• Proficiency in data analysis methods and tools, with a strong focus on Python.
  
• Experience in data mining, machine learning techniques (including deep learning, natural language processing, and computer vision), and statistical analysis.
  
• Advanced skills in data visualization using libraries like Matplotlib, Seaborn, or platforms such as Tableau or Power BI.
  
• Excellent written and verbal communication abilities.
  
• Skill in translating complex data insights and machine learning models into actionable recommendations.
  

• Support high-quality research projects centered on advanced Machine Learning, AI, and data analysis.
  
• Attend project setup meetings to understand client requirements and translate them into effective data science strategies.
  
• Execute smaller research projects using machine learning and AI techniques under supervision.
  
• Perform in-depth data analysis using advanced methods, machine learning models, and statistical tools.
  
• Create clear and impactful data visualizations to convey complex findings to technical and non-technical audiences.
  
• Contribute to report writing and data analysis, emphasizing the business relevance of insights.
  
• Work closely with senior data scientists and engineers to develop and deploy machine learning solutions.
  
• Assist in reviewing training materials and developing internal tools related to Machine Learning and AI.
  

• Attend assignment setup and debrief meetings to assess the technical feasibility of machine learning solutions.
  
• Conduct “Quality of Delivery” assessments with team members post-assignment to evaluate the effectiveness of machine learning models.
  
• Take responsibility for personal development, pursuing knowledge and certifications in advanced Machine Learning and AI areas, including transformers, LLMs, and generative AI.
  

• Participate in assignment setup and debrief meetings
  
• Lead small, straightforward assignments under supervision
  
• Carry out assignments with attention to detail and a focus on quality
  
• Assist in report writing and data analysis processes
  
• Build connections with junior client staff to gather relevant assignment information/data.
  
• Aid in reviewing delivered training courses, prepared research papers, developed curriculum, and technical assistance provided to clients
  
• Contribute to the creation of MSC’s toolkits and publications.
  
  

• Conduct “Quality of Delivery” feedback sessions with team members post-assignment per quality guidelines.
  
• Support the development of other staff by providing guidance and advice as needed.
  
• Take ownership of self-improvement by acquiring skills and knowledge that add value to the organization.
  
  

Requirements

• Master’s (preferred) or Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
  
• Experience in applied machine learning projects.
  
• Familiarity with ML/AI algorithms or relevant certifications is a plus.
  

• 2–5 years of experience in statistics, econometrics, machine learning (ML), and artificial intelligence (AI) for data analysis projects.
  
• Experience with text, image, and time series data is a plus.
  
• Experience in building and deploying ML models in production.
  
• A strong passion for the latest advancements in ML/AI, including transformers, large language models (LLMs), and generative AI.