yandex
policyexpert
Страна
Великобритания
+500% приглашений

Откликайтесь
на вакансии с ИИ

Ускорим процесс поиска работы
LeadГибридПолная занятость

Lead Data Scientist

Оценка ИИ

Отличная позиция в компании-лидере рынка с современным стеком (GCP, Vertex AI) и фокусом на GenAI. Привлекательный соцпакет, включая бюджет на обучение и доступ к эксклюзивным мероприятиям, а также гибридный формат работы в Лондоне.


Вакансия из Quick Offer Global, списка международных компаний
Пожаловаться

Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует сочетания глубоких технических знаний (ML, GenAI, GCP) и лидерских качеств для управления командой и взаимодействия со стейкхолдерами. Высокая планка ответственности за архитектуру решений и бизнес-результаты в регулируемой сфере страхования.

Анализ зарплаты

Медиана100 000 £
Рынок85 000 £ – 120 000 £
Оценка ИИ

Зарплата в объявлении не указана, но для позиции Lead Data Scientist в Лондоне рыночный диапазон составляет £85,000 – £115,000 в год. Предложение Policy Expert, вероятно, находится в этих пределах, учитывая масштаб компании и уровень ответственности.

Сопроводительное письмо

Dear Hiring Team at Policy Expert,

I am writing to express my strong interest in the Lead Data Scientist position. With extensive experience in building end-to-end machine learning pipelines and a proven track record of translating complex business problems into scalable data products, I am excited about the opportunity to drive growth within your Home, Motor, and Pet insurance divisions. My background in Python and SQL, combined with a passion for mentoring teams, aligns perfectly with your mission to leverage proprietary technology for a 'wow' customer experience.

I am particularly drawn to your focus on real-time ML engineering and GenAI. Having worked closely with ML engineers in previous roles to deploy models into production, I understand the nuances of creating efficient, optimized code within a GCP environment. I am eager to bring my expertise in A/B testing and statistical modeling to Policy Expert and help define the product roadmap for your next chapter of ambitious growth.

+250% к просмотрам

Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в policyexpert уже сейчас

Присоединяйтесь к лидеру страхового рынка Великобритании и возглавьте разработку инновационных ML-решений в Policy Expert!

Описание вакансии

Policy Expert – Lead Data Scientist 

🚀Are you ready to transform the insurance industry? 

Policy Expert is a forward-thinking business that loves to get things done. Leveraging proprietary technology and smart data, we offer reliable products and a wow customer experience. 

Having achieved rapid growth since being founded in 2011, we’ve won over 1.5 million customers in Home, Motor and Pet insurance and have been ranked the UK’s No.1-rated home insurer by Review Centre since 2013. 🏆 

Hear from our team about what it's like working at Policy Expert ✨ 

About our Data Science Team 

This is an exciting time for us as we expand our Data Science capabilities to support our ambitious growth plans.  We are embarking on a new chapter where we are increasing the use of data science and real-time ML engineering techniques to take our market leading models to the next level. And the customer is at the centre of this ambition. We have a plethora of datasets and cutting-edge technologies that can (and should!) be leveraged to create propositions that customers will rely on and love. 

Your day to day: 

As a Lead Data Scientist you will be building predictive statistical models and machine learning models and pipelines to drive business growth. You will work with ML Engineers to ensure those are deployed in production and delivering real value. As a leader in your area, you will also act as bridge between the business stakeholders and the data science team. Activities will include: 

  • Developing data science and ML solutions (including GenAI) to drive growth, solve problems and increase automation across the business.
  • Work within a cross-functional team (product managers, ML engineers, analysts) to deliver business goals + help define the product roadmap
  • Influence and input into priorities using data to quantify new opportunities.
  • Design and monitor A/B tests isolate the impact of initiatives.
  • Be a champion of data science and ML, communicating its value to colleagues across the business.
  • Mentor less experienced data scientists and contribute to the growth of the data science community

Who are you: 

  • End-to-end experience in designing and building data products using large datasets. Working closely with machine learning engineers to do this would be a plus but not required
  • Ability to apply knowledge in statistics and machine learning to real world problems which has had quantitative impact on the business
  • Nice to have experience with creating solutions using GenAI
  • A desire to interact with stakeholders and translating business problems into practical solutions
  • Good team working and communication skills with ability to explain complex techniques to non-technical audience.
  • Demonstrate in-depth knowledge of data science tools and techniques, which you can use to solve problems creatively and to create opportunities for the business.
  • Good programming skills with Python and good working knowledge of SQL and experience querying large datasets.
  • A passion for both hands-on data work and leading teams to produce high-quality output.
  • Able to work with Data Engineers to identify the data engineering requirements for a data science product.
  • Understand the need to cleanse and prepare data before including it in data science products
  • Understand software architecture and how to write efficient, optimised code.
  • Knowledge of the insurance industry would be an advantage but not essential.
  • Ideally you will have experience working with the GCP vertex AI, or similar services.

