Data Scientist

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity.

With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

AI &

Key responsibilities and profile:

• Design, develop, and validate AI/ML PoCs tailored to client use cases across industries.
• Collaborate with consulting teams to enhance and deploy Sia’s AI assets (SiaGPT, AI Labs) into client environments.
• Build and optimise machine learning models across supervised/unsupervised learning, NLP, and deep learning.
• Implement data pipelines, feature engineering, and model deployment workflows on cloud platforms (Azure, AWS, GCP).
• Translate business requirements into technical prototypes, ensuring fast turnaround and measurable business impact.
• Develop data visualisations and dashboards (Power BI, Tableau, or similar) to communicate insights effectively.
• Contribute to the scaling and reusability of PoCs across the Middle East region.
• Ensure clean, well-documented, reproducible code using Python (or similar) and modern ML frameworks.
• Work closely with Middle East consultants and client teams to ensure seamless delivery and adoption.
• Stay current with emerging AI research, tools, and frameworks to bring innovation into Sia’s AI offerings.
  

Qualifications

• 3+ years’ experience as a Data Scientist or Data analyst (ideally in consulting)
• At least a bachelor’s or equivalent degree in a relevant area of study (Data Science, Business Analytics, Statistics, Economics or a related field of study) from a top university
• Good skills in Python and ideally another analytical language (e.g., R, SQL)
• Problem-solving aptitude and strong business acumen
• Excellent communication and presentation skills

• Technical foundation

  in some or all of the following:
  • Cloud data platforms (Azure, AWS, GCP, Snowflake, Oracle).
  • Data transformation and analytics tools (ADF, Databricks, Power BI, Tableau, QuickSight, etc.).
  • Applied AI/ML techniques (supervised/unsupervised learning, forecasting, econometrics).
• An entrepreneurial mindset with a passion for innovation and problem-solving
  

Additional Information

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.