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Digital Designer – Contract
Retail Brand
£225-£245 per day – Outside IR35

1 day per week in London office preferred

We’re working with a high street retailer who are looking to bring in a Digital Designer to support their in-house team on a 4-month contract basis. This is a BAU focused role, covering homepage, app and email design.

Role and responsibilities

• Contribute to creative discussions and help refine visual output where needed

• Collaborate with internal creative and marketing teams to maintain brand consistency

• Work within existing brand guidelines to create engaging digital content

• Design and deliver assets for homepage, mobile app, and email marketing

• Support day-to-day BAU digital design activity across key customer touchpoints

• Manage multiple briefs and deadlines in a fast-paced environment

Skills and Experience

• Strong visual design skills and an eye for layout, typography, and detail

• Proficiency in Adobe Creative Suite (Photoshop, Illustrator, etc.)

• Experience designing for web, mobile apps, and email

• Proven experience as a Digital Designer, ideally within retail or eCommerce

• Comfortable working independently and managing competing priorities

• Figma experience is not required

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Data Science Manager (Contract)

£500-£600/day | ⏳ 3 months (IR35 TBC) | 2 days/week in office

About the role
Our client is looking for a hands-on Data Science Manager to take full ownership of their pricing optimisation function. This is a 3-month contract leading a small international team, focused on refining and deploying pricing models that directly impact trading performance across multiple markets.

You’ll be managing everything from strategy to code, balancing high-level pricing approaches with deep technical involvement in building, testing, and improving algorithms.

Key responsibilities:

• Own the end-to-end pricing product: develop, improve, and deploy pricing models tailored to market and product dynamics

• Drive experimentation and A/B testing to validate pricing strategies

• Collaborate closely with commercial teams to ensure models align with trading goals

• Work with data engineering teams to maintain robust pipelines and smooth deployments

Tech stack:

• Python (must-have)

• GCP

• Tableau

About you:

• Background in pricing optimisation.

• Comfortable leading a team but still very hands-on – coding, analysing, and iterating

• Excellent communicator who can simplify technical work for commercial stakeholders

• Past titles likely include Lead Data Scientist, Head of Data Science, or similar

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Full Stack AI Engineer/ Computer Vision Engineer
Initial 4-5 month contract
£500 a day – Outside IR35

Key Skills:

• 3D meshing
• creating segmentation maps
• LLMs – prompt engineering, some RAG and live engineering for meeting insight from text
• Rotating in the 3D world

Nice to have:

• Working with YOLO models
• Experience working with immersive virtual events
• Segmentation map

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Digital Designer – Contract
Retail Brand
£225-£245 per day – Outside IR35
Remote (1 day per week in London office preferred)

We’re working with a high street retailer who are looking to bring in a Digital Designer to support their in-house team on a 4-month contract basis.

This is a BAU focused role, covering homepage, app and email design. You’ll be stepping in to help manage the day-to-day creative output, working closely with their internal teams to ensure high-quality digital design delivery.

Role & Responsibilities:

• Support day-to-day BAU digital design activity across key customer touchpoints
• Design and deliver assets for homepage, mobile app, and email marketing
• Collaborate with internal creative and marketing teams to maintain brand consistency
• Work within existing brand guidelines to create engaging digital content
• Manage multiple briefs and deadlines in a fast-paced environment
• Contribute to creative discussions and help refine visual output where needed

Skills & Experience:

• Proven experience as a Digital Designer, ideally within retail or eCommerce
• Proficiency in Adobe Creative Suite (Photoshop, Illustrator, etc.)
• Experience designing for web, mobile apps, and email
• Strong visual design skills and an eye for layout, typography, and detail
• Comfortable working independently and managing competing priorities
• Figma experience is not required

Benefits

£225-£245 per day outside IR35, 4 month contract, London (hybrid)

How to Apply

Register your interest by sending your CV to Lloyd Dunstall via the Apply link on this page

Digital Designer / Digital Design / Adobe Creative Suite / Visual Design

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Digital Designer – Contract – £200/day Outside IR35

Duration: 4 Months
Location: East London (1 day a week onsite, rest remote)
Rate: £200/day (Outside IR35)
Start Date: ASAP

We’re looking for a Digital Designer to support a well-known business on a 4-month contract. You’ll play a key role in the design and delivery of engaging web and app interfaces and email marketing assets, working closely with product and marketing teams.

Key Responsibilities:

• Create user-friendly, visually appealing designs for web apps

• Design responsive, branded email templates

• Collaborate with developers and stakeholders to ensure design consistency

• Maintain brand standards across all digital output

✅ What We’re Looking For:

• Strong experience in digital design, particularly for web and email

• Proficiency with Adobe Creative Suite (Photoshop, Illustrator, XD etc.)

• A solid portfolio showcasing UX/UI and email design work

• Comfortable working independently and to tight deadlines

• Ability to commute to East London once a week

This is a great opportunity to work with a recognisable brand on exciting digital projects, with flexibility and autonomy built in.

