Job summary
Job post source
This job is directly from Experian
Job overview
The Data Scientist role at Experian Innovation Lab involves developing advanced machine learning and deep learning analytical solutions to enhance client relationships and strategic data acquisition.
Responsibilities and impact
The candidate will craft machine learning models, analyze diverse data sets, design efficient data structures, develop impactful algorithms, validate model performance, and communicate findings to support business profitability.
Compensation and benefits
The position offers a salary range of $129,232 to $232,617, a 20% bonus, 20 vacation days plus 12 paid holidays, flexible work schedule, and comprehensive benefits.
Experience and skills
Requires an advanced degree in a quantitative field, at least 1 year of experience in AI or data science, proficiency in Python, experience with deep learning frameworks, machine learning methodologies, big data tools like Spark, and knowledge of Generative AI and advanced language models.
Work environment and culture
Experian promotes a people-first culture with a focus on diversity, equity, inclusion, work/life balance, development, collaboration, and wellness, recognized as a top workplace globally.
Company information
Experian is a global data and technology company with 22,500 employees across 32 countries, specializing in data analytics across multiple industries and listed on the London Stock Exchange.
Team overview
The role is within the Experian Innovation Lab, a research and development unit collaborating across teams to innovate and enhance client data solutions, reporting to the VP of Data Science.
Job location and travel
The job is remote, offering flexible work arrangements.
Unique job features
The role involves working on cutting-edge AI and machine learning projects including Generative AI and advanced language models, with opportunities to innovate using diverse data sources and technologies.
Company overview
Experian is a global information services company specializing in credit reporting and data analytics. They generate revenue by providing credit reports, scores, and related services to consumers, businesses, and organizations, helping them make informed financial decisions. Founded in 1996, Experian has grown through strategic acquisitions and technological advancements, establishing itself as a leader in the industry. They operate in multiple regions, including North America, Latin America, the UK, and EMEA, and are known for their commitment to data security and innovation.
How to land this job
Position your resume to highlight your expertise in machine learning, deep learning, and predictive modeling, emphasizing your experience with Python and tools like TensorFlow, PyTorch, and scikit-learn to align with Experian's Innovation Lab needs.
Focus on showcasing your ability to work with large datasets using Spark, Hadoop, and NoSQL technologies, and demonstrate your skills in developing advanced language models and applying Generative AI tools as specified in the job description.
Apply through multiple channels including Experian's corporate careers site, LinkedIn, and relevant job boards to maximize your application visibility and increase your chances of landing an interview.
Connect with current data scientists and innovation team members at Experian on LinkedIn; start conversations by referencing recent Experian projects, asking about their experience with Generative AI applications, or expressing enthusiasm for their Innovation Lab's impact on data-driven solutions.
Optimize your resume for ATS by incorporating keywords such as 'machine learning,' 'deep learning,' 'predictive modeling,' 'Python,' 'Spark,' 'Generative AI,' and 'advanced algorithms' to ensure your resume passes automated screenings effectively.
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