Marketing Executive
Lancaster / £30000 - £32000 annum
INFO
£30000 - £32000
LOCATION
Lancaster
Permanent
Marketing Executive
Salary: Up to £35,000
Location: Lancaster (Hybrid - 2 days per week in office, ideally Tuesday & Thursday)
About the Company
With a legacy spanning over 200 years, this global leader in safety technology designs and manufactures high-performance hoses and foam-based products used across critical sectors. Their solutions are trusted worldwide by fire services, defence organisations, oil and gas majors, and the mining industry.
Operating internationally, the marketing function plays a pivotal role in supporting global channel partners and delivering strategic campaigns across B2B markets.
The Role
This is a broad and hands-on marketing position, ideal for someone who combines creative thinking with a keen eye for technical detail. You'll support global campaign execution and take ownership of diverse marketing initiatives that contribute directly to the brand's global visibility.
Key Responsibilities
Delivering digital and print marketing campaigns to support product launches and sales initiatives
Creating engaging collateral including brochures, newsletters, and email marketing content
Producing technical datasheets in collaboration with product and engineering teams
Supporting industry exhibitions and trade shows as required
Tools & Platforms in Use
CRM & Automation: HubSpot, Mailchimp
Analytics: Google Analytics
Web Management: Squarespace (across 8 international sites)
What We're Looking For
Around 3 years of experience in a marketing role (ideally B2B)
A commercially driven mindset with an understanding of technical audiences
Proficiency with Adobe InDesign and content creation tools
Strong communication and project coordination skills
Why Apply?
Join a highly respected international business offering the opportunity to work across a wide product portfolio with real-world impact. You'll gain exposure to global markets while being part of a collaborative, close-knit team that values initiative and innovation.
Interview Process
Two-stage process. The first stage can be conducted via Microsoft Teams; however, in-person is preferred. Strong first-stage performers may receive immediate offers.
CV feedback is guaranteed within 24 hours.

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To Apply for this Job Click Here
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4-MONTH CONTRACT
£450-550 PER DAY OUTSIDE IR35
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THE COMPANY:
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To Apply for this Job Click Here
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THE COMPANY:
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The ideal Principal Software Engineer will have:
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Please register your interest by sending your CV via the Apply link on this page.
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+ 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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Lead the end-to-end lifecycle of credit and affordability models, from data sourcing to production monitoring.
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Work with a range of data types, including bureau, open banking, and behavioural data.
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Own the development and execution of decisioning strategies, including champion/challenger experiments.
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Analyse portfolio performance and recommend strategic changes based on data insights.
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Partner with engineering teams to deploy models into production systems.
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Work closely with key stakeholders to align data-driven decisions with business goals.
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5-7 years of experience in a consumer credit environment, particularly in decision science or data science.
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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.
To Apply for this Job Click Here

Senior Product Analyst – Marketplace
City of London
£65000 - £72000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
To Apply for this Job Click Here
SENIOR PRODUCT ANALYST – MARKETPLACE
£65,000-72,000 + BONUS + BENEFITS
CENTRAL LDN
THE COMPANY
This is a fantastic opportunity at a leading tech provider / marketplace. This company uses cutting-edge technology and are at the forefront of their market, with a current focus on driving personalisation across the customer journey and product offering.
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The successful Senior Analyst will have the following skills and experience:
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The successful Senior Product Analyst will receive a salary between £65,000 and £72,000. In addition to this, you will receive an extensive benefits package and the opportunity to work in a great working culture and environment steering the direction of analytics for the company.
HOW TO APPLY
Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.
To Apply for this Job Click Here

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.
What You’ll Do
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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.
What We’re Looking For
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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.
To Apply for this Job Click Here

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