Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Data Scientist

Harding Retail
Bristol
1 day ago
Create job alert
Overview

Here at Harding+ we are currently recruiting for a Lead Data Scientist to join our Technology team, you will be the first person into our newly created Data Science function. The role will shape the way we use data and AI across the business, both internally and in collaboration with our cruise partners.

With a dedicated BI team focused on provisioning and managing data, we are now investing in a new Data Science function. This will be central to unlocking insights, applying advanced analytics and AI, and delivering measurable commercial impact.

Joining us as a Lead Data Scientist is truly an exciting opportunity to own and grow a new team while working in a scaling retailer with a twist.

About the role

About the role: As our Lead Data Scientist, you will play a hands-on role in analysing data, developing models, and delivering insights that drive key retail and cruise line decisions. At the same time, you will help set the direction for our new Data Science function and grow into a leadership role as the team expands.

You will work closely with our BI, Commercial, and Cruise Line Partner teams to turn Harding’s rich datasets into practical, actionable solutions in areas such as sales forecasting, inventory optimisation, customer behaviour, and promotional effectiveness.

In addition, you will be expected to explore and apply emerging AI technologies from machine learning automation, to natural language and image analysis to bring innovative approaches to retail insight and operational efficiency.

This role can either be based in our Avonmouth Office or Miami Office - Hybrid working 2/3 days per week

Compensation – competitive salary, bonus scheme, pension, 4 x life assurance, healthcare cash plan, 26 days annual leave(plus the opportunity to buy an additional 5 days)

What you will be doing
  • Build, validate, and deploy advanced statistical, machine learning, and AI-driven models that address retail and cruise industry challenges (e.g., demand forecasting across ships, personalised promotions, dynamic pricing, customer segmentation).
  • Explore opportunities to leverage AI techniques (e.g., recommendation systems, NLP, computer vision, generative AI) to improve customer experience and operational efficiency.
  • Translate raw data into actionable insights on sales, promotions, margin, customer lifetime value, and store performance across a diverse fleet.
  • Partner with senior stakeholders within Harding and external cruise line partners to align analytics and AI initiatives with strategic priorities.
  • Provide insights that support tailored retail strategies for different cruise lines, enhancing both passenger experience and commercial performance.
  • Work closely with the BI team to ensure access to high-quality data and effective pipelines.
  • Present findings to Harding’s senior leaders and cruise line executives, turning complex analysis into clear recommendations.
  • Act as the founding member of the Data Science function, with the opportunity to grow into a leadership role and mentor junior hires as the team expands.
About you
  • Proven experience as a Data Scientist or Senior Data Scientist, ideally in retail, travel, or consumer-focused industries.
  • Proficiency in Python (or R), SQL, and applied machine learning techniques.
  • Awareness of AI tools and approaches (e.g., recommender systems, natural language processing, computer vision, or generative AI) and how they can be applied to business challenges.
  • Strong grasp of retail and commercial metrics — sales, margin, promotions, stock, and customer analytics.
  • Experience in building forecasting, optimisation, or segmentation models.
  • Excellent communication skills — able to explain technical outputs in clear business terms to both internal stakeholders and external partners.
  • Self-starter attitude with the ability to set priorities and work independently.
  • Exposure to Azure cloud-based platforms
  • Familiarity with data visualisation tools (Power BI, Tableau, etc.)
  • Experience mentoring junior analysts or scientists
  • Experience working with external partners or clients, particularly in a commercial retail or travel context would be ideal
  • Must have an existing right of eligibility to work in the UK/US
Key Attributes

trust, collaboration, respect, passion, drive, resilience

About us

Harding+ is the only 100% dedicated cruise retailer, proudly partnering with 12 cruise line operators globally, across more than 80+ cruise ships either in operation or under contract. Our mission is simple: make every cruise better. We operate over 300 retail shops across 80+ ships, covering 17,000m² of retail space and handling 6.6 million transactions annually.

Our team includes over 1,300 onboard team members and more than 270 landside employees, we stay at the forefront of retailing and consistently provide outstanding customer service, culminating in winning the Cruise Retailer of the Year award for 2022 and 2023.

Harding+ is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Harding+.


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist - Remote

Lead Data Scientist - Remote

Lead Data Scientist - Remote

Lead Data Scientist

Lead Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.