Senior Data Scientist (with Python exp.)

Luxoft; United States; Remote; USD 100,000 - 125,000; Full time

Job description

Project description

Description: We are seeking an experienced Data Scientist to join our team as a contractor. The successful candidate will work on developing a state-of-the-art NLP assistant for a large financial software platform. This role involves leveraging cutting-edge Generative AI technologies to create innovative solutions for data extraction, API integration, automated report generation, and more. The ideal candidate will have a strong background in data science, machine learning engineering, and prompt engineering.

Responsibilities

1. Implement NLP Solutions: Utilize NLP models to develop features for a financial software platform using Python.
2. Prompt Engineering: Create, refine, and optimize prompts for generative AI models to achieve desired outputs for various financial use cases.
3. Data Extraction: Build systems to extract relevant data from databases using NLP techniques and integrate this data into workflows.
4. API Integration: Develop and maintain integrations with various APIs to enhance the capabilities of the NLP assistant.
5. Automated Report Generation: Utilize generative AI to automate the creation of detailed and accurate financial reports.
6. Collaboration and Communication: Work closely with software engineers, business analysts, and other stakeholders to understand requirements and deliver high-quality solutions.
7. Continuous Improvement: Stay up to date with the latest advancements in NLP and generative AI to continuously improve the assistant's capabilities.

Skills

Must have

• Education: Degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field, with a strong emphasis on AI and machine learning.
• Experience: Proven experience in data science, machine learning engineering, and NLP. Experience with financial software is a plus.
• Technical Skills:
• Proficiency in Python and experience with data science libraries.
• Experience with prompt engineering and fine-tuning large language models.
• Familiarity with SQL.
• Knowledge of API development and integration.
• Experience delivering applications in Python within a Kubernetes context.
• Soft Skills: Excellent problem-solving skills, attention to detail, and ability to work independently as well as part of a team.
• Communication: Strong verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Nice to have

Experience or knowledge in the financial industry is a plus.