Lead Data Scientist

Company Description

Ready to make a difference? Experian has evolved into a global tech company and leader in data and analytics. We’re passionate about unlocking the power of data in order to transform lives and create opportunities for consumers, businesses and society. We’re a constituent of the FTSE 30 and for more than 125 years we’ve helped economies and communities flourish – and we’re not done.

Discover the Unexpected – Our 22k amazing employees in 30+ countries believe the possibilities for you, and the world, are growing. We’re investing in the future, through new technologies, talented people and innovation so we can help create a better tomorrow. To do this we employ ‘big-thinkers’ and ‘can-doers’ that share our purpose #uniquelyexperian

Job Description

Experian is looking for a Sr. Data Scientist with credit bureau data and programming skills to join their CIS Analytic Consulting group.   In this role you will collaborate with team members in delivering best in class consulting and strategy innovation via data-driven exploratory analysis.  The candidate is required to use advanced programming and analytical skills to solve a variety of complex business problems across multiple industries and through all phases of the consumer credit lifecycle (prospecting, acquisition, portfolio management, and collections).

Key Responsibilities:

• Leverage your analytical skills and experience to evaluate, understand and interpret credit bureau data.

• Optimize existing code and develop new algorithms to improve the processing time of analysis in a true Big Data environment.

• Serve as internal SME in Python and Spark coding on a Big Data platform for an analytic consulting team.

• Communicate with and deliver presentations to end users on model deployment and monitoring results.

• Produce testing to support the implementation of machine learning models into a production.

• Aid in analytical support for high profile modeling, analytical and machine learning engagements and initiatives.

• Support the development of new analytical and data products and services to support business objectives.

• Collect business requirements and make recommendations on machine learned based solutions.

Qualifications

• Degree, preferably in Statistics, Mathematics, Computer Science, or related field.

• Minimum of 3+ years related experience, preferably in Financial Services.

• Strong knowledge of statistical analysis software / data analysis experience including data manipulation, including experience in Python and Spark.

• Proven track record for leading and executing complex analytical projects and new product development from concept to final delivery.

• Expert analytical skills to evaluate understand and interpret data.

• Experience solving challenging business problems with significant business impact.

• Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to both a technical and non-technical audience.

• Excellent communication, organization, interpersonal and presentation skills.

Additional Information

Our uniqueness is that we truly celebrate yours. Experian’s culture and people are key differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering… the list goes on. Experian’s strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian’s DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.