Lead/Senior Data Scientist

EPAM; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology firm is seeking a Senior/Lead Data Scientist to develop and deploy AI models and solutions. The ideal candidate will have extensive experience with NLP, large language models, and cloud platforms. Responsibilities include building machine learning solutions and collaborating with business stakeholders to define project goals and technical requirements. This role offers benefits like medical insurance, a pension plan, and professional development opportunities.

Benefits

Employee Stock Purchase Plan

Private medical insurance

Learning and development opportunities

Free Wednesday lunch in-office

Qualifications

• Extensive experience applying data science methods including NLP and Generative AI.
• Expertise in object-oriented programming and critical machine learning libraries.
• Proven ability to ensure scalability and reliability of AI models.

Responsibilities

• Build innovative machine learning and AI solutions for business challenges.
• Tweak models for performance, accuracy, scalability, and reliability.
• Collaborate with business stakeholders to define project goals.

Skills

NLP

Large Language Models

Generative AI

Object-oriented programming

Machine learning libraries

Cloud platforms (Azure/AWS)

Tools

TensorFlow

PyTorch

scikit-learn

Job description

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

Are you passionate about Data Science and Artificial Intelligence? Do you thrive at the intersection of technical innovation and business strategy, finding satisfaction in translating complex ideas into scalable client-centric solutions? If so, we have an exciting opportunity for you.

As a Senior/Lead Data Scientist, you will play a pivotal role in driving the development and deployment of state-of-the-art AI models and data-driven solutions that deliver measurable impact. You'll move beyond building prototypes to deploying robust production-grade systems. We are looking for an experienced applied data scientist who can combine exceptional technical skills with strategic foresight and the ability to partner effectively with business and technical teams. You'll have proven expertise in managing project timelines and delivering results that align with organizational goals while fostering collaboration and innovation within the team.

Responsibilities

• Build innovative machine learning and AI solutions designed to address a variety of business challenges and opportunities
• Continuously tune and refine models for improved performance, accuracy, scalability and reliability across multiple use cases
• Establish frameworks to assess accuracy, performance metrics and data fitness to ensure models meet real-world demands
• Lead efforts to standardize model evaluation, coding practices and data science workflows to uphold high-quality production-level code
• Work closely with business stakeholders to define project goals and technical requirements while partnering with data engineering teams to streamline development roadmaps
• Bring cutting-edge techniques like NLP, Large Language Models (LLMs) and Generative AI (GenAI) to solve real-world problems with demonstrable results

Qualifications

• Extensive experience applying data science methods including knowledge of NLP, Large Language Models (LLMs) and Generative AI technologies
• Expertise in object-oriented programming with deep knowledge of critical machine learning libraries (e.g. TensorFlow, PyTorch, scikit-learn) and best practices for efficient coding
• A solid grasp of probability, inference and robust data analysis techniques to inform model selection, development and accurate interpretation of outputs
• Proven ability to take AI models from ideation through deployment ensuring scalability, reliability and alignment with business objectives
• Hands-on experience with cloud platforms (Azure and/or AWS) and deployment pipelines to deliver scalable production-ready solutions
• Skilled at establishing, maintaining and advocating for clean, maintainable and well-documented code across projects
• Ability to work effectively with both technical and non-technical stakeholders bridging the gap between business needs and development execution
• Adept at translating complex technical ideas into clear actionable insights for teammates, executives and clients

Benefits

• EPAM Employee Stock Purchase Plan (ESPP)
• Protection benefits including life assurance, income protection and critical illness cover
• Private medical insurance and dental care
• Employee Assistance Program
• Competitive group pension plan
• Cyclescheme, Techscheme and season ticket loans
• Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• If otherwise eligible, participation in the discretionary annual bonus program
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
• *All benefits and perks are subject to certain eligibility requirements