Data Scientist

Greybridge Search & Selection; London; Remote; GBP 150,000 - 200,000; Part time

Job summary

A global tech business is seeking a talented Applied Data Scientist with expertise in GenAI and NLP for an initial 9-month contract. The role involves working on innovative NLP applications within risk and fraud investigation sectors. Candidates should hold a PhD or equivalent experience in the field, with strong skills in machine learning and programming in Python.

Qualifications

• Strong experience in GenAI / NLP.
• Experience in Knowledge Graphs or Large Document Search.
• Experience with traditional ML models and feature engineering.

Responsibilities

• Experiment with state-of-the-art and traditional NLP approaches.
• Determine appropriate data and modeling choices.
• Communicate with stakeholders effectively.

Skills

Python

NLP

MLOps

Education

PhD in a relevant discipline

Master’s plus comparable experience

Tools

PyTorch

TensorFlow

LangChain

Job description

Greybridge Search & Selection provided pay range

This range is provided by Greybridge Search & Selection. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Greybridge Search & Selection

Partner & Director of Analytics Recruitment I Organiser & Founder of "Leaders In Data" Roundtable & CIO Roundtable Group I Company scale up expert

Applied Data Scientist (NLP) 9 Months Initial - Outside IR35 - Fully Remote - £350-400pd DOE.

We are partnering with a global tech business who are looking for a talented Data Scientist with strong experience in GenAI / NLP to join them on a contract basis

As an Data 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 in Knowledge Graphs or Large Document Search
• Experience with traditional ML models and feature engineering.
• Strong Experience with fine tuning, modelling and deploying LLMs - experience with RAG, IR, NER etc would also be very beneficial
• 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.

Please apply below for immediate consideration!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting

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