Senior Data Scientist — AI Strategy & Transformation

Deloitte France

Stamford (CT)

On-site

USD 128,000 - 253,000

Full time

48 hours ago
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Job summary

SFL Scientific, a Deloitte Business, seeks a Senior Data Scientist to define data strategy, drive technical development, and build next‑gen AI tools and services. You will partner with clients to understand data and requirements, delivering exploratory analysis and long‑term solutions in a fast‑paced consulting setting.

You will work with interdisciplinary teams on cancer detection, drug discovery, population health analytics, and edge AI, applying ML, NLP, and GenAI to solve real business

Qualifications

  • Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
  • 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
  • 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
  • 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
  • 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
  • Live within commuting distance to one of Deloitte's consulting offices
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available
  • Preferred:
  • 2+ years of experience working in a client-facing, consulting environment
  • 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
  • 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
  • 1+ year of experience with AWS Sagemaker or AWS ML Studio

Responsibilities

  • Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
  • Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
  • Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
  • Validate AI models and algorithm via code reviews, unit, and integration tests
  • Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
  • Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives

Skills

AI/ML development
Python
PyTorch
NLP
Time-series analysis
Computer vision
Kubernetes
Docker
Cloud deployment
LLM/GenAI
RAG solutions

Education

Master's or PhD in STEM

Tools

Kubernetes
Docker
TensorRT/Trion
RAPIDs
Kubeflow
MLflow
AWS

Job description

SFL Scientific, a Deloitte Business, seeks a Senior Data Scientist to define data strategy, drive technical development, and build next‑gen AI tools and services. You will partner with clients to understand data and requirements, delivering exploratory analysis and long‑term solutions in a fast‑paced consulting setting.

You will work with interdisciplinary teams on cancer detection, drug discovery, population health analytics, and edge AI, applying ML, NLP, and GenAI to solve real business

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