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    • Senior Data Scientist I - Durban - RELX

    RELX
    RELX Durban

    3 weeks ago

    RELX background
    Description

    Senior Data Scientist Role

    This is an opportunity to contribute to a team that works with diverse technologies, driving excellence with your proactive attitude and extensive experience in data science.

    About LexisNexis Legal & Professional

    LexisNexis Legal & Professional serves customers worldwide with 11,800 employees across 150 countries. We are part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a leader in deploying AI and advanced technologies to the legal market, improving productivity and transforming the business and practice of law.

    About the Senior Data Scientist Position

    As a Senior Data Scientist, you will define project scope with manager support and execute independently. You will also support junior staff development and be self-sufficient in executing basic methods, working with your team to deliver outcomes and develop best practices.

    Key Responsibilities:

    • Ensuring consistent application of best practices in data science to enhance model quality, reproducibility, and scalability within the team.
    • Providing technical guidance and mentorship to junior team members, fostering skill development and analytical growth.
    • Designing, developing, and deploying machine learning models and analytics solutions that address key business needs and improve decision-making.
    • Developing machine learning models, conducting in-depth data analysis, and building AI-driven features that create value for products and users.
    • Communicating data insights, model performance, and recommendations to stakeholders through clear, impactful presentations.
    • Participating in customer interactions to understand requirements, present data science solutions, and showcase analytical capabilities.
    • Working with cross-functional teams to implement data governance and strategy that ensure data integrity and support analytics goals.

    Requirements:

    • An undergraduate degree in a relevant field (preferably Master's or PhD).
    • At least 2+ years of relevant work experience in a data science role.
    • A solid background in Python, Scala, or Java.
    • Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms.
    • Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT, large language models, and prompt engineering.
    • Extensive knowledge of relational and NoSQL databases (e.g. Postgres, Elasticsearch/OpenSearch, AWS Neptune).
    • An understanding of data modeling principles and complex data models.
    • Proven knowledge of AWS, GCP, Azure, or other cloud platforms.

    Flexibility and Work-Life Balance

    We promote a healthy work-life balance across the organization. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and long-term goals.

    Benefits

    • Medical Aid
    • Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)
    • Modern family benefits, including adoption and surrogacy
    • Study Leave

    About the Business

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