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Senior Data Scientist, Growth

ARQLondonEngineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
12 Aug 2026
Status
Open · checked 7d ago

About this role

ARQ is seeking a Senior Data Scientist to join the Growth team in London as the first data science hire in this function. This remote-friendly full-time position suits an experienced professional ready to lead customer lifetime value forecasting and guide company acquisition strategies.

Role Overview

In this high-ownership position, the selected individual acts as the primary data science expert for Growth and Marketing. Reporting directly to the Head of Growth and the COO, the professional translates vague commercial questions into structured modeling problems. The role requires building robust solutions that directly impact investments, channel performance, and long-term customer value across four countries.

Key Responsibilities

Design, construct, maintain, and optimize lifetime value forecasting models spanning international markets and user acquisition channels.
Collaborate alongside Growth, Marketing, Product, Finance, and Engineering departments to deliver actionable modeling solutions.
Assess acquisition quality across varied campaigns, geographies, channels, user segments, and product behaviors.
Generate models that inform choices regarding growth expenditures, payback durations, retention rates, and long-term worth.
Examine extensive transaction, product, marketing, and customer datasets to spot trends, hazards, and expansion chances.
Track model output consistently to boost precision, dependability, and commercial results.
Establish transparent performance frameworks and metrics to clarify the consequences behind strategic scaling choices.
Cooperate with engineering staff to operationalize data pipelines, reporting tools, and predictive models.

Requirements

Minimum of five years of professional background within Data Science, Applied Statistics, Machine Learning, Analytics, or related fields.
Practical history constructing predictive models in consumer-facing B2C or D2C sectors, focusing on LTV, customer value, churn, acquisition, or retention.
Proficient programming abilities in Python paired with expertise handling large-scale information repositories.
Firm grasp of supervised learning methods, feature engineering, statistical trade-offs, and model evaluation.
Competence in transforming complex commercial scenarios into clear data science workflows.
Sound commercial awareness with the capability to link analytical findings to practical business outcomes.
Strong cross-functional collaboration and fluency in English for global teamwork.
Ability to thrive in a fast-paced setting characterized by significant autonomy and shifting priorities.

Nice to Have

Background working in financial technology, digital banking, lending, investing, or related consumer finance fields.
Tenure within fast-scaling B2C or D2C enterprises like subscription services, health tech, marketplaces, or retail.
Practical exposure to customer acquisition costs, cohort analysis, churn forecasting, or marketing mix modeling.
Experience operating across international currencies, multiple regions, and distinct consumer groups.
Familiarity with MLOps practices, causal inference, experimentation design, and system deployment alongside engineering teams.

Skills and Tools

Python
MLOps
Supervised Learning Techniques
Feature Engineering
Statistical Modeling
Large-Scale Data Sets

Salary and Benefits

Competitive financial compensation package
Stock options allowing employees to share in the ownership of the platform
Discretionary performance-based bonus structure
Access to modern technology and professional tools
Collaboration with a skilled global team
Office policy requiring three to four days per week on-site presence

About the Company

ARQ operates in the financial technology sector, building consumer applications with a primary focus on Latin American markets. The organization fosters a collaborative, high-performance environment where team members tackle complex international scaling challenges.

How to Apply

Interested candidates should visit the official ARQ careers page to submit their application for this opportunity.

Skills and tech stack

PythonMLOps

Questions candidates ask

What is the primary focus of this role?

The Senior Data Scientist will lead all data science initiatives for the Growth and Marketing teams, focusing initially on predicting customer lifetime value across multiple markets and acquisition channels.

Where is the job located?

The position is based in London with remote work flexibility, though the company enforces an office policy requiring three to four days per week in-office.

What experience level is required?

Applicants must have five or more years of professional experience in Data Science, Machine Learning, Applied Statistics, Analytics, or a related discipline.

What technical skills are necessary?

Candidates need strong Python programming skills, experience with large-scale datasets, and a solid understanding of supervised learning techniques, feature engineering, and model evaluation.

What benefits are included with the position?

The role includes a competitive salary, stock options, a discretionary performance bonus, modern tools, and collaboration with a global team.

Ready to apply?

The application is on the official ARQ careers page.

Apply on company site