Overview
Atreides is a fast-moving, high-performance international scale company that transforms large, complex multi-modal datasets into information-rich geospatial data subscriptions and real-time operational clarity. We work across land, air, sea, space, and cyber domains, helping our customers derive insights quickly and unlock the power of massive-scale data to make the world safer, stronger, and more prosperous. Our team is made up of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We value autonomy, curiosity, transparent communication, diverse ideas, empathy, and a measure-twice, cut-once mindset. We offer a competitive salary, comprehensive health, dental, and vision insurance, a flexible hybrid work environment, and additional benefits including flexible hours, work travel opportunities, competitive vacation time, and parental leave.
Salary: £70,000 – £94,000 per year
Qualifications
- 5+ years of experience in data science, applied analytics, machine learning, or analytical R&D.
- Advanced expertise in Python and distributed compute frameworks such as Spark or Databricks, with strong proficiency in Spark SQL.
- Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical methods suited to large and heterogeneous datasets.
- Experience working with multi-source, semi-structured, geospatial, or entity-centric data, with a strong ability to derive insight from complex operational environments.
- Demonstrated success building data quality, validation, or reliability frameworks, particularly for analytical workflows or model-adjacent processes.
- Ability to translate ambiguous analytical problems into structured, reproducible investigation plans.
- Excellent communication, mentorship, and cross-functional collaboration skills.
- Nice to have: experience with MLflow, feature stores, or MLOps platforms; familiarity with model lifecycle management, reproducibility tooling, or production model monitoring.
Responsibilities
- Design and lead investigations into patterns, trends, and edge cases across filtered datasets.
- Develop interaction models and fused analyses across multiple entity types and data modalities.
- Design data validation, anomaly sanity checks, and analytical reliability frameworks to ensure analytical outputs behave correctly across varied data inputs.
- Partner with solutions and data engineering to embed analytic logic into data pipelines and services.
- Conduct bespoke, high-complexity analysis in support of customer-facing or operational needs.
- Guide team best practices in Spark SQL usage, data documentation, and exploratory reproducibility.
Technologies
- Databricks
- Support
- Machine Learning
- Python
- SQL
- Spark
- Architect
We are Atreides, a fast-moving, high-performance international scale company that transforms large, complex multi-modal datasets into information-rich geospatial data subscriptions and real-time operational clarity. We work across land, air, sea, space, and cyber domains, helping our customers derive insights quickly and unlock the power of massive-scale data to make the world safer, stronger, and more prosperous. Our team is made up of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We value autonomy, curiosity, transparent communication, diverse ideas, empathy, and a measure-twice, cut-once mindset. We offer a competitive salary, comprehensive health, dental, and vision insurance, a flexible hybrid work environment, and additional benefits including flexible hours, work travel opportunities, competitive vacation time, and parental leave.
last updated 28 week of 2026
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