Director - Data Science - Gen AI
Bengaluru (SDC) - Eagle Ridge at Embassy Golf Links Business Park
Nike
Inspiration und Support für alle Athlet:innen mit innovativen Produkten, Experiences und Services.Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
DirectorJob Description & Summary
A career in our Analytics Insight practice, within Cloud and Digital services, will provide you with the opportunity to focus on the cutting edge of developments in the Cloud, Big Data and the world of AI/ML, which bring new and innovative services to some of the leading firms globally.We help our clients adopt technologies and environments which can transform the business and operational environments within the enterprise.
Our team helps organizations transform their Data and Analytics infrastructure, modernize applications and data management to help shape the future of business. As part of the team, you’ll focus on various data and analytics platforms, cloud environments, architecture, application development, application modernization, data warehouse, data management and industry solutions to deliver innovation for our clients.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
Job Title - Director - Data Science
Exp - 15+ yrs
Required Skills:
- Proficiency in GenaAI based application development and a focus on leveraging AI and ML technologies
- Strong Experience in Python programming and related frameworks (e.g., Django, Flask)
- Extensive experience in building scalable and robust applications using Python
- Solid understanding of data engineering principles and technologies (e.g., ETL, data pipelines, data warehousing)
- Familiarity with AI and ML concepts, algorithms, and libraries (e.g., TensorFlow, PyTorch)
- Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services
- Experience with database systems (e.g., SQL, NoSQL) and data modeling
- Strong problem-solving and analytical skills, with the ability to translate business requirements into technical solutions
- Excellent leadership and team management skills, with the ability to motivate and develop a high-performing team
- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams
- Self-motivated and proactive, with a passion for learning and staying up-to-date with emerging technologies and industry trends
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
YesJob Posting End Date
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data Data management Data pipelines Data warehouse Data Warehousing Django Engineering ETL Flask GCP Generative AI Machine Learning NoSQL Pipelines Python PyTorch SQL TensorFlow
Perks/benefits: Career development Transparency
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