Job Title:Senior Data Scientist
Company Overview:Atreides helps organizations transform large and complex multi-modal datasets into information-rich geo-spatial data subscriptions that can be used across a wide spectrum of use cases. Currently, Atreides focuses on providing high-fidelity data solutions to enable customers to derive insights quickly.
Atreides transforms the chaos of petabyte-scale, all-domain data—land, air, sea, space, and cyber—into real-time operational clarity. We are a fast-moving, high-performance international scale company. We trust our team with autonomy, believing it leads to better results and job satisfaction. With a mission-driven mindset and entrepreneurial spirit, we are building something new and helping unlock the power of massive-scale data to make the world safer, stronger, and more prosperous.
Team Overview:We are a passionate team of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We obsess about designing products that will change the way global companies, governments and nonprofits protect themselves from external threats and global adversaries.
Position Overview:We're looking for a skilled Data Scientist to work on-site with a key customer, leading deep analytical investigations that uncover structure, relationships, and operational insight from complex and high-volume data streams.You’ll architect workflows for pattern identification, anomaly detection, and interaction analysis across disparate data sources — often involving tracked entities, sensor feeds, or behavioral signals. You will also define and implement quality assurance methodologies that ensure analytical outputs are consistent and interpretable, collaborating closely with engineers to embed those checks in production systems. In addition, you’ll take point on high-value or urgent analytic requests from internal and external stakeholders, helping translate open-ended questions into reliable, data-driven answers.
This role is hybrid, based one day per week on-site with an Atreides client based in Cambridgeshire, UK.
Team Principles:
At Atreides, we believe that teams work best when they:
- Remain curious and passionate in all aspects of our work
- Promote clear, direct, and transparent communication
- Embrace the 'measure twice, cut once' philosophy
- Value and encourage diverse ideas and technologies
- Lead with empathy in all interactions
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.
- Architect data quality and reliability evaluation processes at scale.
- Partner with 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.
Desired Qualifications:
- 5+ years of experience in data science, applied analytics, or data R&D.
- Advanced expertise in Python, Spark SQL, and distributed data environments.
- Strong background in statistical inference, anomaly detection, and interaction modeling.
- Proven track record in developing quality control or validation processes for complex analytics.
- Experience working with multi-source data and deriving insights from structured or semi-structured inputs.
- Excellent mentorship, communication, and analytical design leadership skills.
Compensation and Benefits:
- Competitive salary
- Comprehensive health, dental, and vision insurance plans
- Flexible hybrid work environment
- Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave
You must have the right to work in the United Kingdom. Please note that we do not provide visa sponsorship.
This position requires eligibility to obtain a minimum of a UK SC government security clearance, which typically requires residency or other qualifying criteria.
While meeting all of these criteria would be ideal, we understand that some candidates may meet most, but not all. If you're passionate, curious and ready to "work smart and get things done," we'd love to hear from you.
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