Data Science Jobs in Russia
There are 295 open Data Science jobs in Russia on freehire right now. 41 of them were posted recently. The skills employers ask for most often are python, machine-learning and sql.
Most requested skills
- python 83%
- machine-learning 80%
- sql 53%
- llm 46%
- ai 39%
- pytorch 39%
- pandas 38%
- nlp 35%
How the work is done
- Onsite 64 · 22%
- Remote 64 · 22%
- Hybrid 34 · 12%
Visa sponsorship offered in 34% of the 91 postings that state a position on it.
Seniority
- Senior 72
- Middle 38
- C-level 20
- Intern 19
- Lead 17
- Junior 11
Who is hiring
- 1000+ employees 162
- 501-1000 employees 41
- 51-200 employees 19
- 11-50 employees 2
- 201-500 employees 1
Senior Data Scientist (команда вклады)
Builds ML models to personalize savings offers: predictive models on tabular data and NLP pipelines (fine-tuning transformers, entity extraction, text classification) using Python, PyTorch/TensorFlow, and SQL.
Middle/Senior Data Scientist (Транзакционный банкинг B2C)
Build and deploy ML models for B2C credit-card products: propensity scoring, NLP on customer chats/reviews, credit-limit management, and churn prediction.
ML-разработчик/Data Scientist (портал Рамблер)
Builds and tests LLM-based algorithms to generate questions, answers, and summaries for Rambler’s media portals, using RAG pipelines, prompt engineering, and vector search.
Middle/Senior Data Scientist (Транзакционный банкинг B2C)
Build ML models for B2C banking: propensity scoring, NLP on client feedback, credit-limit management, and churn prediction, then ship production-ready code via MLOps pipelines.
Data Scientist в команду LLM
Build and fine-tune large language models for Avito’s products, optimizing training pipelines and inference speed for production-scale NLP systems.
Data Scientist
Data Scientist builds ML models and solutions end-to-end for fintech clients, from scoping to deployment and monitoring, using Python, PySpark and ML/DL algorithms.
Junior/Middle Data Scientist (NLP / агенты)
Build and improve agent-based RAG systems to enhance customer experience with personalized AI solutions, using Python, PyTorch, and NLP techniques.
Data Scientist
Build and deploy ML models for credit risk scoring and fraud detection using Python, SQL, and gradient boosting; work with large credit-history datasets in production.
Senior Data Scientist (Торговое финансирование)
Builds and deploys LLM-based AI agents that automate trade-finance workflows, integrating with internal services and documents to handle complex business scenarios end-to-end.
Senior NLP Data Scientist (ИИ-агенты)
Build and deploy AI agents for process optimization in banking, focusing on NLP tasks like semantic search, classification, and LLM fine-tuning (SFT, RAG) using Python and frameworks like PyTorch and LangChain.
Senior Data Scientist
Senior data scientist leading a small team to build and improve an AI copilot for bank staff, focusing on LLM/NLP models for risk management and customer dialogue.
Data Scientist
Build, train, and deploy ML/DL models (including computer vision) to solve business tasks, focusing on data prep, feature engineering, and production monitoring.
Data Science (LLM/NLP)
Develops and integrates LLM/NLP solutions, fine-tunes models, builds RAG systems, and optimizes inference pipelines for product deployment, focusing on Python, LangChain, and vector databases.
Стажер Data scientist
Internship role building and preprocessing text datasets for RAG knowledge bases, including parsing PDF/DOCX/HTML and chunking, while working with transformer architectures and HuggingFace models.
Стажер Data Science
Intern in Sber’s pricing team building ML models (regression, classification, time-series) to optimize deposit pricing for legal entities, moving models from Jupyter to production.
Team Lead Data Scientist (играющий тренер) | финтех
Lead a small data-science team in fintech SMB lending, building credit-risk models (PD/LGD) and maintaining a shared analytics platform; day-to-day hands-on coding in Python/SQL plus mentoring and sprint planning.
Data Scientist (финтех, X-Sell / CRM) | Москва
Builds and maintains ML models (gradient boosting, time-series) for bank CRM cross-sell/up-sell campaigns, validates A/B tests, and collaborates with clients to deploy scoring solutions.
Middle data scientist (команда CRM и модели оптимизации)
Middle data scientist builds ML models for CRM and retail banking: customer segmentation, product recommendations, churn prediction, and NLP for transactional/text data.
Lead Data Scientist
Lead a data-science team building models and metrics to analyze consumer behavior, using time-series, NLP, and LLMs to forecast trends and detect anomalies.