Lead Data Scientist

Reposted 7 Days Ago
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Shanghai, Shanghai Municipality, Shanghai, CHN
In-Office
Senior level
Information Technology • Legal Tech • Analytics
The Role
Lead and mentor a data science team to design, build, and maintain predictive models and scalable data products. Conduct experiments on large datasets, especially NLP/LLM and RAG, translate findings into actionable insights, collaborate cross-functionally, and oversee statistical models, data architectures, and adoption of state-of-the-art techniques.
Summary Generated by Built In

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.

About the Role

We are seeking a skilled Lead Data Scientist to join our team and drive data-driven strategies , conduct experiments on large datasets to evaluate the feasibility, results, and performance of NLP& LLM (Large Language Model). This DS make sound engineering decisions and improve software development practices with an eye for performance and reliability.

Responsibilities:

  • Lead and mentor a team of data scientists and analysts to develop predictive models and algorithms.
  • Design and implement advanced data analysis, and produce actionable insights to improve business operations and strategies.
  • Collaborate with cross-functional teams to understand business problems and develop solutions to address them.
  • Develop scalable and efficient data-driven solutions and products.
  • Communicate analytical findings and insights to stakeholders in a clear and actionable manner.
  • Stay updated with state-of-the-art data science techniques and methodologies, and integrate them into the team's work.
  • Oversee the creation and maintenance of statistical models and data architectures.

Requirements:

  • Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Proven experience (8+ years) as a Data Scientist, Data Analyst, or similar role, with at least 3 years in a leadership position.
  • Strong expertise in statistical modeling, LLM, RAG, machine learning, and predictive analytics.
  • Proficiency in programming languages such as Python, R, or Scala.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and the ability to convey complex data concepts to non-technical audiences.
  • Experience in [industry or specific area relevant to the role] is a plus.

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

- Medical and Life Insurance: Coverage for Medical and life risk.

- Long-Service Award: Recognition for loyalty and dedication.

- Marriage and New Baby Gifts: Celebratory tokens for special life events.

- Festivals and Birthday Gifts: Spreading joy on occasions that matter.

- Annual Medical Check-up: Prioritizing employee well-being through regular health check-ups.

- Flexible Benefits via CIIC Platform: Personalized benefits accessible through a user-friendly platform.

- Paid Time Off: Annual Leave, Flex Family Care Leave, Birthday Leave, Marriage Leave, Compassionate Leave, Medical and Hospitalization Leave, Examination Leave Gazetted Public Holiday

- Family Care leave (Maternity/Paternity Leave and Adoption Leave)

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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 or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

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.

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EEO Know Your Rights.

Skills Required

  • Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field
  • Proven experience (8+ years) as a Data Scientist, Data Analyst, or similar role, with at least 3 years in a leadership position
  • Strong expertise in statistical modeling, LLM, RAG, machine learning, and predictive analytics
  • Proficiency in programming languages such as Python, R, or Scala
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills and ability to convey complex data concepts to non-technical audiences
  • Experience in industry or specific area relevant to the role

RELX Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.

  • Retirement Support Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
  • Leave & Time Off Breadth Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.

RELX Insights

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The Company
HQ: London
10,001 Employees
Year Founded: 1880

What We Do

RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.

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