Growth Data Scientist — LTV & Channel Strategy

ARQ; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary and benefits

Stock options

Discretionary performance bonus

The latest tools and technology

World-class team growth

Job summary

ARQ is seeking a Senior Data Scientist to join its Growth team as the first data science hire, owning all data science initiatives across Growth and Marketing. You’ll start with predicting customer lifetime value across markets and channels and report to the Head of Growth and COO.

You will develop, maintain, and improve LTV models across four countries, guiding growth investment, channel performance, and long-term customer value. This is a high-ownership role with broad cross-functional impact.

Qualifications

• 5+ years in Data Science, Machine Learning, Applied Statistics, Analytics, or a related discipline.
• Experience building prediction models in a consumer business (B2C, D2C), around LTV, growth, acquisition, retention, churn, monetisation, or customer value.
• Strong Python skills and experience working with large scale datasets.
• Solid understanding of supervised learning techniques, model evaluation, feature engineering, and statistical trade offs.
• Ability to translate ambiguous commercial questions into structured data science problems.
• Strong business judgement and the ability to connect model outputs to real decisions.
• Experience working cross functionally.
• Clear communication skills, especially when explaining modelling assumptions, limitations, and recommendations to non technical stakeholders.
• Comfortable operating in a fast moving environment with high ownership and evolving priorities.
• Fluent in English, as we collaborate with teams across the globe.

Responsibilities

• Design, build, maintain, and improve lifetime value prediction models across ARQ’s countries and acquisition channels.
• Work closely with Growth & Marketing, Product, Finance, Data Engineering, and Engineering teams to understand business needs and translate them into modelling solutions.
• Help evaluate acquisition quality by channel, campaign, geography, customer segment, and product behaviour.
• Build models that support better decisions around growth spend, payback periods, customer quality, retention, and long term value.
• Analyse large scale customer, product, marketing, and transaction datasets to identify patterns, risks, and opportunities.
• Continuously monitor model performance and improve accuracy, reliability, and business impact over time.
• Create clear frameworks and metrics that help teams understand the trade offs behind growth decisions.
• Partner with Data Engineering and Engineering teams to productionise models, pipelines, and reporting where needed.
• Bring a pragmatic approach to modelling, balancing technical depth with commercial impact.
• Over time, contribute to other Data Science challenges across Growth and the wider business.

Skills

Python

LTV modelling

ML/Applied statistics

Cross-functional collaboration

Communication

Job description

ARQ is seeking a Senior Data Scientist to join its Growth team as the first data science hire, owning all data science initiatives across Growth and Marketing. You’ll start with predicting customer lifetime value across markets and channels and report to the Head of Growth and COO.

You will develop, maintain, and improve LTV models across four countries, guiding growth investment, channel performance, and long-term customer value. This is a high-ownership role with broad cross-functional impact.