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DATA SCIENTIST (FORECASTING)

£70,000 + BENEFITS

PRIMARILY REMOTE

If you’re are a highly educated individual (MSc, PhD) looking to work on meaningful data science problems in a remote, research-led environment, this could be a great fit.

THE COMPANY:

I’m working on a fantastic opportunity with a fast-growing SaaS company that’s transforming how the hospitality sector approaches pricing and forecasting. The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases.

THE ROLE:

You’d join a high-calibre team in a full-stack data science role where you’ll build and deploy models end-to-end, owning projects from experimentation to production. A Data Scientist (forecasting) will need to:

• Building and deploying ML models (Python, Pandas, GCP)
• Forecasting revenue
• Exploring clustering techniques
• Applying NLP to classify ancillary bookings
• Collaborating with a small, high-calibre team of PhD-level Data Scientists, Engineers, and wider product team

YOUR SKILLS AND EXPERIENCE:

A successful Data Scientist will have the following skills and experience:

• MSc or PhD level of education
• Strong Python skills and experience with Pandas
• Cloud experience e.g. GCP
• A solid foundation in Statistics and ML.
• Experience with forecasting

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £70,000 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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RISK DATA SCIENTIST (ESG & Supply Chain)

£70,000 + BENEFITS

PRIMARILY REMOTE

Make a real-world impact in an industry that needs smarter, more sustainable solutions. This role would suit someone who enjoys end-to-end ownership, communicating with non-technical stakeholders, and building models from scratch using Python and SQL.

THE COMPANY:

I’m working with construction tech company that’s making a real impact in ESG, supply chain risk, and sustainability. This is a hands-on, high-impact role where you’d work closely with a small, collaborative product team-shaping how financial, ESG, and supply chain data is turned into actionable insights.

THE ROLE:

This client are hiring a Risk Data Scientist to take full ownership of modelling efforts across their core risk platform.

A Data Scientist (Risk) will need to:

• Take end-to-end ownership of risk modelling across financial, ESG, and supply chain data
• Design and implement models from scratch using Python and SQL
• Collaborate closely with the cross-functional product team
• Contribute to GenAI-powered reporting tools

YOUR SKILLS AND EXPERIENCE:

A successful Data Scientist will have the following skills and experience:

• Solid experience in risk modelling
• Strong Python and SQL skills
• A solid foundation in Statistics and ML.
• Experience with end to end product ownership

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £70,000 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

To Apply for this Job Click Here

Senior Analytics Manager – REMOTE

FINANCIAL SERVICES EXPERIENCE REQUIRED – FCA

We’re working with a fast-growing, customer-focused lender providing flexible short-term financial solutions to underserved markets. As they scale, they are seeking a Senior Analytics Manager to lead advanced analytics initiatives and embed a data-driven culture across the business.

About the Role
You’ll play a key role in shaping the data and analytics strategy, delivering insights that drive smarter decisions across credit risk, marketing, digital, and operations. Partnering with senior leaders, you’ll turn complex data into clear, commercial outcomes.

What You’ll Do

• Lead analytics projects across key business areas
• Build models and tools to solve real-world problems
• Communicate insights to non-technical and senior stakeholders
• Champion data quality, governance, and regulatory compliance
• Manage and mentor a small team of analysts

What We’re Looking For

• 10+ years in financial services, with leadership experience
• Strong technical skills (SQL, Python or R) and statistical modelling
• Deep understanding of working with large datasets
• Excellent communication and stakeholder management skills
• Familiarity with FCA regulations

To Apply for this Job Click Here

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The Company
A well-established digital platform with over a million active users across the UK, offering technology-led subscription services in a fast-scaling consumer market. Known for its innovation in healthcare and eCommerce, the business has seen rapid growth in recent years and is continuing to expand its analytics capabilities. The Customer Insight Analyst will play a key role in shaping customer and marketing strategies by translating behavioural data into commercial insight.

The Role
This is a hands-on role focusing on customer analytics, segmentation, and marketing performance. You’ll be responsible for building dashboards, analysing behavioural trends, and guiding strategic decisions across acquisition, retention, and customer lifetime value. The role suits an analyst who’s confident with SQL, data visualisation tools like Tableau, and who can bridge the gap between data and non-technical stakeholders.

