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Digital Data Analyst – Up to £45,000
Burton Upon Trent – Hybrid (1-2 days per week in office)

A growing analytics team is hiring a Digital Data Analyst to optimize web performance, track user behavior, and provide real-time insights across 80+ websites. This is a hands-on role, working with SQL, GA4, Looker, Power BI, and Excel to assess data quality, debug tracking issues, and generate reports that drive key business decisions.

The Company

A well-established brand in the hospitality sector, operating over 2,600 pubs, restaurants, and hotels across the UK. Their digital analytics function is expanding to enhance website performance, customer journeys, and marketing effectiveness.

The analytics team is structured into four key areas:

• Digital – Website and app reporting, deep-dive analysis, and future planning
• CRM – Customer database management, campaign analysis, and reporting
• Loyalty & Customer Insights – Understanding and segmenting customer behavior
• Data Science & Engineering – Supporting analytics efforts and proving business value

The Role

As a Digital Data Analyst, you will be responsible for website performance analytics, ensuring high-quality data reporting and debugging tracking issues. You will provide valuable insights that enhance the customer experience and improve conversion rates.

Key Responsibilities:

• Ensure data quality and debug tracking issues for web analytics tools such as GA4, Looker, and Power BI
• Extract, assess, and report on website data, delivering actionable insights
• Work with SQL to manipulate and analyze datasets
• Build automated dashboards and reports to track website performance
• Support conversion rate optimization (CRO) initiatives by identifying drop-off points in customer journeys
• Work with marketing and product teams to optimize digital campaigns and user experiences

Your Skills and Experience

The ideal candidate is a web analytics professional with strong technical expertise and the ability to turn data into insights.

Essential:

• Strong SQL skills with experience in extracting and transforming web data
• Experience with GA4 (Google Analytics), Looker, and Power BI
• Understanding of website tracking, tag debugging, and data validation
• Proficiency in Excel for manual reporting where necessary
• Ability to interpret data trends and make recommendations

Nice to Have:

• Experience with Microsoft Clarity
• Knowledge of CRO and website optimization strategies
• Background in Adobe Analytics (not required but beneficial)

The Benefits

• Salary up to £45,000
• Hybrid working with 1-2 days per week in Burton Upon Trent
• Exposure to a high-growth analytics function
• Collaboration with Data Science, CRM, and Marketing teams
• Strong career progression opportunities

How to Apply

Please register your interest by sending your CV to Mohammed Buhariwala at Harnham via the Apply link on this page.

Key Terms

Digital Analyst, Web Analytics, SQL, GA4, Google Analytics, Looker, Power BI, Microsoft Clarity, Data Visualization, CRO, Dashboarding, Reporting, Data Science, Customer Insights, Tag Debugging, Conversion Rate Optimization, Hospitality Analytics, Burton Upon Trent, Hybrid Work.

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SENIOR DATA PLATFORM ENGINEER

£75,000-£80,000 + BENEFITS

PIMARILY REMOTE

An opportunity to join a popular telecoms company expanding into new markets!

THE COMPANY:

Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Data Platform Engineer to help with enabling real time data processing.

THE ROLE:

A remote working Senior Data Platform Engineer will need to:

• Scale real-time data processing for analytics and automation
• Enhance experimentation frameworks
• Optimise the Martech data ecosystem

YOUR SKILLS AND EXPERIENCE:

A successful Senior Data Platform Engineer will have the following skills and experience:

• Ability and experience interacting with key stakeholder
• Java experience for microservicing
• Streaming experience e.g. Kafka, Kinesis, Flink
• Cloud experience – AWS, Azure, GCP

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £75,000-80,000 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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SENIOR CREDIT RISK MANAGER

£90,000

LONDON

THE COMPANY

This is an exciting opportunity with a leading UK FinTech that focus on harnessing data to enhance their lending decisions. This business have been growing in recent years and are now in an excellent position. This role offers the chance to work closely with the data science team to drive impact across their lending strategies and broader business profitability.

THE ROLE

• Analysing trends in lending portfolios to drive insight and enhance business performance
• Monitor and adjust lending strategies across the customer lifecycle to enhance profitability and decisioning
• Collaborating with the data science team to drive model performance and implementation of innovative machine learning models
• Leading the incorporation of new data sources to enhance and improve decisioning

YOUR SKILLS AND EXPERIENCE

• Previous experience in and knowledge of SQL and Python is essential
• Experience in developing lending strategies in a consumer lending environment
• Experience monitoring a lending portfolio and customer trends
• STEM degree from a Russell Group University

SALARY AND BENEFITS

• Base salary of up to £90,000
• Hybrid work model
• Company equity
• Broader company benefits including international trips

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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DATA ENGINEER SENIOR – PARIS

UP TO 65K€ FIXE + 10% Variable + Bonus

2 jours de télétravail

Une entreprise startup qui développe un logiciel d’IA innovant recherche un profil data engineer. Si tu as un très bon niveau en mathématiques et que tu as déjà fait de la data retrieval, alors cette offre est faite pour toi !