Please reach out to Grace McCrudden at Harnham for more information

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Digital Merchandising Executive – Contract
Healthcare Brand
Leeds – Hybrid
£100-£125 per day – Outside IR35

A leading healthcare provider is seeking a Digital Merchandising Executive to join their expanding ecommerce team on a contract basis. As a pioneer in the digital healthcare space, this organisation supports over a million patients nationwide.

You’ll be a key part of the digital trading team, supporting ecommerce activity across several consumer brands and digital healthcare platforms. This is a fast-paced, data-driven environment where your input will directly influence commercial outcomes and customer experience.

Role & Responsibilities:

• Support merchandising across multiple online platforms
• List new products and ensure timely delivery of product launches, promotions, and supplier campaigns
• Optimise product pages with SEO-focused copy and engaging imagery in line with brand guidelines
• Test and validate pricing, promotional codes, and product data for accuracy and consistency
• Merchandising content across homepages and category pages aligned with marketing calendars
• Collaborate with trading and marketing teams to ensure promotional and product priorities are reflected on site
• Maintain product categorisation and taxonomy to ensure seamless user navigation
• Report on ecommerce KPIs, search behaviour, and content effectiveness to guide decision-making
• Benchmark competitors to identify opportunities in pricing, range, and merchandising tactics
• Support the adoption of tools and tech (including AI) to enhance ecommerce processes and customer journeys

Skills & Experience:

• Experience in digital merchandising, ecommerce, or digital marketing
• Strong commercial mindset, with the ability to balance creativity and data-led decision-making
• Confident with ecommerce platforms and CMS tools
• Excellent attention to detail and written communication
• Comfortable working both autonomously and collaboratively across teams
• Proactive and adaptable with a continuous improvement mindset

Benefits

£100-£125 per day outside IR35, 3 month contract, Leeds (hybrid)

How to Apply

Register your interest by sending your CV to Lloyd Dunstall via the Apply link on this page

Digital Merchandising Executive / Digital / Merchandising / Healthcare / Online

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Job Opportunity: Marketing & Data Science – Measurement & Modelling

Location: Hybrid (2 days per week in office for first month, flexible after)
Duration: 3 months initially
Rate: £450-480/day (Outside IR35)
Commute: 2 hours by train from Central London

Role Overview:
This role focuses on marketing effectiveness and data science in the retail industry, with a strong emphasis on email campaign measurement, incremental value, and experimentation. The main responsibilities include finalising the Marketing Mix Modelling (MMM) framework, completing the A/B testing framework, and automating marketing analytics processes. The ideal candidate will have experience in causal inference, MMM, and experimentation.

Key Responsibilities:

• Finalising the MMM framework and modelling (70% complete)

• Building out the A/B testing framework

• Automating marketing analytics processes, particularly around experimentation

• Handling complex data and working with incomplete data

• Measuring campaign impact and refining marketing strategies

Tech Stack:

• Core: Databricks, SQL, Python, PySpark

• Nice to Have: R, dashboarding tools

Ideal Candidate:

• 4-5 years of commercial experience in data science, preferably in an eCommerce or marketing analytics environment

• Proven experience in causal inference, MMM, and experimentation

• Strong communication skills and the ability to explain data-driven insights

Interview Process:

• Stage 1: Technical assessment

• Stage 2: Knowledge-based interview

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Job Title
Specialist Retail Customer Analyst

Logistics

• Contract length: 6 months

• Day rate: £400-£450 (Outside IR35)

• Location: Hybrid-2 days/week in London office

• Start date: Flexible (within the next month)

The Context

You’ll embed within a leading retail/FMCG organisation that treats consumer insight as its competitive edge. Your analyses will shape loyalty programmes, promotional strategies and product assortments to maximise retention, basket size and lifetime value.

Role Overview
As a Specialist Retail Customer Analyst, you’ll own end-to-end customer analytics: extracting and modelling sales and behavioural data, building dashboards and presenting actionable consumer insights to cross-functional teams.

Key Responsibilities

• Develop customer segmentation, CLV and propensity models to inform targeting and promotions

• Design and evaluate A/B tests and multivariate experiments on pricing, merchandising and UX

• Build automated ETL pipelines and maintain real-time dashboards (Tableau/Power BI) for sales, churn and engagement metrics

• Translate complex analyses into clear recommendations for marketing, e-commerce and executive stakeholders

• Partner with data engineering and commercial teams to operationalise insights

Must-Haves

• 3+ years’ customer-insights or analytics experience in retail/FMCG

• Bachelor’s or Master’s in a quantitative discipline (e.g., Economics, Statistics, Data Science)

• Expert SQL skills and proficiency in Python or R for statistical modelling

• Hands-on dashboarding experience with Tableau or Power BI

• Demonstrable experience designing and analysing A/B tests

• Strong storytelling and stakeholder-management skills

• Full UK work authorization

Desirable

• Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow)

• Experience with loyalty-programme analytics or CRM platforms

• Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring

Technical Toolbox

• Data & modeling: SQL, Python/R, pandas, scikit-learn

• Dashboarding: Tableau or Power BI

• ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery

• Experimentation: A/B testing platforms (Optimizely, VWO)

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Job Title
Predictive Price Modelling DS

Logistics

• Contract length: 6 months

• Day rate: £500-£550 (Outside IR35)

• Location: Hybrid-2 days/week in London office

Client Context
Work with top-tier retailers and e-commerce brands that demand scientifically rigorous pricing strategies. Your models will directly inform multi-million-pound margin and revenue decisions.

