Data Scientist

ABOUT JMAN:

• JMAN Group is a growing technology-enabled management consultancy that empowers organizations to create value through data.
• Founded in 2010, we are a team of 600+ consultants based in London, UK, and a team of 450+ engineers in Chennai, India. Having delivered multiple projects in the US, we are now opening a new office in New York to help us support and grow our US client base.
• We approach business problems with the mindset of a management consultancy and the capabilities of a tech company. We work across all sectors, and have in depth experience in private equity, pharmaceuticals, government departments and high-street chains.
• Our team is as cutting edge as our work. We take pride for ourselves on being great to work with – no jargon or corporate-speak, flexible to change and receptive of feedback.
• We have a huge focus on investing in the training and professional development of our team, to ensure they can deliver high quality work and shape our journey to becoming a globally recognised brand. The business has grown quickly in the last 3 years with no signs of slowing down.

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Why work at JMAN

Our vision is to ensure JMAN Group is the passport to our teams future. We want our team to go on a fast-paced, high-growth journey with us – when our people want to do something else, the skills, training, exposure, and values that JMAN has instilled in them should open doors all over the world.

Current Benefits:

• Competitive annual bonus
• Market-leading private health insurance
• Regular company soci
• Annual company away days
• Extensive training opportunities

Technical Stack

• Advanced proficiency in cloud AI platforms (Vertex AI, SageMaker, or Databricks); expertise in MLOps frameworks and LLM orchestration
• Skilled in Tableau or Power BI for automated reporting and insights

Qualifications

• 4+ years of experience in Data Science/Analytics
• 3+ years of proven experience in a managerial or people-leadership role, managing multiple direct reports or sub-teams

Key Responsibilities

• Lead the development and implementation of advanced data science models
• Act as a bridge between business requirements and technical execution, ensuring high-quality solution delivery
• Mentor junior scientists on coding standards, experimental design, and model ethics
• Audit data quality and process integrity across the entire modelling lifecycle
• Mentor and guide junior data scientist
• Stay updated with the latest trends in data science
• Establish the CI/CD pipelines for machine learning, automating the transition from research to production.