Key Responsibilities

• Deliver insight to support acquisition, retention, and growth strategies

• Build and maintain a scalable Single Customer View (SCV) combining CRM, transaction, and engagement data

• Develop segmentation models based on lifecycle stage, engagement, and behaviour

• Analyse campaign performance and customer trends to optimise marketing strategy

• Create dashboards and reports in Tableau to communicate insights clearly to stakeholders

• Work closely with marketing, commercial, and data teams to drive cross-functional action

• Ensure high standards of data quality, governance, and compliance

• Stay updated on trends in customer analytics, eCommerce, and digital health

Skills & Experience

Essential:

• Strong SQL skills for data extraction and manipulation

• Experience using Tableau or a similar data visualisation tool

• Proven track record in customer analytics or marketing insight roles

• Ability to communicate insights clearly to non-technical stakeholders

• Experience with campaign analysis, customer segmentation, and lifetime value modelling

• Commercial mindset with a focus on growth and retention

Desirable:

• Experience with GA4, BigQuery, or other advanced analytics tools

• Familiarity with churn, retention, or cross-sell modelling

• Background in healthcare, eCommerce, or subscription-based businesses

• Exposure to scripting languages such as Python

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Customer Insights Analyst
Up to £45,000 + bonus
Hybrid – Leeds (1x day a week)

THE CLIENT
This is an exciting opportunity for a Customer Insight Analyst to join an industry-leading ecommerce organisation.

THE ROLE
We are seeking a skilled Customer Data Analyst to deliver actionable insights that drive effective customer acquisition, retention, and growth strategies. In this role, you will design and maintain a scalable Single Customer View (SCV) by integrating CRM, transaction, and engagement data. You will also develop segmentation models based on customer lifecycle stages, engagement intensity, and behavioral patterns to help tailor our marketing and customer experience initiatives.

YOUR SKILLS
SQL
Data Visualisation

NICE TO HAVE SKILLS
Python
Google Analytics
Retail and Pharmacracy

APPLY
Send an email or apply below to register your interest

To Apply for this Job Click Here

To Apply for this Job Click Here

Customer Insight Analyst
Location: Leeds (Hybrid – 1 day per week in office)
Salary: Up to £45,000 (depending on experience)

The Company
A well-established digital platform with over a million active users across the UK, offering technology-led subscription services in a fast-scaling consumer market. Known for its innovation in healthcare and eCommerce, the business has seen rapid growth in recent years and is continuing to expand its analytics capabilities. The Customer Insight Analyst will play a key role in shaping customer and marketing strategies by translating behavioural data into commercial insight.

The Role
This is a hands-on role focusing on customer analytics, segmentation, and marketing performance. You’ll be responsible for building dashboards, analysing behavioural trends, and guiding strategic decisions across acquisition, retention, and customer lifetime value. The role suits an analyst who’s confident with SQL, data visualisation tools like Tableau, and who can bridge the gap between data and non-technical stakeholders.

Key Responsibilities

• Deliver insight to support acquisition, retention, and growth strategies

• Build and maintain a scalable Single Customer View (SCV) combining CRM, transaction, and engagement data

• Develop segmentation models based on lifecycle stage, engagement, and behaviour

• Analyse campaign performance and customer trends to optimise marketing strategy

• Create dashboards and reports in Tableau to communicate insights clearly to stakeholders

• Work closely with marketing, commercial, and data teams to drive cross-functional action

• Ensure high standards of data quality, governance, and compliance

• Stay updated on trends in customer analytics, eCommerce, and digital health

Skills & Experience

Essential:

• Strong SQL skills for data extraction and manipulation

• Experience using Tableau or a similar data visualisation tool

• Proven track record in customer analytics or marketing insight roles

• Ability to communicate insights clearly to non-technical stakeholders

• Experience with campaign analysis, customer segmentation, and lifetime value modelling

• Commercial mindset with a focus on growth and retention

Desirable:

• Experience with GA4, BigQuery, or other advanced analytics tools

• Familiarity with churn, retention, or cross-sell modelling

• Background in healthcare, eCommerce, or subscription-based businesses

• Exposure to scripting languages such as Python

Interview Process
1st Stage: Introductory screen
2nd Stage: Task-based panel interview with senior stakeholders

How to Apply
Send your CV to Mohammed Buhariwala at Harnham or connect directly on LinkedIn to find out more.

Keywords
Customer Insight, SQL, Tableau, Marketing Analytics, Customer Segmentation, SCV, Acquisition, Retention, Churn, Lifetime Value, Behavioural Data, eCommerce, Subscription, Healthcare, CRM, Growth Strategy, Hybrid, Leeds.

