Principal Data Scientist

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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