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For Companies At a Glance
- Tasks: Lead deep analytical investigations and uncover insights from complex data streams.
- Company: Atreides, a fast-moving startup transforming geo-spatial data solutions.
- Benefits: Competitive salary, health insurance, flexible hours, and hybrid work options.
- Other info: Join a diverse team with excellent career growth opportunities.
- Why this job: Make a real impact by solving complex problems with cutting-edge data science.
- Qualifications: 5+ years in data science, strong Python and Spark SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
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. We are a fast-moving, high-performance startup. We value a diverse team and believe inclusion drives better performance. 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.
Team Principles
- 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
Position Overview
As a Senior Data Scientist at Atreides, you will lead 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.
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.
Desired Qualifications
- 5+ years of experience in data science, applied analytics, machine learning, or analytical R&D.
- Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including 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.
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
Senior Data Scientist (UK) employer: Atreides
Contact Detail:
Atreides Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (UK)
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and analyses. This gives potential employers a taste of what you can do, especially for a role like Senior Data Scientist.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We all know that confidence is key, so the more you rehearse, the better you'll perform!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist (UK)
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data science shine through! We love candidates who are genuinely excited about uncovering insights from complex datasets. Share specific examples of projects or experiences that fuel your passion.
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Scientist role. Highlight relevant experience with Python, Spark SQL, and any analytical methods you've used. We want to see how your skills align with our mission at Atreides!
Be Clear and Concise: We appreciate straightforward communication, so keep your application clear and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills. Remember, less is often more!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Atreides!
How to prepare for a job interview at Atreides
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around statistical inference and anomaly detection. Be ready to discuss your experience with Python and Spark SQL, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex analytical problems in the past. Think about how you translated ambiguous questions into structured investigation plans and be ready to explain your thought process.
✨Communicate Clearly
Since Atreides values clear and transparent communication, practice articulating your ideas and findings succinctly. Be prepared to explain technical concepts in a way that non-technical stakeholders can understand.
✨Emphasise Collaboration
Highlight your experience working cross-functionally, especially with engineers. Discuss how you've partnered with others to embed analytic logic into data pipelines and ensure quality assurance in your outputs.