- Data Scientist
Ongoing Contract
Hybrid Working from their West London offices (can be fully remote outside of London)
£Competitive Day Rate
About Us
We working with a forward-thinking sustainable energy company committed to reducing global carbon footprints through innovation and data-driven solutions. Their team works at the intersection of technology and sustainability, and we're looking for a dynamic Data Scientist to join them on their mission to optimize energy solutions for a greener future.
About the Role
We are seeking a Data Scientist with 2-3 years of experience working in complex database environments to focus on SQL data manipulation and operational analytics. The role will require building operational datasets, performing forecasting tasks across key metrics, and driving business decisions through data insights.
The ideal candidate will bring expertise in Google Cloud Platform (GCP), particularly BigQuery, and have a commercially minded approach to solving operational challenges. While energy sector experience is a bonus, it's not required-we are more interested in finding a skilled and adaptable professional who thrives in technically complex environments.
Key Responsibilities
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Develop and maintain operational datasets to support business processes and decision-making.
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Perform SQL-based data manipulation and advanced analytics on large and complex datasets.
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Design, implement, and optimize data pipelines using BigQuery and other GCP tools.
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Build and refine forecasting models for operational metrics such as resource utilization and demand trends.
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Collaborate with business and technical teams to ensure data solutions align with commercial objectives.
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Present data insights and actionable recommendations to both technical and non-technical stakeholders.
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Proactively identify opportunities to streamline operations through data-driven strategies.
Qualifications and Experience
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2-3 years of hands-on experience in complex database environments, with expertise in SQL and BigQuery.
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Proficiency with Google Cloud Platform (GCP), including tools like Cloud Storage, Dataflow, and BigQuery.
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Strong background in operational analytics and experience building scalable datasets for business use.
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Knowledge of statistical modeling, forecasting, and machine learning concepts.
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Proficiency in programming languages such as Python or R for data analysis and automation.
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Commercially minded with the ability to balance technical precision and business needs.
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Excellent problem-solving and communication skills.
Nice-to-Haves:
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Experience working in the energy or sustainability industries.
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Familiarity with data visualization tools like Tableau, Looker, or similar.
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Knowledge of time-series forecasting and analysis.
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Exposure to other GCP tools such as Cloud Functions or Pub/Sub.
What We Offer
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Competitive salary and benefits.
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Opportunities to directly contribute to global sustainability efforts.
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Flexible remote/hybrid working arrangements.
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Support for professional development and certifications.
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A collaborative, mission-driven environment where your contributions make an impact.