Senior Data Scientist II
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What you'll do
- Data Analysis and Modeling: Perform advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes.
- Data Collection and Preparation: Collect, clean, and preprocess large datasets, ensuring data quality and reliability.
- Machine Learning and AI: Develop and implement machine learning algorithms and AI solutions to solve complex business problems.
- Data Visualization: Create informative and compelling data visualizations to communicate results and insights to stakeholders effectively.
- Collaboration: Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify opportunities and address business challenges.
- Research and Innovation: Stay up-to-date with the latest trends and techniques in data science and contribute to the development of innovative solutions.
- Model Deployment: Assist in the deployment of machine learning models into production environments.
- Documentation: Maintain comprehensive documentation of projects, models, and code for knowledge sharing and reproducibility.
What they're looking for
- Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
- Proven experience (4-6 years) working in data science, machine learning, or AI, with a track record of delivering impactful projects.
- Proficiency in programming languages such as Python, as well as relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with generative AI models and techniques (e.g., LLMs, GANs) for content generation.
- Expertise in prompt engineering for fine-tuning language models like GPT-4 or similar models.
- Familiar with RAG and related tunning & evaluation approaches
- Strong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques.
- Exceptional problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication skills, including the ability to convey complex technical concepts to non-technical stakeholders.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Would you like to be part of a team that delivers high-quality software to our customers?
Do you enjoy ensuring the quality of software products delivered?
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
The Data Scientist role 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:
Data Analysis and Modeling: Perform advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes.
Data Collection and Preparation: Collect, clean, and preprocess large datasets, ensuring data quality and reliability.
Machine Learning and AI: Develop and implement machine learning algorithms and AI solutions to solve complex business problems.
Data Visualization: Create informative and compelling data visualizations to communicate results and insights to stakeholders effectively.
Collaboration: Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify opportunities and address business challenges.
Research and Innovation: Stay up-to-date with the latest trends and techniques in data science and contribute to the development of innovative solutions.
Model Deployment: Assist in the deployment of machine learning models into production environments.
Documentation: Maintain comprehensive documentation of projects, models, and code for knowledge sharing and reproducibility.
Requirements:
Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
Proven experience (4-6 years) working in data science, machine learning, or AI, with a track record of delivering impactful projects.
Proficiency in programming languages such as Python, as well as relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Experience with generative AI models and techniques (e.g., LLMs, GANs) for content generation.
Expertise in prompt engineering for fine-tuning language models like GPT-4 or similar models.
Familiar with RAG and related tunning & evaluation approaches
Strong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques.
Exceptional problem-solving skills and the ability to work independently and as part of a team.
Excellent communication skills, including the ability to convey complex technical concepts to non-technical stakeholders.
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.
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