4 дня назад
Lead Data Scientist (ML)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Scientist (ML): Providing technical leadership for production-ready machine learning solutions across modelling, deployment, lifecycle management, and technical assurance with an accent on scalable cloud-based data science, reproducibility, and reliability. Focus on reviewing technical designs, guiding complex modelling challenges, and building robust ML solutions with Python, SQL, and modern data architecture.
Location: Hybrid role requiring attendance at least 3 days per week at GSIQ in Solihull, UK
Company
A rapidly growing global fitness and conditioning company building products, services, and experiences for its community.
What you will do
- Provide technical leadership for data science initiatives, including modelling approaches and solution design.
- Translate business use cases into production-ready machine learning solutions.
- Lead the full data science lifecycle from problem framing and modelling through deployment and optimisation.
- Define standards for experimentation, validation, documentation, and reproducibility.
- Review technical designs and implementations, provide direction, and give technical sign-off.
- Mentor data scientists and collaborate with Data Architecture, ML Engineering, Data Engineering, and BI teams.
Requirements
- Extensive experience delivering production-grade, commercially impactful data science or machine learning solutions.
- Experience as a senior technical lead, reviewer, or technical sign-off authority.
- Strong experience building machine learning solutions on GCP, AWS, or Azure.
- Advanced Python and SQL skills, with applied knowledge of regression, classification, clustering, and time-series forecasting.
- Experience with production ML deployment and lifecycle management, plus strong knowledge of data warehousing, data modelling, and modern data architecture.
- Excellent communication skills for explaining technical decisions to non-technical stakeholders.
Nice to have
- Experience with recommender systems or personalisation.
- Familiarity with MLOps and production machine learning practices.
- Experience improving technical standards through influence rather than authority.
- Experience in ecommerce or retail.
Culture & Benefits
- Performance-based bonus opportunity.
- Funded healthcare, life assurance, pension contributions, and enhanced family leave.
- 25 days of holiday, an additional birthday day, and bank holidays.
- Flexible benefits including an EV salary-sacrifice scheme, dental insurance, cycle-to-work scheme, technology scheme, and holiday trading.
- Employee discounts, cashback offers, wellbeing support, and long-service awards.
- Solihull office benefits include gym membership, onsite lunch and coffee bars, and EV charging points.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →