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Sberbank grows Data Science, Machine Learning and AI expertise across all blocks and departments. Internal Sberbank Data Science Community hosts more than 150 professionals and we are always looking for new colleagues!

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Chief Data Scientist

Moscow, Corporate Business
Tasks:

Position of Chief Data-scientist is open for a person with extensive experience in model development and delivery, data processing and knowledge of best practices, as well as leadership skills and the ability to manage and build a team. CDS will lead the process of identification, prototyping and delivery of Data Science projects.

Requirements:
  • Higher technical or mathematical education;
  • More than 3 years of experience in the field (Data Science);
  • Successfull implemention experience with confirmed business result (banks, telecom, retail, etc.);
  • Strong knowledge of statistics and Machine Learning, experience with Data Science / Machine Learning stack in Python;
  • Expericence with distributed systems technology stack.

Data Science Team Lead

Moscow, Finance
Tasks:

Head of DS department with applications in financial management: ALM risk management, business planning, cost management, bank product pricing, etc. Managing the implementation of Data Science projects, as well as participation in the competence center organization and a unified information field for Data Science in the "Finance".

Requirements:
  • Higher technical or mathematical education;
  • More than 3 years of experience in the field (Data Science);
  • Successfull implemention experience with confirmed business result (banks, telecom, retail, etc.);
  • Understanding of core business processes in the financial organization;
  • Strong knowledge of statistics and Machine Learning, experience with Data Science / Machine Learning stacks in Python / R.

(Lead) Data Scientist

Moscow, Sberbank AI Lab
Tasks:

Leading AI chat-bots development based on deep learning, generative models for NLP, as well as keeping an eye on other approaches and recent developments. Carrying out NLP and DL research. Development of Proof-of-concept prototypes based on DL methods.

Requirements:
  • Established experience with generative DL models development at least 1 year, experience with chatbot development;
  • Knowledge of modern neural network architectures (seq2seq, attention models, generative models, etc.);
  • Confident application skills with modern DL modeling toolkit (PyTorch, TensorFlow, etc.).

Data Science Manager

Moscow, Strategy
Tasks:

Project management and analytical support for DS projects within the department, including modeling, predictive analytics and working with large data: methodological and practical tasks, modeling of relationships for KPI and factors affecting the Bank's performance, efficiency of managers and employees, as well as visualization and results presentation.

Requirements:
  • Higher education in Mathematics, Computer Science or Data analytics;
  • Relevant work experience at least 2 years;
  • Analytical, data-driven approach to problem solving;
  • Knowledge of statistics and probability theory;
  • Understanding of BI, up-to-date knowledge of trends in Big Data, Data Science, Machine Learning.

Senior Analyst

Moscow, Finance
Tasks:

R&D project participation in applied mathematical algorithms and methods of Data Science, Machine Learning and Optimization, participation in documenting and presenting successfully implemented projects with their results.

Requirements:
  • Higher technical or mathematical education;
  • At least 1 year of experience in the field (Data Science);
  • Participation in implementation of Data Science solutions;
  • Understanding statistics and Machine Learning, working with Data Science / Machine Learning stack on Python / R;
  • Knowledge of MS SQL.

Analytics team

Analyst / Senior Analyst / Project Manager / Senior Project Manager / Executive Director
Moscow, Office of Validation
Tasks:

A wide range of vacancies within the model validation department. Future colleagues will be engaged in development of different analytical tools for statistical and ML models analysis and validation, testing their tools in the banks framework of working processes (risk analysis, marketing strategies, automation and monitoring), and create approaches and methodologies of black box models validation.

Requirements:
  • Higher technical or mathematical education;
  • Confident knowledge of statistics, econometrics, Machine Learning algorithms;
  • Confident programming in R / Python;
  • Experience in working with databases (Oracle PL / SQL).

Data Scientist

Moscow, "Mass Personalization"
Tasks:

Solving and participating in R&D tasks, operational support of implemented models: cross-sell (forecast of the response), collection of ATMs (cash-machines) and VSP, efficiency forecast, reliability, dismissal, employee promotion, etc.

Requirements:
  • SQL, Teradata & Hadoop;
  • SAS, Miner & Guide;
  • Python.

Data Scientist

Moscow, "Digital platform"
Tasks:

Participate in the development of the largest text and voice assistant in Russia.

Requirements:
  • Mathematics, Machine Learning, NLP;
  • Ability to solve the Data Science / Machine Learning problems and thoroughly evaluate theie solution quality;
  • Confident skills with Python / R and modern library stack;
  • Experience with Map Reduce and Hadoop;
  • Kaggle experience and knowledge of Reinforcement Learning - a plus.

Data Scientist

Moscow, Risks
Tasks:

Wanted: a Data Science specialist with a strong data expertise (Oracle, Hadoop) that is able to support and assist the team in the projects infrastructure development of the subdivision, as well as the creation and development of data analysis and quality control.

Requirements:
  • Higher technical or mathematical education;
  • Experience with Oracle databases;
  • Experience of data processing in Hadoop (Hbase, Hive, Scala, Spark).

Data Engineer

Moscow, Strategy
Tasks:

Preparation, clearing and preprocessing of data, working with external data sources. Ensuring reliability of data storage and infrastructure. Organization and support of data delivery to analytical systems.

Requirements:
  • Relevant work experience at least for 2 years;
  • Knowledge of SQL and experience in query optimization on any DBMS;
  • Experience in development and implementation of ETL-process architecture;
  • Confident skills with the stack of Big Data technologies: Hadoop, Hive, Spark.

Data Engineer

Moscow, Corporate Business
Tasks:

Participation in ETL processes. Internal service development and optimization for processing large amounts of data.

Requirements:
  • Higher technical or mathematical education;
  • At least 1 year of experience as Data Engineer;
  • Understanding of the development cycle;
  • Knowledge and experience with the Java / Scala stack, Big Data (Hadoop, MapReduce, Spark, Hive), SQL, Oracle DBMS, Teradata.

Data Engineer

Moscow, Block T / Center for Applied Data
Tasks:

Verification and understanding of the economic value of research on different amounts of huge and diverse data owned by Sberbank.

Requirements:
  • Practical experience as an analyst, developer or engineer with hands deep in the data;
  • Knowledge of SQL;
  • Experience of writing data analysis scripts on R, Python or Scala;
  • Skills of data visualization.