Senior Data Scientist

Tufin Technologies; United Kingdom; Remote; GBP 60,000 - 80,000; Full time

Job summary

A tech-driven firm in the United Kingdom is seeking a seasoned Machine Learning Engineer with 5+ years of experience. The role involves conducting exploratory data analysis, designing machine learning models, and delivering AI solutions collaboratively. Ideal candidates will have strong statistical skills and proficiency in Python and related tools like TensorFlow and PyTorch. Join us to make a significant impact on our initiatives.

Qualifications

• 5+ years of experience in machine learning, working with tabular and text data.
• Proven ability to translate research projects into business impact.
• Experience with classic ML techniques including classifications and clustering.

Responsibilities

• Conduct exploratory data analysis (EDA) to uncover insights from customer data.
• Design and optimize machine learning and GenAI models.
• Develop AI modules and ML pipelines for backend architecture.

Skills

Machine learning

Natural Language Processing (NLP)

Interpersonal skills

Applied statistics

Education

MSc or PhD in Stats/CS/Math/EE

Tools

Python

TensorFlow

PyTorch

Hugging Face Transformers

OpenAI API

Job description

Explore & Innovate: Dive into exploratory data analysis (EDA) and uncover the secrets hidden in customer data. Spearhead strategic research of new cutting-edge machine learning models.

Build & Optimize: Design solutions that align with the company’s core mission by fine-tuning machine learning and GenAI models.

Integrate & Deliver: Develop robust AI modules and ML pipelines that supercharge our backend architectures.

Collaborate & Create: Work hand-in-hand with customers and product teams to deliver excellent solutions that drive business value. Generate and test working hypotheses in unexplored territories.

Requirements

• 5+ years of experience in machine learning, working with tabular and text data.
• Track record of translating research projects into business impact.
• MSc or PhD in a related field—Stats/CS/Math/EE is an advantage.
• Experience with NLP, open-source LLMS, recommendation systems, and scalable classic ML (classifications and clustering), as well as similarity metrics.
• Excellent interpersonal skills and a strong collaborator.
• Solid applied statistics skills, such as descriptive statistics, distributions analysis, and statistical testing.

Proficient in Python:

• GenAI Magic: TensorFlow, PyTorch, Hugging Face Transformers, Sentence Transformers, OpenAI API.