Data Scientist Lead

19 hours ago

Work From Home, 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)

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.

We are looking for 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.

Key Responsibilities:
  • Design and implement advanced time series models for analysing large-scale mobility data.
  • Optimise models for high performance in low-resource computing environments.
  • 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.
  • Data-to-Text & Natural Language Query (Nice to Have):
    • Explore the potential of data-to-text models to generate narrative descriptions of trends and anomalies.
    • Contribute to building natural language query (NLQ) models for non-technical stakeholders to access data insights.
Requirements:
  • Time Series Analysis: Proven experience in developing time series models for large-scale geodata, including geo-clustering and trajectory analysis at multiple scales.
  • 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.
What We Offer:
  • Strong analytical and creative problem-solving abilities.
  • Ability to work effectively with multidisciplinary teams, including engineers, software developers, and SMEs.
  • Adaptability: Comfortable managing multiple projects in a fast-paced environment.
Education and Experience:
  • 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.

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