Jobs

Director Data Science


Job details
  • Anson McCade
  • London
  • 3 days ago

Lead Data Scientist & Machine Learning Opportunity!

Are you a visionary in the realm of data science and machine learning, eager to lead transformative projects and drive innovation? Were seeking a dynamic Lead Data Scientist & Machine Learning Consultant to join our team!

Role:Director - Data Science + ML

Location:London

About Us:

Were a global consulting firm dedicated to helping businesses navigate complex challenges and achieve sustainable success. With a focus on excellence and innovation, we partner with clients across diverse industries to deliver impactful solutions.

Role Overview:

As the Lead Data Scientist & Machine Learning Consultant, youll spearhead data-driven initiatives and collaborate with clients to unlock valuable insights. Your expertise will drive the development and implementation of cutting-edge machine learning solutions, driving strategic change and delivering measurable results.

Key Responsibilities:

  1. Lead a team of talented data scientists and consultants, providing mentorship and guidance to drive excellence and innovation.
  2. Partner with clients to understand their business objectives and challenges, and develop customized machine learning solutions to address their needs.
  3. Oversee end-to-end project delivery, from data exploration and modeling to deployment and monitoring, ensuring alignment with client goals.
  4. Stay abreast of the latest advancements in data science and machine learning, leveraging emerging technologies to drive continuous improvement.
  5. Build strong relationships with clients and internal stakeholders, serving as a trusted advisor and thought leader in the field.

Qualifications:

  1. Advanced degree (Ph.D. or Masters) in Computer Science, Statistics, Mathematics, or related field.
  2. Proven experience leading data science and machine learning initiatives, with a track record of delivering impactful solutions.
  3. Proficiency in programming languages such as Python or R, and experience with machine learning libraries and frameworks.
  4. Solid understanding of statistical analysis, data mining, and predictive modeling techniques.
  5. Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts.
  6. Strong leadership and team management abilities, with a passion for driving excellence and fostering collaboration.

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