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Lead Credit Risk Analyst – (Scorecards)

Up to £55,000

Hybrid

Leeds

The Company

I am hiring a Lead Credit Risk Analyst for one of the biggest UK banks focused on providing unsecured and secured lending to their customers. In this role you will leading the scorecard modelling credit cards and loans using SAS and SQL daily in the role.

The Role

As a Lead Credit Risk Analyst, you will be:

• Developing credit risk application and behavioural scorecard models
• Using analytics skills to improve credit risk strategies
• Monitoring the performance or the scorecard and the portfolio performance.
• Working with and presenting to senior stakeholders daily within the role.
• Using SAS to develop credit risk models daily.

Your skills and experience:

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

• Strong experience developing credit risk scorecards
• Experience as a credit risk using SAS or SQL daily for scorecard development
• Experience working in unsecured lending portfolios
• Experience working for a bank or in financial services
• Excellent communication skills

Benefits

Up to £55,000 + benefits package

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AI Product Manager

Overview

We’re looking for a hands-on AI Product Manager to drive the strategy and implementation of AI-powered tools and products within the business. You will focus on identifying opportunities for AI and automation to increase efficiency.

Responsibilities:

• Collaborate with cross-functional teams to develop and prioritise AI capabilites
• Identify opportunities across emerging AI tools and trends.
• Own and develop the AI product roadmap
• Manage budgets & timelines across projects

Experience:

• Experience in a product development or product ownership role
• Agency, Adtech or SaaS experience
• Strong understanding of AI and Machine Learning technologies
• Proficiency in Python & SQL

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Digital Merchendising Executive – Contract Opportunity
Leeds (2-3 days per week on-site)
£100 – 150 per day | Outside IR35
Immediate Start | 12-Week Contract | Potential to Go Permanent

We’re working with a forward-thinking retail and healthcare group looking for a proactive and detail-oriented Digital Merchendising Executive to support their digital trading and merchandising activity across multiple consumer websites.

You’ll play a key role in ensuring product listings are accurate, engaging, and optimised for both conversion and discoverability, while collaborating closely with trading and marketing teams to support ongoing campaigns.

Key Responsibilities

• List new products across multiple ecommerce sites, ensuring timely and accurate uploads to support marketing activity.

• Create compelling, SEO-friendly product content and ensure imagery meets brand standards.

• Manage product categorisation and site taxonomy for improved navigation and searchability.

• Merchandising homepage and category banners in line with seasonal and promotional activity.

• Test promotional codes and pricing to ensure smooth customer experiences across platforms.

• Collaborate cross-functionally to align on product priorities, promotions, and content strategy.

• Analyse performance of merchandising and personalisation tools to inform improvements.

• Support in compiling ecommerce performance reports and regular trading updates.

• Monitor competitor activity for pricing, range, and promotional benchmarking.

• Research and suggest digital tools and technologies (including AI) to improve processes and customer experience.

• Maintain up-to-date pricing and site content to ensure accuracy at all times.

About You

• At least 1 year of experience in digital marketing or ecommerce, or 2+ years in a similar role without a degree.

• Comfortable using ecommerce platforms or content management systems.

• Good understanding of merchandising fundamentals and ecommerce best practices.

• Confident using spreadsheets (Excel or Google Sheets) for data management.

• Experience working in a fast-paced, multi-site retail or digital environment.

• Self-starter with strong time management skills and the ability to handle multiple tasks.

• Analytical mindset with a willingness to learn and adapt to new tools and digital trends.

• Excellent communicator and collaborative team player.

This is an exciting opportunity for someone looking to make an immediate impact in a growing digital team. The role is part-time (2-3 days per week in Leeds) and offers the potential to go permanent for the right candidate.

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DATA QUALITY ANALYST

Up to £45,000 + BENEFITS

PRIMARILY REMOTE

Help shape the future of data at a pivotal moment for this company’s growth.

THE COMPANY:

This software company has a growing Data team, and are looking for a Data Quality Analyst to help take advantage of their recent migration which has enabled them complete control over their data. They are now scaling fast and need someone dedicated to ensuring data accuracy and integrity.

THE ROLE:

A Data Quality Analyst will need experience in:

• Data profiling: spotting inconsistencies
• Data cleansing & transformation: standardising data
• Validation
• Monitoring & reporting
• Documentation

YOUR SKILLS AND EXPERIENCE:

A successful Data Quality Analyst will have the following skills and experience:

• Strong experience with SQL/BigQuery
• Experience with Python for automation
• Background in Data Quality and Governance
• Data Visualisation – ideally in Tableau

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £45,000 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