Data Scientist, S&O (Strategy&Operations)

The main goal of the Strategic and Operational Consulting Group is to increase the value and operational efficiency of our clients' businesses.

Industry expertise, advanced methodologies and operational experience of our team allow us to provide the highest quality services to our clients. KPMG's best local specialists and international experts with many years of experience in the relevant industry participate in the implementation of strategic consulting projects.

Duties:

— Conduct analytical research and contribute to strategical decisions on country / economic sectors / company / investment project levels

— Undertake benchmarking of sectors and companies

— Build projections based on key assumptions, scenarios, and sensitivity analysis

— Develop predictive models using large datasets

— Work with large and complex datasets from multiple open sources, applying web scraping API

— Apply machine learning or econometric techniques to improve forecast accuracy and scenario modeling

— Develop dashboards and data visualizations for internal and client presentations

— Prepare presentations for projects and business proposals

— Prepare analytical reports, policy notes, or investment memos

Requirements:

— Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance or other related degree with quantitative focus. Advanced degree is a plus

— At least 3 years of experience in analytical roles, applying data analytics, data mining, forecasting techniques, building analytical or forecasting tools

— Strong analytical, quantitative, and structured problem-solving skills

— Hands-on experience in building complex models in Excel, strong command of analytical tools such as: Python, SQL, Web scraping tools (e.g., BeautifulSoup, Selenium etc.), Visualization tools (Power BI, Tableau etc.). Econometric software (EViews, Stata, R, or MATLAB) knowledge is a plus

— Experience working with large statistical datasets, including public economic data, national statistics, trade data, and custom databases

— Ability to derive conclusions from large data sets, interpret and explain analytical outputs to non-technical audiences

— Demonstrated capacity to write clear and structured analytical reports and presentations

—   Ability to formulate, test, and validate hypotheses using data-driven methods and analytical reasoning

— Some understanding of macroeconomic indicators, sectoral data, and interdependencies in emerging markets

— Ability to work under tight deadlines and manage multiple workstreams

— Fluency in English, Russian

• Hybrid/remote/in-house
• Annual bonus
• Health/life insurance
• Location: Almaty/Astana
• Other benefits