LE POSTE

Rattaché au Head of engineering, tu rejoindras l’équipe data engineering composée de 3 personnes. En tant que Senior Data Engineer, ton rôle sera de participer au développement de plusieurs projets et de t’assurer de leur bon fonctionnement. Vos missions au quotidien :

• Création de tâches ETL pour rendre les données disponibles pour les autres équipes (exemple des données provenant d’API)
• Contribution au développement d’un reverse ETL pour le téléchargement des modèles
• Création d’API et de bibliothèques pour faciliter la communication entre les équipes

VOTRE PROFIL

• Bac+5 top 10 école d’ingénieur (une spécialisation en MVA est fortement appréciée)
• Minimum 2 ans d’expérience en tant que Data engineer
• Connaissances avancées d’un ou plusieurs langages de programmation
• Maîtrise de SQL et Python
• Capacité à programmer de manière simple et concise
• Très bon niveau d’anglais requis

POUR POSTULER

Merci de joindre votre cv à jour et nous reviendrons vers vous rapidement.

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Fraud Strategy & Analytics Manager

Up to £100,000

Hybrid (3 days a week in office)

London

Company:

One of our fintech clients is on the lookout for a top Fraud Strategy Manager to join their fraud analytics function to work on developing fraud strategies, rules, and providing insights for senior stakeholders both internally and externally using tools like SQL and Python.

Responsibilities:

As a Fraud Strategy Manager, you will be responsible for:

• Crafting and implementing effective fraud strategies to mitigate risks and protect the bank and its customers
• Utilizing SQL and Python to identify fraud patterns, develop predictive models, and develop fraud rules
• Working with senior stakeholders to push for policies to be put in place to prevent fraud
• Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
• Making sure that every strategy is in line with regulatory requirements and industry best practices.

Key Requirements:

• Strong experience in developing comprehensive fraud strategies and rules
• Proficiency in SQL and Python
• In-depth knowledge of fraud from a regulatory standpoint
• Experience working with multiple different vendors.
• Previous experience working for a fast-paced business/fintech
• STEM Degree from a top university

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Head of Data Science

Up to £140,000

London

Hybrid

I am currently hiring for a top consumer lending fintech based in London. They are looking to bring in a top leader in data science function to come into the business and spearhead the Fraud, Credit Risk, and Customer Analytics modelling for the business to support rapid growth.

The Role:

• Developing new models for Credit risk decisioning/developing scorecard models using SQL, Python, and Snowflake
• Developing models for fraud prevention and models for customer analytics
• Working with senior stakeholders across different areas of the business being able to manage both down and up
• Setting out the data science and modelling roadmap for the business
• Improving efficiency with the development of automation across the business.

Your Skills & Experience:

• Experience with Unsecured consumer lending
• Strong experience using SQL and python across your career.
• Experience owning and developing credit risk models
• Experience developing scorecards and decision models
• STEM Degree from a top University

Salary – Up to £140,000

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Credit Risk Data Scientist

London

Hybrid

Up to £80,000

The Company

I am hiring for a lending fintech based in London who are looking to bring in a Credit Risk Data Scientist to build decision scorecards across the credit risk customer lifecycle.

The Role

What you will do as a Credit Risk Data Scientist:

• Developing scorecards across the credit risk customer lifecycle
• Analyse large datasets to extract meaningful insights to drive model development.
• Developing models working with other functions for collections and acquisitions scorecards
• Communicating and presenting analysis and insights to senior stakeholders across the company
• Using Python daily to develop credit risk models and improve the credit risk scorecard models across the customer lifecycle.

Requirements:

What you need to be successful as a Credit Risk Data Scientist:

• Strong experience working within credit risk models.
• Experience at a fintech/fast-paced company
• Experience developing credit risk scorecards end-to-end.
• Strong experience developing credit models end-to-end.
• Strong experience using Python to develop models.
• Numeric degree from a top university.

Benefits

Up to £80,000 + competitive bonus and benefits

HOW TO APPLY

Please register your interest by sending your CV to Sean Tunley via

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Lead Credit Risk Analyst

Up to £60,000

Hybrid

Birmingham

The Company

I am hiring a Lead Credit Risk analyst for lending business that leads the way on all types of unsecured lending for a large consumer base across the UK. Within this role you will help drive credit risk strategy using analytics to drive companywide profitability.

