Senior Data Scientist
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Job Description
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 team's 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.
More Info
Job Type:
Industry:
Employment Type:
Key Skills
SageMaker
Vertex AI
CI CD pipelines
MLOps frameworks
cloud AI platforms
LLM orchestration
About Company
Skills:
causal inference , Machine Learning, XGBoost, Python, Sql, Forecasting, Classification, Neural Forecasting Architectures, Optimization, Multivariate Regression
Skills:
Data Science, Machine Learning, Numpy, Pandas, Python, Sql
Skills:
Machine Learning, Neural Networks, Unsupervised Learning, Sql, Deep Learning, Decision Trees, Predictive Modeling, Clustering, Python, model training, supervised learning, Ai, Simulation, ensemble methods, Evaluation, scenario analysis, advanced statistical concepts, data ingestion, Responsible AI, feature engineering, Explainable AI, Deployment
Skills:
RAG (Retrieval-Augmented Generation) architecture, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), Data Structures And Algorithms, Python Programming, LLMs, Autoregressive models, SLMs, Model finetuning, AI accelerator chips, Transformer-based networks, Generative AI architectures, MLOps practices, Modern AI frameworks
Skills:
Ml, Deep Learning, MLops, Python, Algorithms, data structures, generative AI architectures, LLMs, GANs, Transformer-based networks, Ai, DL, SLMs, autoregressive models, Variational Autoencoders, reinforcement learning, RAG, Agentic AI, RL, modern AI frameworks, Generative AI