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Data Scientist III

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RELX Group

2mo ago

  • Job
    Full-time
    Mid Level
  • Science
    Data
  • Cape Town
  • Quick Apply

AI generated summary

  • You need a relevant undergrad degree with 4+ years of experience or a master's with 2+. Proficiency in Big Data, machine learning, and predictive modeling using Python/R is essential.
  • You will analyze large datasets, develop machine learning models, communicate findings to stakeholders, and apply statistical methods while collaborating with your team.

Requirements

  • Have at minimum undergraduate in relevant field and 4+ relevant work experience. Or a master in a relevant field and 2+ of relevant work experience.
  • Have experience in relevant skills and software packages
  • Have fluency with presentation and document programs such as PowerPoint, Word, Excel
  • Have experience working with Big Data Technologies and applying large scale Machine Learning techniques within these technologies.
  • Have experience in building predictive models using Python, R or similar software package.

Responsibilities

  • Assembling, merging and parsing large amounts of data to detect meaningful trends and patterns.
  • Developing and implementing machine learning models and algorithms to solve complex business problems.
  • Interpreting, documenting and successfully communicating analytic work and/or results to stakeholders, including those in non-analytic roles.
  • Analyzing and mining large amount of data using multiple analytic stacks such as Python, Linux, SQL etc.
  • Applying Machine Learning, Data Mining, and/or Statistical methods to build advanced models. Able to roll into production with senior guidance.
  • Keeping the team’s priorities in mind when working independently.

FAQs

What qualifications are required for the Data Scientist III position?

A minimum of an undergraduate degree in a relevant field with 4+ years of relevant work experience, or a master's degree in a relevant field with 2+ years of relevant work experience is required.

What programming languages and tools should I be familiar with for this role?

Candidates should be experienced in Python, R, SQL, and should have familiarity with Big Data technologies and machine learning techniques.

What are the main responsibilities of the Data Scientist III?

Responsibilities include assembling and analyzing large data sets, developing and implementing machine learning models, communicating analytic work to stakeholders, and applying statistical methods to build advanced models.

Is prior experience with machine learning necessary for this role?

Yes, candidates should have experience developing and implementing machine learning models and algorithms to solve complex business problems.

Does the company offer benefits for work/life balance?

Yes, the company promotes a healthy work/life balance with flexible working hours, well-being initiatives, shared parental leave, study assistance, and sabbaticals.

What types of benefits does the company provide?

Benefits include Medical Aid, a Retirement Plan inclusive of Risk Benefits, modern family benefits, and Study Leave.

Are there opportunities for professional growth within the company?

Yes, the company offers support for continuing education and development through initiatives like study assistance.

Will I need to communicate with non-analytic stakeholders?

Yes, part of the role involves successfully communicating analytic work and results to stakeholders in non-analytic roles.

How does the company support employees with disabilities?

The company is committed to providing a fair and accessible hiring process and offers accommodations for applicants with disabilities.

Is LexisNexis an equal opportunity employer?

Yes, LexisNexis is an equal opportunity employer and considers qualified applicants for employment without regard to various characteristics protected by law.

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RELX Group

A global provider of information-based analytics for professional and business customers across industries.

Technology
Industry
10,001+
Employees
1880
Founded Year

Mission & Purpose

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. Please note that RELX does not contact people through social media and offer them jobs or contracts. Please contact your local law enforcement agency if you have been victimized by a scammer. For careers, access https://www.relx.com/careers/why-relx