Data Scientist (Consulting sphere)

Company Background

Our client provides shared services in analytics, technology, legal, accounting, and HR, supporting companies that deliver subscription-based financial research and educational products to millions of investors worldwide. The mission is to empower client companies with systems, support, and insights needed to deliver best-in-class financial intelligence products. The team operates in an integrated environment using Kanban methodology.

Project Description

The project focuses on advanced analytics, predictive modeling, and AI-augmented workflows within a modern data platform. You will translate business needs into analytical tasks, develop statistical and predictive models, and enhance decision-making through machine learning and generative AI tools. The environment emphasizes analytical rigor, automation, and continuous improvement using modern BI and data warehouse technologies.

Technologies

• Snowflake
• Looker
• Tableau
• Python
• SQL
• Machine Learning
• Generative AI tools (ChatGPT, Claude, Cursor)

What You'll Do

• Translate business requirements into analytical and predictive tasks;
• Design and implement data models in collaboration with BI and product teams;
• Write SQL and Python code for analysis, transformation, validation, and automation;
• Build and maintain dashboards in Looker and/or Tableau;
• Apply statistical and predictive techniques to improve customer experience and revenue performance;
• Participate in development and monitoring of ML models;
• Use Generative AI tools for validation, cross-checking, and workflow acceleration;
• Ensure data quality, documentation, and transparency;
• Contribute to continuous improvement of analytics and AI-driven processes;

Job Requirements

• 3+ years of experience in Data Analytics, Data Science, or related roles;
• Strong SQL skills (joins, aggregations, analytical queries);
• Solid Python skills (data analysis, scripting, automation);
• Strong understanding of statistics (distributions, correlations, regression, hypothesis testing);
• Strong analytical thinking and understanding of business metrics;
• Genuine interest in Predictive Analytics and applied Machine Learning;
• High attention to data quality and accuracy;
• Ability to clearly communicate analytical results to non-technical stakeholders;
• Team-oriented mindset with ownership and initiative;
• English level: B2+ (Upper-Intermediate) or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.