Data Scientist II

Data Scientist-II

Would you like to be part of a team that delivers high-quality software to our customers?

Are you a highly visible champion with a ‘can do’ attitude and enthusiasm that inspires others?

About the business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our government vertical, our solutions assist government agencies and law enforcement to drive insights from complex data sets, improving operation efficiency, increasing program integrity, discovering, and recovering revenue, and making timely and informed decisions to enhance investigations. You can learn more about LexisNexis Risk at the link below.

https://risk.lexisnexis.com/government

About our team: Our team values creativity and the application of cutting-edge technology in AI and ML to enhance data quality, engineering efficiency, and overall productivity.

About the role:

Data Scientist II in our vibrant and forward-thinking Innovation Engineering Group, you will be at the forefront of using advanced data analysis and modelling techniques to drive innovative solutions.

Responsibilities:

• Participating in end-to-end modelling projects, handling large variety and volume of data.
• Conducting exploratory data analysis, feature construction, and feature engineering.
• Developing and evaluating advanced predictive models using Python, Kera’s, TensorFlow, and other relevant technologies.
• Focusing on specialty areas such as Anomaly Detection, Time Series Forecasting, NLP and Generative AI.
• Deploying models and monitoring their performance post-deployment.
• Conducting proof-of-concept research to explore new modelling techniques and methodologies.
• Collaborating closely with software engineers and other team members to integrate models into larger systems.
• Continuously seek to innovate and bring cutting-edge solutions to our customers.
• Developing high-quality data-driven solutions.
• Collaborating effectively within a multidisciplinary team environment.
• Staying abreast of the latest advancements in data science and related technologies.
• Delivering presentations and reports on findings and translating complex concepts into actionable insights.
• Mentoring junior data scientists and contribute to team knowledge sharing.
• All other duties as assigned.

Requirements:

• 1+ years of Data Science experience
• BS Engineering/Computer Science/Data Science or equivalent experience required.
• Strong problem-solving and analytical skills.
• Proficiency in Python and libraries/frameworks like Kera’s and TensorFlow.
• Strong understanding of machine learning algorithms and statistical modelling techniques.
• Experience in handling large datasets and proficiency in data manipulation.
• Ability to translate complex data science concepts into practical solutions.
• Excellent communication skills, both oral and written.
• Designing test strategies, plans and processes, methodologies and supporting documentation for functional and non-functional areas
• Quick learner

Learn more about the LexisNexis Risk team and how we work here

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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.

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