Senior Data Scientist (Document Search)

JR United Kingdom; United Kingdom; Remote; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior Applied Data Scientist to join their innovative team on a fully remote basis. This role focuses on leveraging advanced NLP techniques for risk and fraud detection. The ideal candidate will possess a PhD or a Master's degree with significant experience in machine learning and data science. You will be responsible for experimenting with state-of-the-art models, collaborating with cross-functional teams, and driving impactful results. If you are passionate about applied research and eager to make a difference in a dynamic environment, this opportunity is perfect for you.

Qualifications

• PhD or Master's with relevant experience in data science or ML.
• Strong programming skills in Python and experience with ML frameworks.

Responsibilities

• Experiment with NLP approaches for risk and fraud applications.
• Communicate effectively with stakeholders and follow ML best practices.

Skills

Python

Natural Language Processing (NLP)

Machine Learning (ML)

Feature Engineering

PyTorch

TensorFlow

LangChain

Education

PhD in relevant discipline

Master’s degree with comparable experience

Tools

PyTorch

TensorFlow

Job description

Social network you want to login/join with:

col-narrow-left

Client:

Greybridge Search & Selection

Location:

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

18

Posted:

28.04.2025

Expiry Date:

12.06.2025

col-wide

Job Description:

Role: Senior Applied Data Scientist

Contract: Outside IR35 - Initial 9 months (Fully Remote)

I am currently immediately looking for a vastly talented Applied Data Scientist who has experience in Document search to join my client on a fully remote contract.

As an Applied Research Scientist you will be working on NLP applications for risk, fraud, and investigation products. Your job will be to:

• Experiment with different state-of-the-art as well as traditional NLP approaches to find the best solution for the given problem.
• Independently determine appropriate data and modelling choices.
• Effectively communicate with technical and non-technical stakeholders.
• Follow best practices for ML experimentation and MLOps.

Required Qualifications:

• PhD in a relevant discipline or Master’s plus a comparable level of experience
• Experience with traditional ML models and feature engineering.
• Experience with LLMs.
• Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain).
• Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback.

For immediate consideration, please apply today