CRM Developer
Leeds / £40000 - £45000 annum
INFO
£40000 - £45000
LOCATION
Leeds
Permanent
CRM Developer
Location: Hybrid (2x per month in Burton-on-Trent)
Salary: Up to £45,000
The Company
We're supporting a UK-wide retail and hospitality business scaling their in-house CRM capability. The brand is investing heavily in its data and CRM infrastructure, aiming to build high-performing campaigns that are accurate, responsive, and customer-focused.
The Role
This role is perfect for someone passionate about the deployment side of CRM campaigns. You'll join a centralised CRM team, taking ownership of campaign deployment, ensuring campaigns are executed accurately, at pace, and in alignment with data regulations and segmentation strategies.
Key Responsibilities
- Develop and maintain CRM campaigns using HTML, JavaScript, CSS, and Liquid.
- Ensure campaigns are deployed accurately and meet regional or business segmentation requirements.
- Work closely with wider CRM, marketing, and analytics teams.
- Troubleshoot and ensure correct data flows across systems.
- Collaborate with agency partners where necessary.
Skills & Experience
Essential:
- Strong HTML/CSS/JavaScript coding skills.
- Experience deploying CRM campaigns.
- Experience with CRM tools such as Braze, Salesforce, Adobe, or Bloomreach.
- Strong attention to detail and quality assurance.
Desirable:
- Exposure to Liquid coding (Braze specific).
- Background in retail or marketing agency environments.
- Understanding of campaign data flows and logic-based segmentation.
Benefits
- Up to £45,000 base salary
- Hybrid working model (2x per month in Burton-on-Trent)
- Opportunity to be part of a digital transformation within a major UK brand
- Supportive and collaborative CRM team environment
How to Apply
Interested? Send your CV to Mohammed Buhariwala at Harnham via the Apply link on this page.
Keywords
CRM Developer, HTML, CSS, JavaScript, Liquid, Braze, Salesforce, Adobe Campaign, Email Developer, Campaign Deployment, CRM Campaigns, Marketing Tech, Hybrid Role, CRM Technology, CRM Coding
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THE COMPANY:
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SENIOR DATA ENGINEER
£65,000-£70,000 + BENEFITS
PRIMARILY REMOTE
A leading company in the retail industry is seeking a proactive Data Engineer to join their innovative team.
THE COMPANY:
This is a well-established brand driven by an ambitious vision. They are currently investing in their data team, and are looking for a Data Engineer to help gather requirements and build solutions.
THE ROLE:
A Data Engineer will need to:
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YOUR SKILLS AND EXPERIENCE:
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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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Leeds
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+ Data Engineering
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To Apply for this Job Click Here
SENIOR DATA ENGINEER
£65,000-£70,000 + BENEFITS
PRIMARILY REMOTE
A leading company in the retail industry is seeking a proactive Data Engineer to join their innovative team.
THE COMPANY:
This is a well-established brand driven by an ambitious vision. They are currently investing in their data team, and are looking for a Data Engineer to help gather requirements and build solutions.
THE ROLE:
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- Experience with Azure/ADF
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THE BENEFITS:
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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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Responsibilities
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Strong coding skills with fast ML experimentation.
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Ph.D. in Computer Science or a related field, with a strong research track record in Machine Learning, Computer Vision, Robotics, or Graphics.
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Solid understanding of 3D projective geometry.
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In-depth experience with video and image generative diffusion models.
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City of London
£100000 - £120000
+ Data Engineering
PermanentCity of London, London
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PRINCIPAL SOFTWARE ENGINEER
CITY OF LONDON – 4/5 DAYS IN OFFICE
£100,000 – £120,000
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THE COMPANY:
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The ideal Principal Software Engineer will have:
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HOW TO APPLY:
Please register your interest by sending your CV via the Apply link on this page.
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London
£80000 - £100000
+ Risk Analytics
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To Apply for this Job Click Here
LEAD DATA SCIENTIST – CREDIT
£90,000
HYBRID – UK
This role does not offer sponsorship.
This is a fantastic opportunity to lead credit risk decisioning at a fast-growing fintech. You will be the go-to expert for credit strategy, owning model development and deployment, and helping shape the company’s lending performance.
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THE ROLE
You can expect to be involved in the following day-to-day:
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Lead the end-to-end lifecycle of credit and affordability models, from data sourcing to production monitoring.
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Own the development and execution of decisioning strategies, including champion/challenger experiments.
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Strong technical skills in Python (including libraries like scikit-learn, XGBoost, LightGBM).
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Experience working with transactional data and credit bureau sources.
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Familiarity with model monitoring and performance tracking frameworks.
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Proficient SQL skills for querying and data transformation.
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Bonus: experience with unsupervised learning techniques, alternative credit data, or working in a startup/scale-up setting.
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Competitive salary
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25 days holiday (+ bank holidays)
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Private health insurance
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5% pension match
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Hybrid working (UK-based)
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Please register your interest by submitting your CV via the Apply link on this page.
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Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.
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Senior Data Scientist
City of London
£350 - £450
+ Data Science & AI
ContractCity of London, London
To Apply for this Job Click Here
Senior Data Scientist
Location: Hybrid (London)
Type: Full-time
Startup: A fast-growing AI startup
We’re workan ambitious, early-stage startup building innovative AI solutions that help businesses unlock insights, automate processes, and drive smarter decisions. Backed by leading investors and fueled by a passion for solving real-world problems, we’re creating technology that makes AI accessible and impactful – and we want an experienced Senior Data Scientist to join our journey.
