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Principal Data Scientist

Xpertise Recruitment
Posted 2 days ago, valid for 13 days
Location

Nottingham, Nottingham NG6, England

Salary

£80,000 - £90,000 per annum

Contract type

Full Time

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Sonic Summary

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  • The Principal Data Scientist position is located in Nottinghamshire and offers a hybrid work model of three days a week in the office.
  • The salary for this role ranges from £80,000 to £90,000, depending on experience.
  • The ideal candidate should have a Master's or Ph.D. in a relevant field and proven experience leading impactful data science projects.
  • Key responsibilities include shaping data science strategy, designing machine learning models, and collaborating with cross-functional teams.
  • This role represents an exciting opportunity to make a significant impact as the first lead hire in the client's data team.

Principal Data Scientist
Location: Nottinghamshire (Hybrid 3days/week)
Salary: £80,(Apply online only) – £90,(Apply online only)

Are you ready to take the lead in shaping the future of data science? We are recruiting on behalf of an exciting organisation for a Principal Data Scientist role based in Nottinghamshire. This is a hybrid position that offers the chance to combine hands-on technical work with strategic leadership, driving transformative business outcomes through data.

You’ll oversee the development of advanced analytics, machine learning models, and AI-driven solutions while collaborating with cross-functional teams to solve complex business challenges. This opportunity is the first lead hire for our clients data team so an exciting opportunity to make an impact.

Key Responsibilities

  • Shape and implement the organisation’s data science strategy, ensuring alignment with business objectives.
  • Provide thought leadership in machine learning and advanced analytics, guiding teams and influencing decision-making at the executive level.
  • Stay ahead of industry trends, positioning the organisation as a leader in data-driven innovation.
  • Design and deliver machine learning models, optimisation algorithms, and predictive analytics tools.
  • Lead full lifecycle projects, from data collection and preprocessing to model development, testing, and deployment.
  • Explore and deploy cutting-edge methods, including deep learning, natural language processing (NLP), and reinforcement learning.
  • Partner with data engineering teams to create scalable and reliable data pipelines.
  • Work closely with product, engineering, and business units to identify and capitalise on opportunities for innovation.
  • Simplify complex data science findings into actionable insights for diverse stakeholders.

What We’re Looking For

  • Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.
  • Experienced in data science or machine learning, with proven experience leading impactful projects.
  • Expertise in driving data science initiatives with measurable business outcomes.

Technical Skills:

  • Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Advanced knowledge of programming languages such as Python, R, or Scala.
  • Experience working with large-scale data platforms (e.g., Spark, Snowflake, Hadoop).
  • Hands-on expertise with cloud services like AWS, Azure, or GCP.
  • Strong analytical skills with a deep understanding of statistics and optimisation techniques.
  • Outstanding communication skills to bridge technical concepts and business objectives effectively.

Preferred Qualifications

  • Experience with advanced AI techniques such as NLP, deep learning, or reinforcement learning.
  • Knowledge of MLOps principles and tools (e.g., MLflow, Kubeflow).
  • Demonstrated contributions to peer-reviewed publications or open-source projects.

 

For more information on this role or other similar roles please contact Mae Fitzgerald

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