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Lead Data Scientist

Nous Infosystems

London

On-site

GBP 55,000 - 115,000

Full time

Today
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Job summary

A leading company is seeking a Senior Data Scientist to work on cutting-edge generative AI and machine learning solutions. This role involves leading projects, collaborating with cross-functional teams, and mentoring junior staff. The ideal candidate will possess a strong background in AI technologies and be passionate about driving innovation in data science.

Benefits

Good work-life balance
Excellent work culture

Qualifications

  • Minimum 7 years experience in data science with focus on generative AI.
  • Proven track record in deploying deep learning and NLP models.

Responsibilities

  • Lead development and research projects on generative AI and machine learning.
  • Collaborate with teams to integrate AI-driven solutions.

Skills

Problem-Solving
Leadership
Communication

Education

Ph.D. or master’s degree in computer science

Tools

Python
PyTorch
TensorFlow
Docker
Kubernetes
AWS
Azure

Job description

Direct message the job poster from Nous Infosystems

Location: E14 5GN, London, United Kingdom

Work Mode: On-Site

Seeking a senior/lead data scientist to be part of a team that will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization.

Specific Emerging Technology team objectives are:

  • Gen AI/ML technology implementation with business and product owners
  • Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML
  • enabled components as well as third party AI governance
  • Lead and support other enterprise-level AI exploration tools and capabilities
  • Provide guidance and support for safe development and deployment of AI

What We Offer:

  • This will be a high impact role with significant visibility where the candidate will work on some flagship products
  • The candidate will have an excellent opportunity to work in the cutting-edge field of machine learning and data science
  • promotes an excellent work culture and is known for providing a good work life balance
  • The successful candidate will lead the development and implementation of innovative AI models that can generate high-quality content, optimize processes, and enhance decision-making across various domains.

We’ll Count on You To:

  • Work closely as part of the product squads to build, integrate, and deploy GenAI and data science solutions. Ensure sharing best practices and learnings with other squad members.
  • Lead and manage development and research projects focused on generative AI, deep learning, machine learning, NLP, and large language models.
  • Design, develop, and deploy state-of-the-art machine learning models and algorithms that leverage deep learning and NLP techniques.
  • Collaborate with cross-functional teams to identify opportunities for AI-driven solutions and integrate them into existing systems and workflows.
  • Conduct experiments to validate the performance and effectiveness of developed models and iterate on improvements based on results.
  • Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to business
  • Collaborate with MLEs to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals.
  • Stay up to date with the latest advancements in AI, machine learning, NLP, and large language models, and apply this knowledge to drive innovation within the organization.
  • Mentor and provide guidance to junior data scientists and researchers, fostering a culture of continuous learning and development.
  • Contribute to the creation of intellectual property, such as patents and publications, to enhance the company's competitive edge.

What You Need to Have:

  • Ph.D. or master’s degree in computer science, Data Science, Machine Learning, or a related field.
  • A minimum of 7 years of experience in data science, with a strong focus on generative AI, deep learning, machine learning, NLP, and large language models.
  • Proven track record of developing and deploying successful deep learning and NLP models in real-world applications.
  • Proficiency in programming languages such as Python, and experience with machine learning frameworks such as PyTorch, TensorFlowor similar.
  • Strong understanding of natural language processing (NLP) techniques and experience with large language models like GPT, BERT, or similar.
  • Proficiency in machine learning and and deep learning algorithms such as Neural networks, multi-class classifications, decision trees, support vector machines etc.
  • Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM’s.
  • Excellent problem-solving skills and the ability to think critically and creatively.
  • Strong communication and leadership skills, with a demonstrated ability to work effectively in a collaborative environment.
  • Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc.
  • Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock, AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc.

What Would Make You Stand Out:

  • Passionate about the power of data, GenAI and predictive analytics to drive better business outcomes for customers
  • Proven ability to work effectively in a distributed working environment and ability to work efficiently and productively in a fast-paced environment
  • Familiarity with credit ratings agencies, regulations, and data products around the world
  • Outstanding written and verbal communication skills
  • A champion of good code quality and architectural practices.
  • Strong interpersonal skills and ability to work proactively and as a team player
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Customer Service
  • Industries
    IT Services and IT Consulting

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