Data Scientist (Battery Storage)

Masdar is the UAE’s clean energy champion and one of the largest companies of its kind in the world, advancing the development and deployment of renewable energy and green hydrogen technologies to address global sustainability challenges. Established in 2006, Masdar is today active in over 40 countries, helping them to achieve their clean energy objectives and advance sustainable development.

Masdar is jointly owned by Abu Dhabi National Oil Company (ADNOC), Mubadala Investment Company (Mubadala), and Abu Dhabi National Energy Company (TAQA), and under this ownership the company is targeting a renewable energy portfolio capacity of at least 100 gigawatts (GW) by 2030 and an annual green hydrogen production capacity of up to 1 million tonnes by the same year.

Job Description

Purpose for the Job:

To play a pivotal role in enhancing the performance, reliability, and profitability of our renewable energy assets. To leverage advanced analytics, machine learning, and data visualization techniques by driving data-driven strategies to optimize operations (and maintenance), forecast performance, and support strategic decision-making aligned with our goals.

To work in close interface with Commercial Team supporting overall development of a data platform for Masdar’s London managed projects with a key ambition to set up a BESS Operations Control Desk. This desk will be responsible for the monitoring, analysis & scheduling of all assets and act as the key interface between all stakeholders (Masdar, O&M contractors, DNO, OEM and Optimiser). The Data Scientist will play a pivotal role in enabling this.

Job Responsibilities:

• Work in cooperation with Commercial team on development of Data Platform.
• Integrate asset data into the platform and build new visualization and management tools.
• Integrate all BESS data (financial and technical) and develop Asset Management tools and dashboards.
• Document control management.

Collaborate with the Masdar Control Desk to identify key performance indicators (KPIs) and areas for improvement:

• Support the Control Desk in their data and analysis needs to optimise battery availability and state of health.
• Creation and continued refinement of key dashboard tools used for portfolio management.
• Automate Battery scheduling and technical reporting
• Work with our cyber security partners to enhance protection of both our assets and data platform.
• Support on work to implement our BESS Cyber Security Policy, and Cyber Security in OFSW as appropriate
• Support on progressing towards full CAF and ENA DER Compliance.

Asset Management data analysis and performance optimisation :

• Provide data-driven recommendations to enhance asset efficiency, reduce asset downtime and maximize commercial performance.
• Create intuitive dashboards and visualizations to communicate insights to stakeholders, including the asset management and commercial team.
• Prepare detailed reports and presentations to support operational and strategic decisions.

Data Maintenance:

• Collect, clean, and process large datasets from various sources, including SCADA systems, IoT devices, and historical records. 
• Ensure data integrity, consistency, and availability for analysis and reporting.

Comply with information security policies, procedures and requirements at all times:

• Adhere to any applicable Masdar information security policies and procedures and identify and report security incidents and suspected weaknesses to the appropriate point(s) of contact.
• Protect assets under care (e.g. laptops and other devices) and information/credentials against unauthorized access, sharing, and/or damage/loss, in accordance with the Information Classification and Handling Procedure.
• Clear desks of all sensitive material and log off/ lock workstations at the end of the day and when leaving desk for a prolonged period in accordance with Acceptable Usage Policies. • Ensure not installing, copying or modifying of any software on Masdar equipment without authorization.

Qualifications

QUALIFICATIONS

Preferred

Qualifications

• Bachelor’s degree in data science, Computer Science, Engineering, Mathematics, or a related field.

Preferred Experience:

• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong knowledge of time-series analysis, predictive modelling, and machine learning techniques.
• Familiarity with database management systems (e.g., SQL) and cloud platforms (e.g., AWS, Azure).

Job-Specific Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.
• Ability to translate complex data insights into actionable business recommendations.
• Proactive mindset with a passion for renewable energy and sustainability.
• A team player and attention to detail

Additional Information

Please note: All Applicants must be based in the UK.

Masdar is one of the world’s fastest growing renewable energy companies and a green hydrogen leader, placing the UAE at the forefront of the energy transition.

As a pioneer in advancing the clean energy sector and a key enabler of the UAE’s vision as a global leader in sustainability and climate action, Masdar has developed projects in more than 40 countries across six continents and has invested, or committed to invest, in worldwide projects with a combined value of more than US$30 billion.

Masdar unites the UAE’s three energy champions – Mubadala, ADNOC and TAQA – and will utilize their combined expertise to fulfill its purpose as a global clean energy pioneer across renewables and green hydrogen.

Promoting innovation in solar, wind, energy storage, waste-to-energy, and geothermal energy, Masdar has a proven record of delivering pioneering projects using cutting-edge clean energy technologies, that are commercially viable and bankable.

As part of the application process, we will collect, store and process personal information about you.

Masdar will use your personal information in accordance with our Candidate Privacy Notice , which provides details on the purposes for which your data is processed.