RELX

Senior Data Scientist I

Beijing, China
Python NumPy Pandas SQL Machine Learning Deep Learning
Description

精算师(定价方向)/数据科学家-(北京)

关于我们:律商联讯风险信息公司(LexisNexis Risk Solutions,简称“律商风险”)致力于利用数据和高级分析功能,帮助企业和政府降低风险和改善决策,造福全球人民;并为保险、金融服务、医疗保健和政府等广泛行业提供数据和技术解决方案。律商风险于2015年在北京设立了现已成为其全资子公司的律商联讯(北京)信息技术有限公司。律商风险借助国际先进的大数据技术和产品理念,开发适合中国车险市场的数据和分析产品,助力车险行业提升工作流程效率,降低业务风险。

团队简介:作为全球分析团队的成员,我们服务于中国市场,全流程参与从数据价值评估,数据挖掘,分析建模,协助产品上线、验证与落地等全流程。团队提供机会迅速接触整个车险行业(大中小公司),迅速对车险行业建立全局观,并定期与集团130+数据科学团队进行交流学习,积极拓展国际视野。

工作地点:北京-朝阳区

岗位职责:

1. 车险行业深刻理解与经验,优秀沟通能力:基于对车险精算定价与市场定价的深入理解,与产品、销售、数据团队紧密合作,支持各类客户需求项目,包括产品验证、落地和沟通,确保项目顺利实施(此项工作内容占比不低于40%)。

2. 数据处理和数据价值评估:扎实的数据处理能力,能够高效应对各类复杂数据清洗与处理,为分析团队提供建模数据保障与支持,快速评估新数据源的价值。

3. 分析与建模:在理解客户需求和产品建设需求的基础上,参与产品项目建设,数据探查与价值评估、模型搭建、模型部署及相关分析工作,与产品团队紧密合作设计模型的应用方案,打造行业领先的分析类产品。

4.行业信息掌握和新建模方法学习与应用:关注国内外车险行业、保险精算行业、数据科学行业的最新进展,为团队提供来自于保险业态的最新资讯和数据科学在保险场景落地的新技术,协助准备相关演讲或宣传材料,提升公司的价值影响力。

岗位要求:

1. 本科及以上学历,至少3年以上在车险部、精算部或区域精算领域,从事精算定价建模工作的经验。

2. 灵活使用Python或SAS等工具,拥有GLMs统计回归算法、GBDT/XGBoost/LightGBM/CatBoost等机器学习算法的建模与项目经验。强调机器学习模型的理解与应用。

3. 具备扎实的大规模数据处理能力,深刻理解与应用numpy/pandas/sklearn等数据科学库,拥有数据清洗与数据标准化的丰富经验,能够高效率响应对数据处理、解析的各项需求。

4. 掌握SQL等数据库语言,灵活应用数据库语言处理数据,掌握Tableau或Power BI等数据可视化工具,完成分析与统计报表工作。

5. 具有敏锐的数据洞察和分析能力,严谨的逻辑思维能力,良好的文字表达及沟通能力,具备团队协作与分享精神,能够承受工作压力。

6. 有行业车险费率测算经验者优先考虑;在排名前十的保险公司从事精算定价工作者优先考虑;从事车险精算定价、数据科学或深度学习工作者优先。

Actuary (Pricing Focus) /Data Scientist - Beijing

About Us: LexisNexis Risk Solutions is committed to leveraging data and advanced analytics to help businesses and governments reduce risk and improve decision-making, ultimately benefiting people worldwide. We provide data and technology solutions across various industries, including insurance, financial services, healthcare, and government. In 2015, we established LexisNexis (Beijing) Information Technology Co., Ltd., which is now a wholly-owned subsidiary. Leveraging internationally advanced big data technology and product concepts, we develop data and analytics products tailored for the Chinese auto insurance market, helping the industry enhance workflow efficiency and reduce business risk.

Analytic Team Overview: As a member of the global analytics team, we serve the Chinese market, participating in the entire process from data value assessment, data mining, and analytical modeling to product validation and implementation. Our team provides opportunities to rapidly engage with the entire auto insurance industry (including large, medium, and small companies), quickly building a comprehensive understanding of the sector. We regularly exchange and learn from our 130+ data science teams globally, actively expanding our international perspective.

Location: Chaoyang District, Beijing

Responsibilities:

  • Deep Industry Understanding and Excellent Communication: Utilize profound knowledge of auto insurance technical pricing and market pricing to work closely with product, sales, and data teams. Support diverse customer test projects, including product test, implementation and client communication, ensuring smooth project delivery. This responsibility accounts for no less than 40% of the role.
  • Data Wrangling and Evaluation: Leverage strong data handling skills to do complex data cleaning and processing tasks, providing essential modeling support to the modeling needs of the analytics team and quickly evaluating the value of new data sources.
  • Analysis and Modeling: Based on a thorough understanding of client needs and product requirements, participate in project development, data exploration, value assessment, model building, deployment, and related analyses. Collaborate closely with the product team to design model application solutions, creating industry-leading analytical products.
  • Industry Knowledge and Continuous Learning: Stay informed about the latest developments in the auto insurance industry, actuarial field, and data science, providing the team with updates on new technologies and industry insights. Assist in preparing presentations or promotional materials to enhance the company's influence and value.

Requirements:

  • Bachelor's degree or higher, with at least 3 years of experience in actuarial pricing modeling in an auto insurance department, actuarial department, or regional actuarial field.
  • Proficiency in Python or SAS, with experience in modeling and project work using GLMs (Generalized Linear Models), GBDT/XGBoost/LightGBM/CatBoost, or other machine learning algorithms, emphasizing a strong understanding and application of machine learning models.
  • Advanced data processing skills with a deep understanding of and experience in applying data science libraries such as numpy, pandas, and sklearn. Extensive experience in data cleaning and standardization, with the ability to efficiently respond to data processing and analysis requirements.
  • Proficiency in SQL and other database languages, with the ability to flexibly apply them for data processing. Familiar with Tableau or Power BI for data visualization, enabling completion of analysis and statistical reporting tasks.
  • Sharp data insight and analytical skills, rigorous logical thinking, strong written and verbal communication skills, and a collaborative team spirit with the ability to work under pressure.
  • Experience as a member of the CAA industry auto insurance rate calculation group is preferred; candidates with actuarial pricing experience at a top 10 insurance company will be given priority; experience in auto insurance actuarial pricing, data science, or deep learning is a plus.

At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups. 

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

Please read our Candidate Privacy Policy.

RELX
RELX
Analytics Business Information Systems Consulting Information Services Information Technology Insurance Risk Management

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