Role Overview
As a Price Modelling Specialist, you’ll lead the design, development and deployment of predictive pricing and elasticity models. You’ll translate data into dynamic pricing rules that maximise revenue, test their impact in-market, and package insights for commercial leaders.

Key Responsibilities

• Develop and maintain price-elasticity, demand-forecasting and revenue-optimisation models in Python

• Design, execute and analyse A/B tests and quasi-experimental frameworks to validate pricing strategies

• Build automated pipelines to refresh price recommendations in near real-time

• Integrate model outputs into BI dashboards and reporting workflows

• Present clear, actionable pricing insights to commercial and executive stakeholders

Must-Haves

• Master’s in Statistics, Econometrics, Data Science or related quantitative field

• Expert in Python (pandas, scikit-learn) and advanced SQL for large-scale data manipulation

• Proven track record running A/B tests or causal analyses on pricing levers

• Excellent communication-able to explain complex models to non-technical audiences

• Full UK work authorisation

Desirable

• Familiarity with production ML workflows (version control, CI/CD)

• Background in retail or e-commerce pricing platforms

Technical Toolbox

• Modelling & data: Python, SQL

• Experimentation: A/B testing frameworks

• Containerisation: Docker

• BI & warehousing: Snowflake (or equivalent), Tableau/Power BI

• Cloud: AWS, GCP or Azure

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Job Title
Senior Causal Inference Data Scientist

Logistics

• Contract length: 3 months (immediate start)

• Day rate: £500-£550 (Outside IR35)

• Location: Hybrid-2 days/week in London office

• Interview process: 2-3 stages (including case study & stakeholder presentation)

Client Context
You’ll help blue-chip clients optimise multi-million-pound marketing budgets by blending cutting-edge causal-inference techniques with crystal-clear stakeholder communication.

What You’ll Do

• Design and implement causal-inference frameworks (quasi-experimental, synthetic control) to quantify marketing uplift and ROI

• Build predictive and optimisation models to guide budget allocation across channels

• Translate complex statistical findings into concise presentations and dashboards for senior non-technical stakeholders

• Partner with marketing, data engineering and product teams to integrate models into live reporting pipelines

Must-Haves

• Master’s degree in Statistics, Econometrics, Data Science or related quantitative field

• Hands-on experience with causal-inference methods, including synthetic control techniques

• Deep conceptual understanding of statistical theory

• Excellent verbal and written communication-comfortable presenting to C-suite

• Demonstrable stakeholder engagement (beyond backend coding)

• Right to work in the UK

Desirable

• 3+ years’ experience in data-driven marketing, analytics consultancy or similar

• Familiarity with quasi-experimental designs and A/B testing frameworks

• Background in software design, data structures or production-grade ML engineering

Technical Toolbox

• Modelling & data: Python or R, SQL

• Containerisation: Docker

• Cloud platforms: AWS, GCP or Azure

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Digital Merchendising Executive – Contract Opportunity
Leeds (2-3 days per week on-site)
£150-£200 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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AI Engineer

12-Month contract

$90-$100/Hr

Fully Remote – EST Hours

In this position, you’ll develop, design, and deploy LLMs and conversational AI models for an IoT-enabled device.

Responsibilities:

• Design and implement function calling within conversational AI models, enabling seamless interactions between users and IoT devices.
• Deploy AI models and agents into production and scale them into robust, user-facing products.
• Train, fine-tune, and deploy LLM’s into production settings
• Optimize and scale machine learning algorithms to handle large volumes of data efficiently.
• Utilize knowledge graph systems and Retrieval-Augmented Generation (RAG) to create efficient, real-time support agents leveraging technical documentation.
• Integrate data from IoT devices and external sources to deliver intelligent, context-aware responses.
• Contribute to the full DevOps lifecycle, including containerization, CI/CD pipelines, and scaling solutions for deployment.
• Develop and fine-tune LLMs and NLP models that enhance interactions with IoT systems, focusing on domain-specific tasks such as technical support, product monitoring, and customer engagement.

Qualifications:

• Expertise in designing and implementing function calling within conversational AI models for seamless user-IoT device interactions.
• Up to 3 years of AI development experience, bringing a fresh perspective and a passion for innovative product creation.
• Proven experience deploying AI models and agents into production and scaling them into robust, user-facing products.
• Practical knowledge of DevOps, including containerization (Docker, Kubernetes) and CI/CD workflows for efficient deployment.
• Experience with LLMs (e.g., GPT-4, Whisper), including training, fine-tuning, and application in production settings.
• Experience with contemporary AI and NLP libraries and frameworks (e.g., LangChain, LangGraph, Azure Speech-to-Text).
• Comfortable working with cloud platforms (e.g., AWS, Azure)

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