Data Scientist - RealAdvisor

RealAdvisor; United Kingdom; On-site; GBP 56,000 - 78,000; Full time

Benefits offered by this job

Fully remote

Full-time freelance role

Competitive monthly rate

Job summary

RealAdvisor is seeking a business-oriented Data Scientist to join our remote-first team. You will consolidate data from product, marketing, CRM and transactions, build ML models, and run experiments to drive subscription growth.

You’ll present clear data stories to stakeholders and translate insights into product and marketing actions. This full-time freelance role offers a competitive monthly rate and cross-country collaboration with country managers to standardize metrics.

Qualifications

• 3+ years in data science or analytics.
• Proficient in Python and SQL.
• Experience consolidating diverse data sources into reliable data pipelines.
• Experience with experiment design and causal inference.
• Hands-on ML experience and model evaluation.
• Ability to build dashboards and present insights clearly.
• Business-minded and proactive with end-to-end delivery.

Responsibilities

• Consolidate data from product, marketing, CRM and transactional systems into datasets.
• Perform product analytics to measure feature usage, journeys and retention.
• Design and run experiments (A/B, cohort, causal impact) to validate hypotheses.
• Build ML models for revenue optimization, churn, segmentation and forecasting.
• Analyze marketing performance to measure acquisition, LTV and ROI.
• Translate analysis into product changes and growth experiments.
• Report results with dashboards and data storytelling for stakeholders.
• Work cross-functionally to standardize metrics and training; ensure data quality.

Skills

Python

SQL

Data visualization

Experiment design

ML modeling

Product analytics

Dashboards

Tools

Looker

Tableau

Power BI

dbt

Job description

About RealAdvisor

RealAdvisor is one of the leading digital platforms in the European real estate ecosystem. Founded in Switzerland, we now support 7,000+ real estate agencies and attract 10+ million users per year across Europe.

We are scaling fast across multiple markets with a clear mission: help real estate professionals grow through data, transparency and smart technology. At RealAdvisor, we value ownership, autonomy and impact.

Role Overview

We are looking for a business-oriented Data Scientist to join RealAdvisor. You will consolidate and analyze diverse data sources (product, marketing, transactional), build ML models and experiments to drive subscription growth, and translate insights into concrete product and marketing actions. This is a hands-on, full-stack role: you will query databases, run experiments, build models, and present clear data stories to stakeholders.

Key responsibilities

• Consolidate and aggregate data from product, marketing, CRM, and transactional systems into reliable datasets.
• Perform product analytics to measure feature usage, user journeys, and retention drivers.
• Design and run experiments (A/B tests, cohort analysis, population and variation control) to validate hypotheses and measure causal impact.
• Build ML models for revenue optimization, churn prediction, segmentation, and subscription forecasting.
• Analyze marketing performance to measure acquisition efficiency, LTV, and campaign ROI.
• Translate analysis into action: propose product changes, growth experiments, and operational KPIs.
• Report results using concise dashboards, reports, and data storytelling for non-technical stakeholders.
• Work cross-functionally with product, marketing, engineering, and country managers to standardize metrics and training.
• Maintain data quality: identify polluted data, propose remediation, and implement robust ETL checks.

Required skills and experience

• 3+ years in data science, analytics.
• Python and SQL skills for data manipulation, modeling, and production prototyping.
• Experience consolidating diverse data sources and building reliable analytical pipelines.
• Experiment design and causal inference methods.
• Practical ML experience (classification, regression, segmentation) and model evaluation.
• Product analytics tools experience.
• Ability to build dashboards and present insights clearly (Looker, Tableau, Power BI, or similar).
• Business mindset: translates technical results into measurable business outcomes.
• Proactive: takes initiative, owns end-to-end delivery, and can work with limited supervision.

Nice to have

• Experience with subscription businesses and monetization models.
• Familiarity with marketing attribution and LTV modeling.
• Frontend or backend dev experience to implement tracking or small UI changes.
• Knowledge of data engineering tools (Airflow, dbt, Spark).
• Experience working across international markets and multilingual datasets.

Why Join Us

• Fully remote.
• Full-time freelance role.
• Competitive monthly rate.