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lavori da Laboratory Scientist in località Emirati Arabi Uniti

Data Scientist UAE

Silent Eight Pte. Ltd.

Emirati Arabi Uniti
Remoto
AED 500.000 - 700.000
9 giorni fa
Voglio ricevere notifiche sulle ultime opportunità lavorative da Laboratory Scientist.

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Data Scientist · UAE ·
Silent Eight Pte. Ltd.
Remoto
AED 500.000 - 700.000
Tempo pieno
9 giorni fa

Descrizione del lavoro

A leading RegTech firm is seeking a Data Scientist to develop AI solutions for financial crime prevention. This role involves managing the complete data science lifecycle, utilizing technologies like machine learning and NLP. Candidates should have 3-5 years of experience in LLM technologies and solid Python and SQL skills. Offering full-time employment, flexible work options, and opportunities for career growth, this position is ideal for proactive individuals excited about driving impactful data solutions.

Servizi

Flexible working hours
Remote work forever
Employee benefits
Career growth opportunities

Competenze

  • 3-5 years of demonstrated experience with LLM technologies and building NLP applications.
  • Deep proficiency in Python, writing clean, modular, maintainable, and testable code.
  • Solid SQL skills and experience with large-scale data.

Mansioni

  • Lead the data science lifecycle from discovery to delivery.
  • Translate business problems into clear problem statements.
  • Build quick prototypes and deploy validated solutions into production.

Conoscenze

Python
SQL
Graph analysis
Machine Learning
NLP
Clean code practices

Formazione

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field

Strumenti

LangChain
LlamaIndex
OpenAI APIs
PySpark
BigQuery
Git
Docker
Descrizione del lavoro

At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We’re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place!

As a Data Scientist, you will own the end-to-end development of data solutions — from understanding business problems to deploying and maintaining models in production. You’ll work closely with customers and internal teams to build impactful, scalable solutions using machine learning, NLP, and other advanced techniques.

Responsibilities
  • Lead the data science lifecycle, from discovery and exploration to delivery and customer hand-off.

  • Translate ambiguous business problems into clear problem statements and deliver working, production-ready solutions.

  • Partner with customers and internal stakeholders to co-design use cases, define success criteria, and ensure models are adopted and successful in production.

  • Build quick, iterative prototypes to test ideas, and work cross-functionally to deploy validated solutions into production environments.

  • Own and improve pipelines for data integration, validation, and monitoring, ensuring long-term stability and performance.

  • Analyze large-scale structured and unstructured datasets to extract insights and power model development.

  • Apply machine learning, NLP, graph analytics, and other advanced techniques to solve challenging problems such as semantic search, or anomaly detection.

  • Create and maintain internal data science tooling to streamline experimentation, testing, and delivery.

  • Support internal teams and customers with issue resolution, ensuring data science solutions continue to deliver value post-deployment.

  • Follow and advocate for best practices in MLOps, DataOps, and clean code to ensure reproducibility, maintainability, and scalability.

Requirements
  • Based in the United Arab Emirates (remote-first team; flexible working environment).

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

  • 3-5 years of demonstrated experience with LLM technologies (LangChain, LlamaIndex, OpenAI APIs, etc.) and building NLP applications.

  • Deep proficiency in Python: you write clean, modular, maintainable, and testable code suitable for real-world deployments.

  • Solid SQL skills and hands-on experience with large-scale data (e.g., PySpark, BigQuery).

  • Skilled in graph analysis, machine learning, and unstructured data workflows.

  • Demonstrated ability to apply software engineering best practices (e.g., modular design, clean code, unit testing, CI/CD) in data science and machine learning projects, ensuring production-readiness and maintainability.

  • Ability to drive end-to-end initiatives, from exploration to delivery, where solutions must be state-of-the-art, business-aligned, and regulatory-compliant.

  • Comfortable working in Linux environments and using collaborative tools (e.g., Git, Docker).

  • Strong communication skills—translate technical complexity into actionable business narratives, driving clarity, alignment, and decision-making across all levels of the organization.

  • Mindset of ownership: you’re excited to see projects through, from first prototype to deployed, customer-facing solution.

We offer:
  • Full time employment

  • Employee benefits

  • Work-life balance: flexible working hours, remote work forever

  • Career growth: Promotion and great development opportunities within the organization

* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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