Data Scientist Engineer – Sfl Scientific

Deloitte Deloitte · Consulting

Deloitte is seeking a Data Scientist Engineer to join their SFL Scientific team. This role involves collaborating with clients to design and develop novel AI/ML projects and solutions, focusing on areas like cancer detection, drug discovery, autonomous systems, and agentic solutions. Responsibilities include defining data strategy, building and validating models, deploying them into production, and researching novel machine learning approaches.

What you'd actually do

  1. 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
  2. Participate in client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
  3. Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
  4. Validate AI models and algorithm via code reviews, unit, and integration tests
  5. Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives

Skills

Required

  • AI strategy and development
  • exploratory data analysis
  • building and validating models
  • deploying models into production
  • AI/ML solutions
  • thought leadership
  • long-term maintenance
  • AI strategy objectives
  • novel machine learning approaches
  • state-of-the-art training
  • solution design
  • network design
  • hardware optimization
  • AI models and algorithm validation
  • code reviews
  • unit and integration tests
  • project performance prioritization
  • model development prioritization
  • business impact maximization
  • new initiatives support
  • collaboration with data engineers, data scientists, project managers, and business teams
  • delivery and presentations alignment with business objectives

Nice to have

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

What the JD emphasized

  • novel projects and solutions
  • complex and R&D problems
  • novel areas
  • novel projects and use cases
  • novel machine learning approaches

Other signals

  • design and develop novel projects and solutions
  • build a world-class data science practice
  • solve complex and R&D problems
  • deliver AI/ML solutions
  • advance state-of-the-art training
  • deploying models into production