Data Scientist II at LexisNexis applying statistical analysis and building predictive models for fraud and credit risk. Collaborating with teams to enhance existing products and provide actionable insights.
About the role
- Data Scientist turning data into actionable insights and AI-powered solutions at Humblebee. Collaborating with product teams to build data-driven digital products with business, design, and tech.
Responsibilities
- Turn data into actionable insights and AI-powered solutions
- Help translate business challenges into technical solutions
- Explore datasets to uncover patterns and identify opportunities
- Design and run experiments and proofs of concept
- Build, evaluate, and deploy machine learning models
- Integrate and fine-tune existing generative models
- Aggregate, process, and visualize data
- Work closely with engineers, designers, and business-oriented teammates
- Advise clients on leveraging data-driven solutions
- Guide solutions from prototype to production
Requirements
- 5+ experience as a Data Scientist or Data Engineer
- A degree in some of the areas: Computer Science, Data Science, Statistics, Engineering, or a related field
- Proficiency in Python and LangChain as well as modern cloud and data platforms (such as Azure, AWS, Databricks and Microsoft Fabric)
- Familiarity with CI/CD pipelines, versioning, and model monitoring
- Expertise in feature engineering, model evaluation, data visualization, data cleaning and processing
- Awareness of responsible AI, governance, and security principles.
Benefits
- Flexible working arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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