Data Science & AI Spcialist

Key Responsibilities

• Design, develop, and support data science and AI/ML solutions to enable data-driven decision-making.
• Perform data preparation, exploratory data analysis (EDA), and statistical modeling.
• Develop and evaluate machine learning models (regression, classification, clustering).
• Support the end-to-end AI/ML lifecycle from data ingestion through model deployment.
• Collaborate with cross-functional teams to translate business problems into analytical solutions.
• Present insights, model outcomes, and recommendations to technical and non-technical stakeholders.

Requirement

• sMin. 7 Yrs experience in data science, AI, or advanced analytics roles
• .Strong foundation in statistics, probability, and hypothesis testing
• .Proficiency in Python (Pandas, NumPy, SciPy, Scikit-learn) and/or R
• .Solid understanding of machine learning techniques and evaluation methods
• .Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
• .Strong knowledge of SQL for data extraction and transformation
• .Familiarity with big data platforms (Spark, Hadoop) is an advantage
• .Awareness of AI governance, IT, and enterprise frameworks such as
• :ISO 20000, ISO 2700
• 1ITIL 4, DevOps, Agile SDL
• CTOGAF, NOR
• AExcellent communication and stakeholder engagement skills