Lead Data Scientist

The Data Science Lead will manage and mentor analytics team members while remaining hands-on with data science projects. Your role will involve leading EAMRM data science priorities collaborating with cross-functional stakeholders and ensuring alignment with regulatory and governance standards. You will also support innovation in GenAI and platform analytics leveraging big data cloud platforms and advanced modeling techniques.

You will report to the Director of Data Science and Gen AI.

What youll do:

• Lead and guide a team of innovation-focused data scientists. Partner with Leaders Analytic Consultants Engineers Account Executives Product Managers and external partners to bring new innovative solutions to market that provide impact to Experians broad client base
• Technical Execution-Develop and deploy models using Python or PySpark on big data cloud platforms (e.g. Ascend).Ensure adherence to model risk management and governance processes.
• Innovation & Strategy-Support GenAI and platform analytics innovation projects. Craft advanced machine learning analytical solutions and prototypes to extract insights from diverse structured and unstructured data sources. Articulate model processes and outcomes documenting and presenting findings and performance metrics and translating complex findings into actionable insights.
• Collaborate with Engineering Research and Data Science teams in the design and implementation of Machine Learning Dashboarding Ad Hoc Analysis and AI applications in a cloud-native big data (AWS) computing platform.
• Leverage Gen AI and model development tools to develop and maintain new models. Dissect and document vast datasets analyzing them to highlight patterns and insights. Develop and assess analytic tools developed internally and externally.
• Stay informed about regulatory changes technological advancements and model risk management processes and controls to ensure the technology stack meets all compliance requirements. Research integrate and test new data assets and software from different sources into Experians analytic platform.
• Gather feedback from internal and external clients to guide new product development feature prioritization and product evolution of tools and capabilities.

Qualifications :

What youll bring:

• 7 years of experience in AI data science or predictive modeling with a track record for managing complex hands-on analytical technology innovation and client-focused projects. Data science team management experience preferred
• Advanced degree in Machine Learning Data Science AI Computer Science or a related quantitative field
• Statistical modeling proficiency in at least one programming language with coding skills in Python and proficiency with distributed computing frameworks (AWS). Experience with large data analysis using Spark (PySpark preferred) and model development using Python or SAS
• Expertise with Hadoop and NoSQL related technologies such as Map Reduce Hive HBase MongoDB Cassandra. Solid understanding of ML algorithms (e.g. XGBoost GANs clustering graph algorithms hyperparameter tuning)
• Experience applying Generative AI-based tools and rapid prototyping of new concepts from ideation through early client success
• Proven experience managing analytics or data science teams.

Additional Information :

What you will get:

• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses learning materials and books.
• Work environment - excellent work conditions with friendly environment recognized team spirit and fun and quality recreation time.
• Social benefit package including life insurance food vouchers additional health insurance monthly flex allowance and internet coverage corporate discounts marriage and childbirth / adoption allowance Multisport card Sharesave plan Employee assistance program а birthday gift and many other benefits!
• Work-life balance - 25 days paid vacation 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
• Opportunity for Flexible working hours and Home Office.

Experian is an Equal opportunity employer. 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.

#LI-Hybrid

This is a hybrid remote/in-office role.

Experian Careers - Creating a better tomorrow together

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

Remote Work :

No

Employment Type :

Full-time