Principal Data Scientist
Location: Nottinghamshire (Hybrid 3days/week)
Salary: £80,000 – £90,000
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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