Data Science - Customer Data Platform Manager
Join to apply for the Data Science - Customer Data Platform Manager role at Accenture UK & Ireland.
This role offers an exciting opportunity to work at the forefront of data science and AI, helping clients leverage advanced machine learning and generative AI models to transform their businesses.
About Us
Accenture Song accelerates growth and value for our clients through customer relevance across ideation, execution, technology, and marketing strategies. We operate globally, serving over 40 industries in more than 120 countries, with a focus on data and AI-driven transformation.
Team Overview
Join our Data and AI practice to work on innovative projects involving Strategy, Data Science, Data Architecture, AI Engineering, and Visual Insights. Collaborate with global teams to deliver end-to-end business solutions and grow your career in a dynamic environment.
Your Responsibilities
1. Create and implement data science solutions that enhance client customer engagement and operational efficiency.
2. Partner with clients and internal teams to understand business needs and develop AI strategies.
3. Design, develop, and deploy machine learning models, including deep learning and generative AI architectures.
4. Conduct research to stay current with AI advancements and incorporate new techniques into projects.
5. Build reusable assets and best practices for AI solutions.
6. Communicate complex technical concepts to non-technical stakeholders.
7. Support sales activities with data science expertise.
Required Skills and Experience
* Proven experience in data science, machine learning, and analytics.
* Exposure to AI platforms like OpenAI, Hugging Face, Bedrock, etc.
* Proficiency in Python and experience with cloud services such as AWS, GCP, or Azure.
* Knowledge of database technologies and handling structured/unstructured data.
* Experience with ML libraries like TensorFlow, PyTorch, scikit-learn, etc.
* Understanding of LLMs, API integration, and deploying scalable AI solutions.
* Excellent communication skills and a proactive learning attitude.
Preferred Attributes
* Quick learner with creative problem-solving skills.
* Strong stakeholder relationship skills.
* Background in statistics, mathematics, or economics.
What We Offer
Competitive salary, performance bonuses, equity options, and extensive health and wellbeing benefits, including generous leave, flexible work policies, private healthcare, and more.
Flexibility for onsite client work is expected, with support for your work/life balance.
Additional Details
Seniority level: Mid-Senior level
Employment type: Full-time
Industry: IT Services and Consulting
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