Experian

Lead Machine Learning Engineer

19 May 2024
Remote
Apply Now
Deadline date:
£45000 - £84000

Job Description

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 Lead Machine Learning Engineer with financial services experience, programming skills and Applied Machine Learning expertise to join their Experian Software Solutions Quantitative Analytics Team. In this role you will help lead the advancement of Experian Ascend, Experian’s latest industry disrupting innovation. This position will require you to design and collaborate with members across the Experian Software Solutions organization to deliver product innovations leveraging your unique knowledge and skill set in Machine Learning and Artificial Intelligence in our Big Data Platform. You are 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). Be ready to challenge yourself and like-minded professionals, to keep Experian on the leading edge of analytic innovation. 

Key Responsibilities: 

  • Assist in the directing of collaborative efforts between Engineering and the Quantitative Analytics teams in the design and implementation of Machine Learning and AI application in a true big data environment. 

  • Architect ML and AI solutions and assist in the agile management of projects to bring whiteboarding to reality. 

  • Mentor Machine Learning Engineer in the best practices of data science and machine learning to ensure successful career growth of your fellow Experian teammates. 

  • Lead efforts in the development of automation into the Experian process allowing for Scientists and Engineers to focus their attention on thought provoking innovative initiatives rather than redundant tasks. 

  • Research and integrate new data assets from disparate resources into Experian’s ML and AI platform. 

  • Produce implementation plans and testing to support the implementation of decision internal as well as external analytic tools. 

  • Bottom Line – Drive innovation in technology at Experian. 

Qualifications

Qualifications 

  • Advanced degree (MS or PhD) in computer science, engineering, mathematics or related field 

  • Minimum of 7 years of industry experience in machine learning and/or data science. 

  • Expert knowledge in machine learning algorithms and processes (such as xgboost, neural networks, hyperparameter tuning, clustering, graph algorithms) 

  • Experience in modern language models (e.g. Transformers) with a strong preference for use of generative AI models (GPT APIs, Fine Tunings, Reinforcement Learning) applied to code translation/generation, recommendation engines etc. 

  • Expert knowledge in Python (e.g., pandas, numpy, sklearn, pytorch), Pyspark and experience in large-scale data processing, distributed computing, and cloud platforms (e.g., AWS) 

  • Proven track record for leading and executing complex modeling/machine learning projects and new product development from concept to final delivery. 

  • Excellent problem-solving skills, independent analytical thinking, and attention to detail. 

  • Excellent communication, organization, interpersonal skills. 

  • Demonstrated ability to manage multiple simultaneous projects of significant complexity. 

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.

Experian Careers – Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Related Jobs