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- Tasks: Lead data science strategy and drive AI innovation for energy storage solutions.
- Company: Join Allye Energy, a pioneer in revolutionizing energy storage technology.
- Benefits: Enjoy a collaborative culture, mentorship opportunities, and the chance to shape the future of energy.
- Why this job: Be at the forefront of technological innovation in energy, making a real impact on sustainability.
- Qualifications: Master's or PhD in relevant fields with 8 years of data science experience, including leadership roles.
- Other info: Represent Allye Energy at industry conferences and contribute to thought leadership.
The predicted salary is between 72000 - 108000 £ per year.
We are seeking an exceptional, visionary Director of Data Science to lead our analytics and AI strategy, including the modelling and optimisation of community batteries and creation of virtual energy storage to enable shared, digital access. This leadership role will drive the technological innovation that underpins Allye Energy’s mission to revolutionize energy storage.
Responsibilities
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Lead the overall data science strategy, setting the technological vision for Allye Energy’s energy banking platform
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Develop and oversee the implementation and deployment of AI models for:
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Energy demand and supply forecasting
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Real-time grid optimization
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Automated trading and financial performance maximization
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Develop framework and modelling for virtual energy storage concept, including digital twins
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Establish robust data governance, quality assurance, and model validation processes
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Drive cross-functional collaboration between data science, engineering, product, and business teams
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Mentor and develop a high-performing data science team, fostering a culture of innovation and continuous learning
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Represent Allye Energy at industry conferences and contribute to thought leadership in energy technology
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Master’s degree or PhD in computer science, Data Science, Machine Learning, Electrical Engineering, or a closely related field
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8 years of data science experience, with 4 years in leadership roles
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Proven track record of developing and deploying complex predictive models in energy, financial trading, or related complex systems
Required Technical Expertise
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Time series machine learning techniques
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Algorithmic trading or energy arbitrage modelling
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Cloud computing platforms
Preferred Technical Expertise
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Mixed integer linear programming
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Large-scale distributed system design
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Edge computing and IoT integration strategies
Strategic Leadership Requirements
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Proven ability to align technical strategy with business objectives
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Experience in building and leading high-performing data science teams
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Track record of driving technological innovation
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Demonstrated ability to translate complex technical concepts for non-technical stakeholders
Preferred Experience
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Background in energy storage, electric vehicle technology, or smart grid systems
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Experience with renewable energy trading platforms
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Publications or patents in machine learning and energy optimization
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Active involvement in academic or industry research networks
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Ability to secure funding and support for transformative data science initiatives
Director of Data Science employer: Allye Energy
Contact Detail:
Allye Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Data Science
✨Tip Number 1
Make sure to showcase your leadership experience in data science. Highlight specific projects where you led a team or drove innovation, especially in the energy sector. This will demonstrate your capability to align technical strategies with business objectives.
✨Tip Number 2
Network within the energy and data science communities. Attend industry conferences and engage with thought leaders. This not only helps you stay updated on trends but also positions you as a knowledgeable candidate who is actively involved in the field.
✨Tip Number 3
Prepare to discuss your experience with AI models and predictive analytics in detail. Be ready to explain how you've implemented these technologies in real-world scenarios, particularly in energy demand forecasting or grid optimization.
✨Tip Number 4
Demonstrate your ability to communicate complex technical concepts to non-technical stakeholders. Practice explaining your past projects in simple terms, as this skill is crucial for a leadership role that requires cross-functional collaboration.
We think you need these skills to ace Director of Data Science
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly understand the responsibilities and requirements of the Director of Data Science position. Highlight your experience in leading data science strategies and your expertise in energy-related technologies.
Tailor Your CV: Customize your CV to emphasize your leadership experience in data science, particularly in energy, financial trading, or complex systems. Include specific examples of predictive models you have developed and deployed.
Craft a Compelling Cover Letter: Write a cover letter that showcases your vision for the role and how your background aligns with Allye Energy's mission. Discuss your experience in mentoring teams and driving technological innovation.
Highlight Technical Expertise: Make sure to detail your technical skills relevant to the job description, such as time series machine learning techniques, algorithmic trading, and cloud computing platforms. Provide examples of how you've applied these skills in previous roles.
How to prepare for a job interview at Allye Energy
✨Showcase Your Vision
As a Director of Data Science, it's crucial to articulate your vision for the analytics and AI strategy. Prepare to discuss how you would lead the technological innovation at Allye Energy and align it with their mission to revolutionize energy storage.
✨Demonstrate Technical Expertise
Be ready to dive deep into your technical skills, especially in time series machine learning techniques and algorithmic trading. Provide examples of complex predictive models you've developed and deployed, particularly in energy or financial trading.
✨Highlight Leadership Experience
Discuss your experience in building and mentoring high-performing data science teams. Share specific instances where you fostered a culture of innovation and continuous learning, as this is key for the role.
✨Prepare for Cross-Functional Collaboration
Since this role involves driving collaboration between various teams, be prepared to share examples of how you've successfully worked with engineering, product, and business teams in the past. Highlight your ability to translate complex technical concepts for non-technical stakeholders.
