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sustainability data analyst
ISR Recruitment Ltd
Data Analytics Manager
ISR Recruitment Ltd Exeter, Devon
Data Analytics Manager Exeter, Devon (Hybrid-Working, with a minimum of x2 days in the office) £70,000 per year Plus excellent company benefits (including Pension, Bonuses, Life Insurance, Private Healthcare, etc. The Opportunity: My client based in the sustainability sector are currently on the lookout for a Data Analytics Manager on a permanent basis based out of their offices in Devon. My client are in an exciting period of transition and transformation as they build their all new Azure data lake and this newly created role will be responsible for the evolution of my client's data infrastructure and analytics as they build and develop their next generation of self-service data tools for customers. In this role you must be comfortable maintaining Legacy systems (Excel, VBA and PowerPoint) whilst managing the transition to the new Azure platform. You will be managing a small team of skilled analysts, enabling the business to maintain operational outputs whilst also providing coaching and mentorship to upskill the team. We are looking for a critical thinker who has experience in building and developing new analytical data structures, to extract the insight required and understanding needed from their evolving data sources. Skills and Experience: Experience with managing a small team of skilled Data Analysts At least 5 years' experience in a Senior Data Analyst/Data Scientist role Demonstrable experience using data modelling (dimensional modelling), warehousing, processing (Map Reduce) and transformation techniques Expert in SQL and at least one analytical programming language (Python is preferred, R or Julia) Advocate of IAC principles and best practice coding (GIT, SVN) Ability to optimise workflows and analysis for map reduce processing Experience with BI software (Power BI, Tableau and/or Qlik Sense) Please contact John Noonan here at ISR Recruitment to learn more about this opportunity as a Data Analytics Manager and our exciting client based in Devon and their ongoing growth plans
12/05/2025
Full time
Data Analytics Manager Exeter, Devon (Hybrid-Working, with a minimum of x2 days in the office) £70,000 per year Plus excellent company benefits (including Pension, Bonuses, Life Insurance, Private Healthcare, etc. The Opportunity: My client based in the sustainability sector are currently on the lookout for a Data Analytics Manager on a permanent basis based out of their offices in Devon. My client are in an exciting period of transition and transformation as they build their all new Azure data lake and this newly created role will be responsible for the evolution of my client's data infrastructure and analytics as they build and develop their next generation of self-service data tools for customers. In this role you must be comfortable maintaining Legacy systems (Excel, VBA and PowerPoint) whilst managing the transition to the new Azure platform. You will be managing a small team of skilled analysts, enabling the business to maintain operational outputs whilst also providing coaching and mentorship to upskill the team. We are looking for a critical thinker who has experience in building and developing new analytical data structures, to extract the insight required and understanding needed from their evolving data sources. Skills and Experience: Experience with managing a small team of skilled Data Analysts At least 5 years' experience in a Senior Data Analyst/Data Scientist role Demonstrable experience using data modelling (dimensional modelling), warehousing, processing (Map Reduce) and transformation techniques Expert in SQL and at least one analytical programming language (Python is preferred, R or Julia) Advocate of IAC principles and best practice coding (GIT, SVN) Ability to optimise workflows and analysis for map reduce processing Experience with BI software (Power BI, Tableau and/or Qlik Sense) Please contact John Noonan here at ISR Recruitment to learn more about this opportunity as a Data Analytics Manager and our exciting client based in Devon and their ongoing growth plans
Source Technology
Data Scientist
Source Technology Amsterdam, Noord-Holland
Data Scientist - Energy Sector Location: The Netherlands (Hybrid/Amsterdam, Rotterdam, or Utrecht preferred) Job Type: Full-time Freelance Industry: Energy/Utilities/Renewable Energy About Us: We are a forward-thinking energy company committed to accelerating the energy transition in The Netherlands and beyond. From renewable power generation to smart grid solutions, we leverage data-driven innovation to build a sustainable energy future. Join a multidisciplinary team that's reshaping the way energy is produced, distributed, and consumed. Position Overview: We are seeking a talented and motivated Data Scientist to join our analytics team. In this role, you will work on impactful projects that enhance operational efficiency, optimize energy consumption, and support our sustainability goals. You will turn complex data into actionable insights, develop predictive models, and contribute to digital transformation initiatives across the organization. Key Responsibilities: Analyze large datasets from energy generation, consumption, and grid operations. Build predictive models for energy forecasting, grid load balancing, maintenance scheduling, and market trend analysis. Collaborate with engineers, analysts, and business stakeholders to define data requirements and deliver tailored solutions. Design and implement machine learning algorithms to optimize asset performance and energy trading strategies. Develop dashboards and visualization tools to communicate insights effectively. Support the integration of IoT and smart meter data into analytical models. Maintain data pipelines and ensure data quality and consistency. Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. 2+ years of experience in data science or analytics, preferably in the energy, utilities, or industrial sector. Proficient in Python and SQL; experience with cloud platform Azure | AI, ML desired Strong knowledge of machine learning, statistical analysis, and time-series forecasting. Experience with data visualization tools (Power BI, Tableau, or similar). Familiarity with energy market dynamics, renewables, or smart grids is highly desirable. Fluent in English; Dutch proficiency is a plus. What We Offer: Flexible hybrid working model (remote and in-office). Competitive Hourly Rate A mission-driven, collaborative work environment focused on sustainability and innovation.
09/05/2025
Project-based
Data Scientist - Energy Sector Location: The Netherlands (Hybrid/Amsterdam, Rotterdam, or Utrecht preferred) Job Type: Full-time Freelance Industry: Energy/Utilities/Renewable Energy About Us: We are a forward-thinking energy company committed to accelerating the energy transition in The Netherlands and beyond. From renewable power generation to smart grid solutions, we leverage data-driven innovation to build a sustainable energy future. Join a multidisciplinary team that's reshaping the way energy is produced, distributed, and consumed. Position Overview: We are seeking a talented and motivated Data Scientist to join our analytics team. In this role, you will work on impactful projects that enhance operational efficiency, optimize energy consumption, and support our sustainability goals. You will turn complex data into actionable insights, develop predictive models, and contribute to digital transformation initiatives across the organization. Key Responsibilities: Analyze large datasets from energy generation, consumption, and grid operations. Build predictive models for energy forecasting, grid load balancing, maintenance scheduling, and market trend analysis. Collaborate with engineers, analysts, and business stakeholders to define data requirements and deliver tailored solutions. Design and implement machine learning algorithms to optimize asset performance and energy trading strategies. Develop dashboards and visualization tools to communicate insights effectively. Support the integration of IoT and smart meter data into analytical models. Maintain data pipelines and ensure data quality and consistency. Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. 2+ years of experience in data science or analytics, preferably in the energy, utilities, or industrial sector. Proficient in Python and SQL; experience with cloud platform Azure | AI, ML desired Strong knowledge of machine learning, statistical analysis, and time-series forecasting. Experience with data visualization tools (Power BI, Tableau, or similar). Familiarity with energy market dynamics, renewables, or smart grids is highly desirable. Fluent in English; Dutch proficiency is a plus. What We Offer: Flexible hybrid working model (remote and in-office). Competitive Hourly Rate A mission-driven, collaborative work environment focused on sustainability and innovation.

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