Senior Data Scientist, Innovation Lab

Remote from: USA
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Data Science & Analytics
Employment type: Full Time,
Job posted: 17 Jul 2026
Apply before: 17 Aug 2026
Experience level: Senior
Views / Applies: 29 / 2

Experian unlocks the power of data to create opportunities for consumers, businesses and society.

Actively Hiring

AI Summary

Experian Innovation Lab seeks a Senior Data Scientist to research and develop analytical solutions, prototype new products, and evaluate data assets. The role involves creating advanced machine learning and deep learning models from diverse structured and unstructured data sources. Candidates should have a PhD in a quantitative field and 2+ years of experience in AI, data science, or predictive modeling. Proficiency in Python, deep learning frameworks (PyTorch, Keras, TensorFlow), and big data tools (PySpark, Hadoop) is required. The position offers a flexible work environment and competitive benefits.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires a PhD and advanced expertise in machine learning and deep learning, but 2+ years experience is relatively low, indicating a high but not extreme difficulty.

Salary Analysis

AI Insight The offered salary is not specified, but based on market data for a Senior Data Scientist in the US, the median is around $150,000. This aligns with industry standards for a role requiring a PhD and specialized skills in ML/DL.

Core Skills Required

machine learning deep learning Python PyTorch TensorFlow PySpark Hadoop NoSQL data science AI

Cover Letter Sample

Dear Hiring Manager,

I am excited to apply for the Senior Data Scientist position at Experian Innovation Lab. With a PhD in Machine Learning and over 3 years of experience in developing predictive models and deep learning solutions, I am confident in my ability to drive innovation at Experian. My expertise in Python, PyTorch, and PySpark has enabled me to build scalable models that deliver actionable insights. I am particularly drawn to the collaborative and research-focused environment of the Innovation Lab, where I can contribute to cutting-edge data products. Thank you for considering my application.

Sample Interview Questions

Describe a time you used deep learning to solve a business problem. What was the approach and outcome?

At my previous role, we needed to improve fraud detection. I implemented a CNN for transaction pattern recognition, reducing false positives by 20% and saving the company $500K annually.

How would you handle a dataset with high dimensionality and missing values?

I would use dimensionality reduction techniques like PCA or autoencoders, and impute missing values using KNN or model-based methods, ensuring robust feature engineering.

Explain the difference between bagging and boosting in ensemble learning.

Bagging builds models independently and averages them to reduce variance, while boosting builds models sequentially, each correcting the previous errors, to reduce bias.

How do you evaluate the performance of a machine learning model in production?

I monitor metrics like accuracy, precision, recall, and AUC, and also track business KPIs. A/B testing and drift detection are used to ensure model performance over time.

Describe your experience with big data tools like PySpark and Hadoop. Give an example of a project.

I used PySpark to process terabytes of clickstream data, performing feature extraction and training a random forest model on a Hadoop cluster, achieving scalable and efficient processing.

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian’s departments to enhance relationships with clients and acquire strategic datasets. Experian® is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable.

As a Senior Data Scientist at the Experian Innovation Lab, your role will be to research and develop analytical solutions, prototype new products, and evaluate data assets. You must bring an experience in predictive modeling, machine learning, and deep learning to this position. You will report into the Sr. Principal Data Scientist

You’ll have opportunity to:

Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Innovate with tools designed for data processing and information retrieval.
Dissect and document vast datasets, analyzing them to highlight patterns and insights.
Solve complex challenges by developing impactful algorithms.
Ensure model excellence by validating performance scores and analyzing Return on investment and benefits.

Qualifications

PhD degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
2+ years of experience in AI, data science, or predictive modeling
Proficiency in multiple programming languages, including Python
Experience in deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.
Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas.
Experience with large data analysis using pySpark
Experience with LLMs and the relevant tools in the Generative AI domain.
Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra.
Experience modifying and applying advanced algorithms to address practical problems
Experience with online, mobile marketing analytics
Experience with GPU programming

Additional Information

Benefits/Perks:

Great compensation package and bonus plan
Core benefits including medical, dental, vision, and matching 401K
Flexible work environment, ability to work remote, hybrid or in-office
Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

Our uniqueness is that we celebrate yours. Experian’s people first, inclusive and purpose driven culture is multi award-winning; World’s Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Recruitment Fraud Awareness – Experian’s recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers..

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