Senior Data Scientist – Real Estate

Senior Data Scientist – Real Estate

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build AI-enabled workflows and advanced predictive models for real estate data.
  • Company: Join Truelogic, a leading tech provider with a dynamic team culture.
  • Benefits: 100% remote work, competitive USD pay, and generous paid time off.
  • Other info: Collaborate with a diverse global network of over 600 skilled professionals.
  • Why this job: Make an impact in the real estate industry with innovative projects and top-tier companies.
  • Qualifications: 5+ years in data science, strong SQL and Python skills, and experience with ML concepts.

The predicted salary is between 60000 - 80000 £ per year.

About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York.

For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.

S. companies on their most impactful projects.

Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations.

We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

Our client is a premier, tech-forward real estate brokerage and media firm designed for the marketplace of tomorrow.

Originally founded by one of the top-ranked sales teams in New York City, this full-service organization has successfully disrupted the traditional real estate model by fusing luxury property brokerage with an internal media powerhouse.

Job Summary

We’re looking for a data scientist to plug into our team and help us get more out of it, including building AI-enabled workflows on top of our data.

You’d work alongside product, engineering, and brokerage ops.

Responsibilities

  • Build and deploy advanced predictive models for lead scoring, agent matching, price and time-on-market estimation, and conversion likelihood.
  • Develop production-grade RAG and Graph RAG pipelines, construct complex knowledge graphs across listings, agents, and clients, and design retrieval and ranking systems for unstructured data.
  • Write robust data transforms in Databricks (using SQL and Py Spark) and author highly performant SQL queries across Click House and Postgre SQL.
  • Partner closely with engineering teams to ship model and LLM outputs to production environments, frequently utilizing Inngest.
  • Analyze MLS data to surface actionable market trends and directly feed data-driven product features.
  • Design and analyze product experiments utilizing Post Hog, and build comprehensive dashboards and analyses within Hex and Metabase.
  • Act as a strategic partner by translating ambiguous business questions into clear, actionable, and data-backed recommendations.

Qualifications and Job Requirements

  • 5+ years of experience in data science or applied machine learning within a product-led company.
  • Exceptional SQL proficiency, with mandatory experience in Postgre SQL (Click House experience is a strong plus).
  • Solid hands-on Python expertise, specifically with libraries such as pandas, scikit-learn, and statsmodels.
  • Proven experience applying core ML concepts, including regression, classification, forecasting, and clustering, to real-world problems.
  • Demonstrated success building and deploying RAG or LLM-powered workflows in a live production environment, going beyond simple prototypes.
  • Strong background in A/B test design, execution, and statistical analysis.
  • Hands‑on experience with modern notebook or BI platforms (e. g., Hex, Metabase, Mode) and product analytics tools (e. g., Post Hog, Amplitude, Mixpanel)
  • Exceptional communication skills with a proven ability to explain complex technical concepts to non-technical stakeholders.

What We Offer

  • 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
  • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
  • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
  • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
  • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U. S. Companies.
  • Why You’ll Like Working Here
  • A Culture
  • That
  • Values

You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.

  • Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
  • Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you’re working with the best in your field.

Apply now!

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Contact Details:

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We think you need these skills to ace Senior Data Scientist – Real Estate

Predictive Modelling
Lead Scoring
Agent Matching
Price Estimation
Time-on-Market Estimation
Conversion Likelihood Analysis
RAG Pipelines