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Andersen is hiring a Data Scientist in Abu Dhabi to build AI solutions for intelligent supply chain management, enabl...

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Selected role

Data Scientist (Abu Dhabi, UAE)

Andersen Lab Kraków, ML, PL

Senior Full-time

Summary

Andersen is hiring a Data Scientist in Abu Dhabi to build AI solutions for intelligent supply chain management, enabling predictive analytics and data-driven decisions in a secure industrial environment.

The customer is an organization operating in the technology and consulting domain, supporting businesses with the implementation of digital initiatives and process improvements. The company delivers a range of services related to software solutions, system enhancements, and advisory support, helping clients adapt to evolving technological landscapes through flexible engagement approaches and scalable delivery models.

The project is focused on developing AI-driven solutions for intelligent supply chain management in a high-security industrial environment. It involves building production-grade AI systems that connect unstructured data with enterprise platforms to enable predictive analytics, automated requirements of engineering, and data-driven decision-making.

Responsibilities

Querying and analyzing large domain- or topic-specific data sets from both structured and unstructured sources, identifying patterns and features.
Ensuring data meets quality standards and requirements before model development.
Designing and fine-tuning LLMs to parse complex regulatory texts and extract structured rules for automated compliance checking.
Converting interpreted regulations into computer-processable formats that can be executed by downstream compliance engines.
Architecting methods for LLMs to map natural language requirements directly to specific metadata entities within various schemas.
Implementing RAG pipelines that allow systems to query vast repositories of technical documentation and historical project data with high accuracy and low hallucination rates.
Developing time-series forecasting models to predict spending categories and material demand by correlating internal ERP data with external macroeconomic signals.
Building machine learning classifiers to categorize supplier risks and operational anomalies, integrating data from diverse sources to create dynamic risk scores.
Designing robust pipelines to extract and transform raw data into features required for predictive modeling and automated rule checking.
Working with Backend Engineers to integrate AI models into a cohesive "compliance engine" or "risk engine" that can be invoked programmatically via robust APIs.
Streamlining model performance to ensure complex checks can be executed within reasonable timeframes, potentially using batching or asynchronous processing.
Validating model outputs against known test cases and historical data, debugging false positives/negatives to refine algorithms and ensure "defense-grade" reliability.

Requirements

Experience in Data Science or Machine Learning for 5+ years, with a proven track record of deploying models into production environments.
Expert proficiency in Python and standard ML libraries (TensorFlow/PyTorch, Scikit-learn, Pandas, NumPy). Strong grasp of both supervised and unsupervised learning techniques.
Deep experience with transformer-based models (GPT, BERT, Llama) and prompt engineering techniques (few-shot learning, fine-tuning) for domain-specific tasks.
Proficiency in handling complex data structures (JSON, XML) and familiarity with database querying (SQL/NoSQL) or graph data structures.
Experience with data extraction from specialized formats is a significant plus.
Understanding of how to expose models via RESTful APIs (Flask/FastAPI) and integrate them into larger software architectures.
Solid understanding of statistics, probability distribution, A/B testing. Adept at identifying and mitigating biases in datasets.
Ability to quickly grasp complex domain terminology (e.g., construction regulations, defense standards, supply chain taxonomies) and translate them into logic.
Experience working in structured delivery models (Agile/Sprint-based) while adhering to rigorous validation and verification standards.
Strong communication skills to work effectively with Domain Experts, Backend Engineers, and Product Managers to align model outputs with real-world business logic.
Level of English – from Upper-Intermediate and above.

Reasons to join us

Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
The opportunity to change the project and/or develop expertise in an interesting business domain.
Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
Certification compensation (AWS, PMP, etc).
Referral program.
English courses.
Private health insurance and compensation for sports activities.

Join us!

Locations

The united arab emirates

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