Lead Data Scientist

3 weeks ago

London Area, United Kingdom Inara Full time
Job Title: Lead Data Scientist - Time Series & Mobility Data Analysis

Industry: Public Sector & InsurTech

Location: London, hybrid (one day a week in the office)

Additional info: Must be eligible for SC Clearance

About the Company:

Inara is an emerging technology company specialising in identifying uncharted global risks. We leverage cutting-edge technologies to provide near-real-time monitoring and analysis of threat actor activities worldwide, delivering actionable insights across multiple domains.

About the Role:

We are seeking an experienced Lead Data Scientist with a deep background in time series analysis and mobility data to lead the development of advanced data science pipelines. The successful candidate will play a pivotal role in optimising and deploying models that integrate with an existing PostgreSQL-based infrastructure, enabling the identification of patterns of life (PoL), anomaly detection, and high-volume data analysis. You'll be tasked with building scalable, efficient pipelines that meet the diverse needs of our clients, including those operating in compute-constrained environments.

Key Responsibilities:

  • Time Series Analysis & Modelling:
    • Design and implement advanced time series models for analysing large-scale mobility data.
    • Develop algorithms to detect patterns of life and anomalies at tactical, operational, and strategic levels.
    • Optimise models for high performance in low-resource computing environments.
  • Pattern of Life & Anomaly Detection:
    • Collaborate with subject matter experts (SMEs) to label, develop, and validate custom models for PoL and anomaly detection using libraries like Scikit-learn and PySAL.
    • Create scalable anomaly detection systems adaptable to various levels of analysis.
    • Continuously refine and validate model outputs to meet client requirements.
  • Data Object Generation & Analysis:
    • Create and manage data objects such as clusters, paths, and PoL, ensuring they are trackable, interrogable, and enrichable.
    • Integrate these objects into broader analytical frameworks for comprehensive data analysis.
  • Optimisation in Compute-Constrained Environments:
    • Tailor models to perform optimally in environments with limited computational resources.
    • Ensure high accuracy while minimising memory and processing requirements.

Technical Skills & Knowledge Required:

  • Time Series Analysis: Proven experience in developing time series models for large-scale geodata, including geo-clustering and trajectory analysis at multiple scales.
  • Pattern Recognition & Anomaly Detection: Expertise in creating models for PoL detection and anomaly identification using algorithms such as ST-DBSCAN, Dynamic Time Warping, and Trajectory Analysis.
  • Programming: Proficiency in Python or R, with experience using libraries like Pandas, GeoPandas, Scikit-learn, TensorFlow, and PyTorch.
  • NLP (Nice to Have): Experience with natural language processing, data-to-text models, and natural language query systems is a plus.
  • Advanced Knowledge: Familiarity with deploying Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) using knowledge graphs is desired.

Success Skills:

  • Problem-Solving: Strong analytical and creative problem-solving abilities.
  • Collaboration: Ability to work effectively with multidisciplinary teams, including engineers, software developers, and SMEs.
  • Communication: Skilled in conveying complex technical concepts to non-technical stakeholders.
  • Adaptability: Comfortable managing multiple projects in a fast-paced environment.

Education & Experience:

  • Education: Master's or PhD in Data Science, Statistics, Computer Science, or a related field.
  • Experience: At least 6 years of experience in data science, with a focus on time series and mobility data analysis.

What's On Offer:

  • Competitive salary and comprehensive benefits package, including health insurance and mental health support.
  • Opportunity to work on cutting-edge technology in the defence sector.
  • A collaborative and innovative work environment with a senior engineering team that emphasises open-source solutions.
  • Continuous professional development and training opportunities.

Inara is an equal opportunity employer. Diversity and inclusion are celebrated, and we are committed to fostering an inclusive workplace for all employees.

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