Associate data scientist - genai

The Opportunity

We are seeking a highly skilled and motivated Associate Data Scientist to join our team. As an Associate Data Scientist, you will be responsible for developing and implementing machine learning models, using Generative AI techniques, such as applying prompt engineering, working with RAG applications, fine-tuning LLM models, and deploying applications on cloud platforms like Azure. Your expertise in these areas will play a crucial role in driving data-driven decision-making and enhancing our business processes.

Responsibilities

1. Develop and implement machine learning models to solve complex business problems, using a variety of algorithms and techniques.
2. Clean, preprocess, and analyze large datasets to extract meaningful insights and patterns.
3. Apply prompt engineering techniques, build with RAG (Retrieval-Augmented Generation) applications, and fine-tune language models to improve their performance in specific tasks.
4. Collaborate with multi-functional teams to identify and define business requirements, ensuring alignment with data science objectives.
5. Apply generative AI techniques to generate synthetic data, create realistic simulations, and enhance data analysis capabilities.
6. Design and complete experiments to validate and optimize machine learning models, ensuring accuracy, efficiency, and scalability.
7. Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring seamless integration and scalability.
8. Stay up-to-date with the latest advancements in machine learning, generative AI, prompt engineering, RAG applications, and cloud technologies, and apply them to enhance our data science capabilities.
9. Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows.
10. Communicate complex technical concepts and findings to both technical and non-technical partners, ensuring clear understanding and agreement.

What we are looking for

1. Bachelor's, Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, or a related field.
2. Proven experience as a Data Scientist including internships or coops, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications.
3. Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
4. Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks (e.g., PyTorch, scikit-learn, Hugging Face).
5. Strong problem-solving skills and the ability to think critically and creatively to develop innovative solutions.
6. Excellent communication and collaboration skills, with the ability to work effectively in multi-functional teams.

What can we offer you?

1. A competitive salary and benefits packages.
2. A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
3. A focus on growing your career path with us.
4. Flexible work policies and strong work-life balance.
5. Professional development and leadership opportunities.

Our commitment to you

1. Values-first culture: We lead with our Values every day and bring them to life together.
2. Boundless opportunity: We create opportunities to learn and grow at every stage of your career.
3. Continuous innovation: We invite you to help redefine the future of financial services.
4. Delivering the promise of Diversity, Equity, and Inclusion: We foster an inclusive workplace where everyone thrives.
5. Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.