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Senior Data Scientist

4 months ago

London, UK, United Kingdom Higher - AI recruitment Full time

We're helping the UK's first 100% renewable energy provider to hire Senior Data Scientist focused on solving exciting business challenges in operations and customer service.


This role can be based at either one of the client's hubs in either Nottingham or London, with very flexible presence in the office.


In this role, you'll manage end-to-end data science projects from problem formulation to implementation and deployment. You'll communicate effectively with stakeholders and form strong business relationships, leveraging predictive modelling, segmentation techniques and AI algorithms to unlock valuable insights.


Responsibilities

  • Spearhead projects with cross functional leaders
  • Use models like regression and propensity models, time-series, ensemble methods and neural networks
  • Seek out opportunities to make an impact using the latest ML methods (NLP and Gen AI)
  • Be the go-to authority for data products and advanced ML solutions
  • Translate complex data models to actionable insights
  • End-to-end machine learning product development, from data wrangling to model tuning and deployment
  • Provide insightful storytelling to stakeholders through compelling dashboards and visualisations
  • Lead and oversee intricate data projects
  • Coach and mentor more junior data scientists, fostering a collaborative, innovative, peer-review culture within the team


Requirements

  • Minimum 4 years’ hands-on experience as a Data Scientist
  • BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning
  • Deep expertise in Python (production-level) and SQL
  • Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment
  • Exceptional communication skills, able to engage confidently with non-technical stakeholders
  • Experience resolving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis
  • Strong visualisation skills including experience with Tableau
  • Familiarity with Databricks and PySpark for data manipulation and analysis
  • Familiarity with Git-based source control methodologies, including branching and pull requests
  • A self-starter, passionate about converting data into actionable insights and business value
  • Adaptive to fast-paced, high autonomy environments
  • Eager to contribute to a culture of growth and innovation


Nice to have

  • Energy sector experience


Compensation and benefits:

  • Base salary up to £80K + discretionary annual bonus
  • 26 days annual leave + bank holidays
  • Generous pension scheme
  • Flexible hours
  • Enhanced parental leave allowance
  • Private medical and dental and holiday top up available to purchase


If you're ready to take on a pivotal role in sharping the future of energy innovation, then this role is for you


***Our client is not offering sponsorship at this time. Candidates requiring sponsorship to live in the UK will not be considered.***