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Confident communicator and self-starter, able to influence non-technical stakeholders.
-
Experience with tools like Mode, Amplitude, DBT, Python or R is beneficial (not essential).
Why Apply?
-
Equity with upcoming exit – real potential for payout in 1-2 years.
-
Fully remote with a collaborative, friendly, pet-loving culture.
-
Fast-growing environment with opportunities for personal and career growth.
-
Be part of a team that’s building something meaningful and global.
Interview process:
-
Stage 1: 30-min intro with hiring manager
-
Stage 2: Case study + short live SQL exercise
-
(Optional) Stage 3: Meet the wider team
Find out more and apply via the link below.
To Apply for this Job Click Here
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