Data Scientist

7 days ago

BradfordonAvon, Wiltshire, United Kingdom CEIPAL Full time £60,000 - £120,000 per year

Data Scientist – Job Summary
Location: United Kingdom | Experience: 3-5 Years | Education: Masters

Role Overview

Join our dynamic team as a Data Scientist and play a pivotal role in extracting actionable insights from complex datasets to shape strategic business decisions. You'll drive end-to-end machine learning projects, develop innovative models, and collaborate cross-functionally to deliver high-impact, production-ready solutions. This role offers an opportunity to stay at the forefront of AI advancements and make a measurable difference across business units.

Key Responsibilities

  • Model Development: Design, develop, and implement predictive, forecasting, clustering, and classification machine learning models.
  • Data Analysis: Conduct in-depth exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights.
  • Data Preparation: Clean, transform, and wrangle large datasets from diverse sources for analysis and modeling.
  • Pipeline Engineering: Collaborate with Data Engineers to create and maintain automated data and ML pipelines for model deployment.
  • Communication & Storytelling: Present complex analytical findings through clear visualizations and reports to both technical and non-technical audiences.
  • Experimentation: Design and evaluate A/B tests and experiments to validate hypotheses and measure solution impact.
  • Research & Innovation: Continuously explore latest ML/AI research and propose innovative approaches to solve business challenges.

Skills Emphasized

Python, SQL, Machine Learning, Deep Learning, Data Analysis, Statistical Modeling, Forecasting, A/B Testing, Data Visualization, Communication, Analytical Thinking, Predictive Modelling, Cluster Analysis, Storytelling

Recruiter Insights

  • Impactful Role: Directly influence business strategies by developing and deploying advanced ML solutions.
  • High-Demand Skillset: Seeks expertise in Python, machine learning, deep learning, and modern data analytics.
  • Growth & Innovation: Continuous learning environment with access to cutting-edge AI tools and research.
  • Competitive Advantage: Experience with cloud ML platforms, Big Data technologies, and MLOps are valued for further career growth, but not mandatory.

Candidate Insights

  • Career Acceleration: Opportunity to lead impactful ML projects and see your work influence real-world decisions.
  • Learning Culture: Stay up-to-date with the latest in AI/ML, with innovation encouraged and supported.
  • Collaborative Environment: Work closely with diverse teams and stakeholders, enhancing both technical and business skills.
  • Added Advantage: Exposure to cloud, Big Data, and visualization platforms can accelerate growth but is not a barrier to entry.

This Data Scientist role is ideal for candidates passionate about leveraging data to drive business success, eager to innovate, and ready to take on responsibility in a supportive, forward-thinking environment.

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