The Role

As a Lead Credit Risk Analyst, you will be:

• Reporting on credit risk insights and trends to senior stakeholders
• Using analytics skills to improve credit risk strategies
• Helping manage the credit risk customer lifecycle
• Spotting trends to find new ways to increase profitability for credit risk
• Developing new credit risk strategies across the business for acquisitions and existing customers.
• Working with and presenting to senior stakeholders daily within the role.

Your skills and experience:

To be successful as a Lead Credit Risk Analyst, you will need:

• Strong experience with SAS and/or SQL
• Experience as a credit risk analyst in an analytical position
• Experience developing credit risk strategy.
• Experience working in financial services
• Excellent communication skills
• Strong stakeholder management
• STEM Degree from a top university

Benefits

Up to £60,000 + benefits package

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Fraud Strategy & Analytics Consultant

Up to £65,000

Hybrid

London

Company:

One of our Consulting clients are on the lookout for a highly skilled Fraud Strategy & Analytics Consultant to join their fraud function working closely with clients developing strategies and providing insights.

Responsibilities:

As a Fraud Strategy & Analytics Consultant, you will be responsible for:

• Developing and implementing effective fraud strategies to mitigate risks and protect different clients and customers
• Utilizing SQL, Python, and Power BI to analyze data, identify fraud patterns, and develop predictive models.
• Managing and mitigating various types of fraud, including scams, APP fraud, and third-party fraud.
• Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
• Leveraging your experience in the UK banking sector to align strategies with regulatory requirements and industry best practices.

Key Requirements:

• Extensive experience in developing comprehensive fraud strategies.
• Strong experience with analysis of large customer data sets.
• Proficiency in SQL, Python, and Power BI.
• In-depth knowledge of scams, Authorized Push Payment (APP) fraud, and third-party fraud.
• Experience working with different vendors.
• Previous experience working for a UK bank.

Salary: Up to £65,000 Per Year + Strong Benefits Package

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Senior Insurance Pricing Analyst

London

Hybrid (1 day week in office)

Up to £60,000

Company:

I am hiring for a leading insurance company at the forefront of the industry, committed to its valued customers. They have a consumer market presence across the UK with huge investment and planned growth over the next couple of years. You will be coming in as a Senior Pricing Analyst to drive business profitability and support growth moving forward.

The Role:

• Building pricing models, using statistical techniques in pricing
• Conducting data analysis and reporting to evaluate pricing performance and identify opportunities for optimization.
• Developing and implementing pricing strategies
• Utilizing your strong communication skills to present complex pricing concepts and strategies to senior stakeholders across the business
• Optimisation and testing pricing models to increase efficiency for the business

Experience Required:

• Experience in pricing analytics within the insurance industry.
• Experience developing pricing models using Python.
• Proven experience in building pricing models using statistical techniques
• Excellent communication and interpersonal skills
• Experience working with senior stakeholders and helping to implement pricing strategy
• STEM Degree

Benefits

Up to £60,000 + competitive benefits package

To Apply for this Job Click Here

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Head of Data Science (Credit Risk & Fraud)

Up to £140,000

London

Hybrid

I am currently hiring for a top consumer lending fintech based in London. They are looking to bring in a top leader in data science function to come into the business and spearhead the Fraud, Credit Risk, and Customer Analytics modelling for the business to support rapid growth.

The Role:

• Developing new models for Credit risk decisioning/developing scorecard models using SQL, Python, and Snowflake
• Developing models for fraud prevention and models for customer analytics
• Working with senior stakeholders across different areas of the business being able to manage both down and up
• Setting out the data science and modeling roadmap for the business
• Improving efficiency with the development of automation across the business.
• Cross-collaborating with other functions across the business to increase efficiency and revenue

Your Skills & Experience:

• Experience with Unsecured consumer lending
• Strong experience using SQL and python across your career.
• Experience owning and developing credit risk models
• Experience developing scorecards and decision models
• STEM Degree from a top University

Salary – Up to £140,000

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LEAD CREDIT RISK DATA SCIENTIST

LONDON

UP TO £140,000

If you love building models more than managing people, and you’re excited by the idea of shaping the future of motor financing-this one’s for you. You will be joining as an individual contributor, owning the Data Science function!

THE ROLE

• Build, validate, and deploy credit risk, fraud, collections models
• Analyse portfolio performance and monitor key risk indicators
• Collaborate with data engineers to productionise and maintain model pipelines
• Ensure compliance with relevant regulations and support model governance processes
• Communicate insights clearly to technical and non-technical stakeholders

REQUIREMENTS

• credit risk modeling/ data science role, ideally in fintech, banking, or consumer lending
• Strong Python and SQL skills (Pandas, Scikit-learn, etc.)
• Solid understanding of credit risk modelling, statistical methods

HOW TO APPLY

Please apply below…

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