Senior Data Scientist

Description
Shield is a global startup, with offices in TLV, NYC, LDN, and LIS.

We're rapidly growing and looking for another important piece of the puzzle.

Is it you?

We are looking for a highly motivated candidate to join our
Data Science
team - If you are passionate about
NLP
\
LLMs
and have 4+ years in the field,this is for you

Let's Get Down To Business
About the Role
Shield FC is a leading innovator in the financial compliance space, serving some of the world's largest banks and financial institutions. As a Senior Data Scientist at Shield, you'll be at the forefront of this critical mission - to help these organizations meet regulatory obligations by monitoring vast volumes of employee communications.

Our team is responsible for developing advanced NLP\LLM based solutions that can detect rare and subtle indicators of suspicious behavior hidden within massive streams of unstructured text. This is a high-impact role that requires balancing accuracy, scalability, and cost-efficiency in a production environment.

What You'll Do

• Lead data science project E2E: Research, experiment, develop and productize advanced NLP, LLM and autonomous agent solutions in various domains such as classification, summarization, translation, information retrieval and AI assistant.
• Use advanced deep learning and large language models, to enhance Shield's ability to find the needle in a haystack in the world of structured & unstructured data of financial electronic communication.
• Conduct rigorous experimentation, analysis, and optimization to ensure performance, efficiency, and scalability.
• Develop processes, tools and frameworks to monitor and analyze model performance and data accuracy
• Innovate, develop, and test state-of-the-art approaches to solve our challenging problems: domain adaptation, fine-tuning, prompt engineering, zero- and few-shot learning, autonomous agents, using open and close large language models.
• Assist and mentor other team members in the implementation and research
• Collaborate closely with domain experts, product and engineering teams to translate research breakthroughs into scalable commercial products
• Identify the latest technology to improve our AI capabilities in a variety of languages and help shaping our AI roadmap

Requirements
Experience and skills

• M.Sc. in Computer Science or a related field. Ph.D. - an advantage
• 5+ years of hands-onindustry experience in NLP, deep learning, large language models, generative AI, and prompt engineering.
• Proficiency in Python – a must.
• Proven track record of designing and operating AI/ML systems in production, including considerations for performance, observability and monitoring - a must
• Hands-on expertise with modern ML frameworks (PyTorch, Hugging Face Transformers) and GenAI toolkits (e.g., LangChain, LlamaIndex); proficiency with cloud ML platforms (AWS, GCP, Azure) and MLOps best practices
• Experience with ASR – an advantage
• Team player

Oh hey, you made it all the way here
So, in case you were wondering, Shield is how compliance teams in financial services can finally read between the lines to see what their employee communications are really saying.

Our platform analyzes digital interactions to fight financial crimes and mitigate a toxic workplace environment.

Shield is a post Series B startup ($35M) with some of the largest financial organizations in the world as investors and customers.

Shielders listen more intently. Pay closer attention to the details. Make the extra effort. Care. It's what we do at Shield every day. And not just for our customers, but for everyone we work with. It's all about creating a world where people understand and trust each other.

Shield is set to do good in the world, we help protect market integrity and people's financial assets.