Sr. Associate 2 - Data Scientist

About the job

Proposed designation: Sr. Associate 2 - Data Scientist Role type: Individual contributor Reporting to Associate Director As a Data Scientist, you will play a crucial role in developing advanced AI models and solutions that drive innovation and provide actionable insights for global network. This role requires a deep understanding of AI methodologies, a strong ability to work with large datasets, and the skills to translate complex business problems into AI-driven solutions. Key responsibilities include: 1. AI Model Development : • Design, develop, and implement machine learning models and algorithms that address specific business challenges, leveraging Generative AI, NLP, and other AI technologies. • Develop and fine-tune advanced AI models, including deep learning models, to improve performance and accuracy across various use cases. • Experiment with and apply state-of-the-art techniques in Generative AI (e.g., GPT, GANs) to create innovative solutions for complex problems. 2. NLP and Text Analytics: • Develop NLP models for tasks such as sentiment analysis, entity recognition, text summarization, and language translation. • Work on text processing pipelines, including tokenization, stemming, lemmatization, and vectorization techniques. • Implement NLP solutions using frameworks such as SpaCy, BERT, GPT, and other transformer models. 3. Data Analysis and Feature Engineering: • Conduct exploratory data analysis (EDA) to understand data patterns and relationships. • Engineer and select features that improve the performance of AI models, using domain knowledge and statistical techniques. • Handle large datasets, ensuring data quality, consistency, and completeness for model training and evaluation. 4. Collaboration and Cross-Functional Work: • Collaborate with AI engineers, data engineers, and product managers to translate business requirements into technical solutions. • Work closely with stakeholders across KPMG member firms to understand their needs and ensure the AI solutions meet business objectives. • Participate in code reviews, share best practices, and mentor junior data scientists to foster a collaborative and high-performance environment. Model Deployment and Optimization: • Deploy AI models in production environments, ensuring they are scalable, reliable, and maintainable. • Continuously monitor model performance, retraining and updating models as necessary to maintain accuracy and relevance. • Optimize models for performance, speed, and resource efficiency, particularly when working with cloud platforms such as Azure. 6. Research and Innovation: • Stay up-to-date with the latest advancements in AI, ML, NLP, and related fields, applying new methodologies to enhance existing models. • Conduct research to identify new AI use cases and opportunities for innovation within KDN AI Foundry. • Publish findings, contribute to technical documentation, and present insights to stakeholders and at industry conferences. 7. Data Governance and Security: • Ensure all AI models and data processing activities comply with KPMG’s data governance policies and industry regulations. • Implement best practices for data privacy, security, and ethical. Educational qualifications: •Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. • Advanced certifications in AI/ML, Data Science, or NLP are advantageous. Work experience: • 6+ years of experience in data science, with a focus on AI, ML, and NLP technologies. • Proven track record of developing and deploying AI/ML models in production environments. • Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, Keras, and transformer models like BERT and GPT. •Experience working with large datasets, data preprocessing, and feature engineering. Skills: •Strong proficiency in programming languages such as Python, R, or Scala, with a focus on AI/ML libraries. •Deep understanding of machine learning algorithms, statistical methods, and NLP techniques. •Familiarity with cloud platforms (e.g., Azure, AWS) and big data technologies (e.g., Hadoop, Spark). •Excellent problem-solving skills and the ability to work independently and as part of a team. •Strong communication skills, with the ability to present complex technical concepts to non-technical stakeholders.

Requirements

• AI Model Development
• NLP
• Data Analysis
• Collaboration

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field

Preferred Technologies

• AI Model Development
• NLP
• Data Analysis
• Collaboration