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Data Scientist

То, что многие компании считают своим прибыльным активом, зачастую является скрытым корнем финансовых проблем. Задача департамента по работе с проблемными активами – вовремя выявить трудности у клиентов и помочь преодолеть их. Используя пе…

СБЕР · На сервисе с: 30.09.26 11:23

Зарплата не указанаРоссияг МоскваГибрид
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То, что многие компании считают своим прибыльным активом, зачастую является скрытым корнем финансовых проблем. Задача департамента по работе с проблемными активами – вовремя выявить трудности у клиентов и помочь преодолеть их. Используя передовые модели машинного обучения и искусственного интеллекта, мы создаем AI-профили клиентов, которые помогают сотрудникам быстрее разобраться в кейсе и выбрать наилучшую стратегию взаимодействия.

В рамках нашего центра ИИ и комплексных решений вектор развития ориентирован на концептуальное переосмысление процессов урегулирования, автоматизацию рутинных процессов и создание дополнительного дохода в рамках работы с проблемной задолженностью.

  • исследование клиентского опыта в рамках процессов оздоровления и взыскания, поиск «узких» мест в процессах и использование передовых инструментов для проведения локальных исследований (графовый анализ, LLM для поиска инсайтов, самовоспроизводящиеся ИИ-решения, disrupt-проекты)
  • регулярные встречи с Заказчиками для определения зон роста, предоставления непредвзятого взгляда на процессы и предложения к их трансформации
  • создание ИИ-решений, влияющих на клиентский опыт
  • построение чистого эксперимента и валидация ИИ-решения
  • проработка технологической реализации при поддержке команд разработчиков, data и OPS-специалистов
  • контроль внедрения ИИ-решения и последующего поведения решения в ПРОМ-контуре, анализ результатов внедрения
  • создание AI-агентов на базе LLM для оптимизации рутинных процессов:

  • оптимизация документальной и рутинной работы

  • речевая и текстовая аналитика взаимодействия с клиентом

  • выявление сущностей для автоматизации внутренних процессов

  • качественная суммаризация текста для составления профиля клиента

  • разработка и внедрение ML/AI-моделей:

  • оценки и прогноза финансового состояния клиента

  • подбор индивидуальных условий для урегулирования задолженности

  • антифрод и выявления мошенничества

  • скоринг клиентов

  • прогнозирование дефолта по обязательствам

  • What-If / Uplift моделирование и каскады моделей для выстраивания процессов с использованием ИИ

  • графовый анализ компаний, их руководителей и бенефициаров

  • анализ новостного контента и других источников информации о клиентах.

  • опыт работы 3+ лет в традиционных направлениях машинного обучения (ML), обработки естественного языка (NLP), глубокого обучения (DL)
  • знание библиотек и фреймворков: pandas, pyspark, catboost, pytorch, tensorflow, langchain/langgraph
  • опыт валидации AI-решений и их "боевого" пилотирования решений
  • прикладной опыт в использовании LLM, контроле качества ответов и выстраивания графовой архитектуры с использованием LLM tools / MCP
  • знания математической статистики и основ A/B-тестирования.

Будет плюсом:

  • опыт руководства проектами или самостоятельного обеспечения всего цикла производства ИИ-решения от гипотезы до реализации

  • знание основ финансового анализа и бухгалтеского учета

  • опыт курирования или наставничества, работа в крупных AI-проектах с смежными командами

  • английский язык — уровень Intermediate и выше

  • опыт в проектах, связанных с клиентским опытом / бизнес-анализом / исследованием очень больших данных

  • опыт использования AI-инструментов в разработке (LLM-ассистенты для написания и ревью кода, агенты для автоматизации рутинных операций, инструменты автодополнения вроде GitHub Copilot)

  • возможен гибридный формат работы, локация офиса пр-кт Кутузовский, 32 к3 стрА

  • ежегодный пересмотр зарплаты, годовая премия

  • корпоративный спортзал и зоны отдыха

  • более 400 образовательных программ СберУниверситета для профессионального и карьерного развития

  • расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа

  • гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ

  • подписка Прайм с возможностью совместного использования на трёх близких

  • вознаграждение за рекомендацию друзей в команду Сбера.

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