Benefits: 

📍 This role will be based in our London office in a 50/50 Hybrid mode. 

💸 We match your pension contributions up to 7% 

🏥 Private medical & Dental cover 

📚 Learning budget of £1,000 a year + Study leave (with encouragement to use it) 

😁 Enhanced maternity & paternity  

🚉 Travel season ticket loan 

🎟️ Access to a wide selection of London O2 events and use of a Private Lounge 

🌈 Employee Wellbeing Programme 

🚪 Prayer room in Office 

What We Stand for and Next Steps“We pride ourselves on being an equal opportunity employer. We treat all applications equally and recruit based solely on an individual’s skills, knowledge, and experience. The quality and growing diversity of our team is a testament to this commitment”  

At Policy Expert, we are committed to fostering an inclusive and supportive environment for all candidates. If you require any reasonable adjustments during the interview process to accommodate your needs, please do not hesitate to let us know. We are dedicated to ensuring every candidate has an equal opportunity to succeed and will work with you to provide the necessary support. 

We aim to be in touch within 14 working days of your application – you will be notified if successful or unsuccessful. Please be encouraged to apply even if you do not meet all the requirements. 

Useful links: 

Glassdoor | Trust Pilot

+400% к собеседованиям

Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Python
  • SQL
  • Machine Learning
  • Generative AI
  • Google Cloud Platform
  • Vertex AI
  • A/B Testing
  • Statistics
  • Data Engineering
  • Software Architecture

Возможные вопросы на собеседовании

Проверка опыта внедрения моделей в реальный бизнес и понимания жизненного цикла разработки.

Расскажите о самом сложном ML-продукте, который вы довели от идеи до продакшена: с какими техническими и организационными трудностями вы столкнулись?

Вакансия упоминает GenAI как желаемый навык; важно понять, как кандидат видит практическое применение технологии.

Какие конкретные кейсы использования GenAI вы видите наиболее перспективными для оптимизации процессов в страховании (Home/Motor insurance)?

Lead-позиция подразумевает работу с бизнесом.

Как вы подходите к приоритизации задач в бэклоге, когда требования стейкхолдеров конфликтуют с техническими ограничениями или качеством данных?

Оценка навыков наставничества.

Опишите ваш подход к менторству младших специалистов: как вы помогаете им расти технически, сохраняя при этом темп поставки задач?

Проверка инженерной культуры.

Как вы обеспечиваете воспроизводимость и мониторинг качества моделей после их деплоя в продакшен, особенно в режиме реального времени?

Похожие вакансии

brightflag
Не указана

Lead Data Scientist

LeadУдалённоИрландия
Python · NLP · Machine Learning · Generative AI · Transformers · PyTorch · TensorFlow · Keras · Scikit-learn · NumPy · SciPy · Docker · AWS · Git · LangChain · LlamaIndex · RAG
+17 навыков
celonis
Не указана

Lead Consultant - Data Science & Artificial Intelligence

LeadГибридИспания
SQL · Python · R · MATLAB · Machine Learning · Artificial Intelligence · Data Mining · Process Mining · Big Data · Data Science · Business Intelligence · Process Automation
+12 навыков
externaljobboards
Не указана

Lead Machine Learning Engineer

LeadУдалённоБолгария
Machine Learning · Generative AI · AWS SageMaker · AWS Lambda · AWS Step Functions · CI/CD · Test Driven Development · Infrastructure as Code · Python · MLOps
+10 навыков
externaljobboards
Не указана

Lead Machine Learning Engineer

LeadУдалённоБолгария
Machine Learning · Generative AI · AWS SageMaker · AWS Lambda · AWS Step Functions · CI/CD · Test Driven Development · Infrastructure as Code · Python · MLOps
+10 навыков
externaljobboards
Не указана

Lead Machine Learning Engineer

LeadУдалённоБолгария
Machine Learning · Generative AI · AWS SageMaker · AWS Lambda · AWS Step Functions · CI/CD · Test Driven Development · Infrastructure as Code · Python · MLOps
+10 навыков
kaizengaming
Не указана

Data Science Team Lead

LeadГибридПортугалия
Python · Machine Learning · Deep Learning · MLOps · OOP · Spark · PySpark · Azure · Databricks · Feature Engineering · EDA
+11 навыков
более 1000 офферов получено
4.9

1000+ офферов получено

Устали искать работу? Мы найдём её за вас

Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!

policyexpert
Страна
Великобритания