Senior Data Scientist (GenAI) - Customer Value Management

Job Title: Senior Data Scientist (GenAI) - Customer Value Management

Location: United Arab Emirates (UAE)

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent and innovation led company with 733,000 people serving clients in more than 120 countries.

Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology with unmatched industry experience, functional expertise and global delivery capability.

We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Accenture Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients succeed and build trusted, lasting relationships.

We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Responsibilities:

• Lead a cross-functional team, including data scientists, marketing experts and data engineering, to run upselling and cross-selling activities for our Client.
• Develop new use cases to increase sales and revenues of the B2B Customers of the Client. Develop and fine-tune predictive and adaptive models to make them intelligent, leveraging deep learning methods and architectures.
• Lead model development and guide team members in building, testing, and deploying ML models at scale.
• Inject GenAI capabilities/use cases in the day-by-day activities to boost the performances.

Minimum Requirements:

• PhD in GenAI / Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, or Applied Mathematics.
• Proven experience in data science, machine learning, and optimization models.
• Proficiency in Python, Spark, Scala, or R, using open-source frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of AI/ML/DL and statistical concepts.
• Effective technical communication skills for non-technical stakeholders.
• Experience mentoring junior associates.