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- Tasks: Join us as a Data Scientist to develop AI tools for analysing corporate reports.
- Company: Be part of an innovative social network focused on AI and compliance solutions.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Make an impact by automating compliance processes and enhancing your tech skills.
- Qualifications: Experience in text analysis, Python, and NLP libraries is essential.
- Other info: Remote work available; apply with your latest CV!
The predicted salary is between 36000 - 60000 £ per year.
We are currently looking for a Data Scientist (m/f/d) for an AI LLM Project.
Project description: To develop an AI-powered application that automates the analysis, classification, and semantic processing of annual combined corporate reports, with a focus on compliance with regulatory standards such as IFRS and ESRS.
Tasks (performed independently):
- Building of a scraping and text preparation module for extracting content from combined reports by taking into consideration information and requirements provided by the client in advance based on own knowledge and experience.
- Implementation of a search indexing and retrieval system for efficient information access.
- Classification of text segments according to regulatory frameworks (IFRS, ESRS).
- Development of a matching engine to link regulatory descriptions to actual document content.
- Development of a text consistency checking algorithm.
- Integration of Named Entity Recognition (NER) with a labeling interface for additions.
- Analysis of evaluation methods for the rewriting and rewording capabilities of large language models (LLMs) for editing the documents.
- Creation of a user-facing interface for the above tasks.
- Documentation of the results and presentation (online meeting) to client for a sign-off and handover.
- Technical consultation of end users with respect to the developed tool and methods based on own expertise.
Client provides all necessary information, access to the systems and requirements in advance.
Skills:
Must haves:
- Experience in quantitative text analysis.
- Proficiency in Python programming and relevant NLP libraries (e.g., spaCy, NLTK, sbert).
- Experience in developing and deploying Python code in MS Azure or Snowflake environment.
- English (spoken and written).
Nice haves:
- Experience in programming with LLM inference APIs.
- Background in software development or corporate finance.
- Knowledge of Microsoft Azure services (AI Foundry, AI Search, Batch, Blob storage, Function, ML Service, Key Vaults, etc.); Knowledge of Microsoft Office backends such as SharePoint and Outlook APIs.
- Proficiency in German.
We are looking forward to hearing from you. Please apply with your most recent CV.
Data Scientist LLM (m/f/d) employer: Michael Bailey Associates
Contact Detail:
Michael Bailey Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist LLM (m/f/d)
✨Tip Number 1
Familiarise yourself with the specific regulatory frameworks mentioned in the job description, such as IFRS and ESRS. Understanding these standards will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Brush up on your Python programming skills, especially with NLP libraries like spaCy and NLTK. Consider working on a small project that involves text analysis to showcase your practical experience during discussions.
✨Tip Number 3
If you have experience with Microsoft Azure, be prepared to discuss specific services you've used, such as AI Foundry or ML Service. Highlighting your hands-on experience with these tools can set you apart from other candidates.
✨Tip Number 4
Engage with the data science community online, particularly around LLMs and text analysis. Participating in forums or attending webinars can provide insights and connections that may benefit your application process.
We think you need these skills to ace Data Scientist LLM (m/f/d)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative text analysis and Python programming. Include specific projects or roles where you've used NLP libraries like spaCy or NLTK, as well as any relevant experience with MS Azure or Snowflake.
Craft a Strong Cover Letter: In your cover letter, explain why you're interested in the Data Scientist position and how your skills align with the job requirements. Mention your familiarity with regulatory frameworks like IFRS and ESRS, and any experience you have with LLM inference APIs.
Showcase Relevant Projects: If you have worked on projects related to text classification, search indexing, or document analysis, be sure to include these in your application. Provide brief descriptions of your role and the technologies you used.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Scientist role.
How to prepare for a job interview at Michael Bailey Associates
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and relevant NLP libraries like spaCy and NLTK. Bring examples of past projects where you've implemented quantitative text analysis or developed applications in MS Azure or Snowflake.
✨Understand Regulatory Standards
Familiarise yourself with IFRS and ESRS regulations, as these are crucial for the role. Be ready to explain how you would approach the classification of text segments according to these frameworks during the interview.
✨Demonstrate Problem-Solving Abilities
Think of specific challenges you've faced in previous roles related to text processing or data analysis. Prepare to discuss how you overcame these challenges and the impact of your solutions.
✨Prepare for Technical Questions
Expect technical questions about building scraping modules, search indexing systems, and Named Entity Recognition. Brush up on these topics and be ready to explain your thought process and methodologies.
