AI/Data Science Senior Analyst

As an AI/Data Science Senior Analyst at Accenture Marketing + Communications Data & Analytics team, your role is crucial in delivering high-value insights and analytics capabilities to empower Marketing + Communications through data-driven strategies. You will be responsible for ideating and developing innovative data science and AI solutions to provide actionable recommendations for clients, talent, and internal marketing teams. Collaboration with senior marketing stakeholders to understand business needs and leading teams of data scientists and engineers will be key to delivering high-quality solutions. **Key Responsibilities:** - Drive the development and execution of data-driven strategies to contribute to the organization's overall goals and business objectives. - Develop and implement AI/ML models to deliver data-driven insights and innovative solutions for business stakeholders. - Translate data-driven findings into clear and concise recommendations for technical and non-technical audiences, enabling strategic decision-making based on insights. - Analyze structured and unstructured data using advanced analytics and NLP techniques, visualizing findings intuitively. - Ensure data quality, integrity, and privacy by implementing best practices for data collection, processing, and storage. - Foster a collaborative work environment that encourages knowledge sharing and cross-team collaboration. - Write clean, modular, and well-documented Python code for model development and automation. - Support the integration of ML models into production using established MLOps practices and pipelines. - Stay updated with the latest trends in AI/ML, particularly in areas like LLM fine-tuning, FastAPI, and agent-based systems. **Qualifications Required:** - Education: Bachelor's or master's degree in a quantitative discipline (Computer Science, Statistics, Data Science, Engineering, or related field). - Work Experience: 2+ years of hands-on experience in applied machine learning or data science roles, with a preference for B2B marketing analytics experience. - Core Skills: Strong programming skills in Python with proficiency in libraries like Pandas, Scikit-learn, and NumPy. Solid understanding of statistical modeling, hypothesis testing, and evaluation metrics. Experience with classical machine learning techniques, model deployment, MLOps workflows, SQL, and digital marketing data sources and technologies. - Nice to Have Skills: Exposure to FastAPI, LLM fine-tuning, agentic AI, cloud platforms (GCP, AWS, Azure), and tools like Snowflake, BigQuery. - Other Requirements: Excellent communication, presentation, critical thinking, collaboration, attention to detail, project management, and relationship-building skills. Ability to influence leadership, prioritize projects, and operate with high energy and enthusiasm in a fast-paced environment. This role offers you the opportunity to be at the forefront of developing cutting-edge data science and AI solutions while collaborating with a diverse team to drive impactful results in a dynamic and challenging setting.,