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Lead the design, development, and deployment of advanced data science models and solutions.
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Collaborate closely with cross-functional teams (engineering, product, design) to translate complex business challenges into data-driven strategies.
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Explore large datasets to uncover patterns, trends, and actionable insights.
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Develop prototypes and production-grade models for use cases such as predictive analytics, recommendation systems, and NLP applications.
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Mentor and guide junior data scientists and analysts.
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Stay up to date with the latest research, tools, and techniques in data science and machine learning.
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5+ years of experience in data science, machine learning, or a related field.
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Strong proficiency in Python (or R) and experience with ML frameworks like scikit-learn, TensorFlow, or PyTorch.
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Deep experience in building and deploying models at scale.
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Solid understanding of statistics, experimentation, and data storytelling.
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Experience working with cloud environments (AWS, GCP, or Azure).
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Ability to thrive in a startup environment – self-starter, adaptable, and collaborative.
Why Join Us?
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Competitive compensation, including meaningful equity.
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Remote-friendly with flexible working hours.
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Work on high-impact projects that apply AI to real-world problems.
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Learning budget for conferences, courses, and books.
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Supportive, innovative team culture that values curiosity and experimentation.
To Apply for this Job Click Here
Optimisation Data Analyst
London
£400 - £450
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior Data Analyst – Contract
Outside IR35 | £400-£450 per day | 3-month initial term | Hybrid London (2-3 days on-site)
What you’ll tackle
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Analyse client demand & respondent behaviour to spot revenue, margin and completion-rate gains.
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Build regression, clustering and causal models for pricing, yield and segmentation.
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Produce dashboards/BAU reports tracking incentive spend, survey health and profit drivers.
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Design & interpret A/B tests on incentives and matching logic; recommend refinements.
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Turn insights into pricing rules, contract tweaks and product changes alongside Commercial, Product and Engineering.
Tech toolkit
Python (pandas, NumPy, scikit-learn) · SQL · Azure (migration in flight) · BI (Power BI/Tableau useful).
Ideal background
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3-5 yrs (Minimum) analytics in trading, marketplace, media or e-commerce settings.
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Strong SQL and Python for big-data wrangling & modelling.
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Solid grasp of statistics, pricing or yield optimisation.
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Clear, concise communicator who can translate numbers into action.
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Curious mindset-happy to reverse-engineer legacy logic and propose smarter approaches.
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Pricing & Revenue Data Scientist
London
£400 - £500
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To Apply for this Job Click Here
Senior Data Scientist – Optimisation (Contract)
Outside IR35 | £400-450 per day | 3-month initial term | Hybrid London (2-3 days on-site)
The brief
A global marketing-data organisation is upgrading the engine that matches millions of survey invitations to the right respondents. Your task: treat the matching pipeline as a full-scale optimisation problem and raise both accuracy and yield.
Core responsibilities
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Model optimisation – refactor and improve existing matching/segmentation models; design objective functions that balance cost, speed and data quality.
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Experimentation – set up offline metrics and online A/B tests; analyse uplift and iterate quickly.
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Production delivery – build scalable pipelines in AWS SageMaker (moving to Azure ML); containerise code and hook into CI/CD.
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Monitoring & tuning – track drift, response quality and spend; implement automated retraining triggers.
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Collaboration – work with Data Engineering, Product and Ops teams to translate business constraints into mathematical formulations.
A typical day
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Morning stand-up: align on performance targets and new constraints.
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Data dive: explore panel behaviour in Python/SQL, craft new features.
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Modelling sprint: run hyper-parameter sweeps or explore heuristic/greedy and MIP/SAT approaches.
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Deployment: ship a model as a container, update an Airflow (or Azure Data Factory) job.
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Review: inspect dashboards, compare control vs. treatment, plan next experiment.
Tech stack
Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)
SQL (Redshift, Snowflake or similar)
AWS SageMaker → Azure ML migration, with Docker, Git, Terraform, Airflow / ADF
Optional extras: Spark, Databricks, Kubernetes.
What you’ll bring
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3-5+ years building optimisation or recommendation systems at scale.
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Strong grasp of mathematical optimisation (e.g., linear/integer programming, meta-heuristics) as well as ML.
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Hands-on cloud ML experience (AWS or Azure).
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Proven track record turning prototypes into reliable production services.
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Clear communication and documentation habits.
To Apply for this Job Click Here
Product Manager
London
£55000 - £62000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Product Manager – Operations / Supply Chain – London (Hybrid)
Operations Tools | Fulfilment | Inventory | Automation | Supply Chain Tech
Salary – £55,000 – £62,000
We’re working with a fast-growing scale-up in the sustainable food space that’s looking to hire a Product Manager focused on operations and supply chain tooling.
This is a high-impact role, owning the development of products that drive operational efficiency across fulfilment, logistics, inventory and planning. You’ll be translating business challenges and data insights into product requirements, working across engineering, data, sourcing and ops teams to build scalable backend and supply chain systems.
The team is looking for someone product-minded and user-centric, with a strong problem-solving instinct and a bias for shipping value quickly. It’s a collaborative environment with lots of scope to shape product and process strategy in a growing, purpose-led business.
Key experience required:
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Experience working on backend/ops/supply chain tools within a physical product business
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Strong understanding of service design, UX, APIs, and data
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Comfortable working on MVPs and iterations in a scale-up environment
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Able to work cross-functionally across product, ops, data and engineering
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Confident working independently and bringing clarity to ambiguous challenges
You must be based in the UK and open to working 2+ days a week in their South London HQ.
To Apply for this Job Click Here
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