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- Tasks: Analyse data, develop automation techniques, and create interactive applications.
- Company: Join a growing tech company focused on innovative solutions in Offshore, Nuclear, and Utilities sectors.
- Benefits: Enjoy opportunities for career progression and a collaborative work environment.
- Why this job: Work on cutting-edge projects that contribute to sustainability and carbon reduction.
- Qualifications: 5+ years in Data Science with proficiency in Python and C++; industry experience is a plus.
- Other info: No sponsorship or relocation assistance is offered for this role.
The predicted salary is between 48000 - 72000 £ per year.
My client, a growing tech company, is looking for a Data Scientist to support the development of innovative solutions in the Offshore, Nuclear, and Utilities sectors. This role offers the chance to work on cutting-edge projects, including machine learning applications and sustainability-driven initiatives.
Key Responsibilities:- Analyse data to support engineering projects and R&D initiatives.
- Develop and implement automation techniques to improve efficiency.
- Apply machine learning and predictive analytics to extract insights.
- Create interactive applications and data visualisations for decision-making.
- 5+ years in a Data Science role.
- Proficiency in Python and C++ (Java, SQL, or MATLAB advantageous).
- Strong analytical, visualisation, and problem-solving skills.
- Industry experience in Energy or Utilities an advantage, but not a necessity.
- Work on cutting-edge projects in a growing tech company.
- Opportunities for career progression and R&D involvement.
- Collaborative and innovative work environment.
- Contribute to sustainability and carbon reduction initiatives.
Please note, there is no sponsorship or relocation assistance offered for this role.
Data Scientist employer: NRG.
Contact Detail:
NRG. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and data science, especially as they relate to the Offshore, Nuclear, and Utilities sectors. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the energy and utilities industry. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the challenges they face, which can give you an edge in discussions during the hiring process.
✨Tip Number 3
Showcase your technical skills by working on personal projects or contributing to open-source initiatives that involve Python and C++. This practical experience can be a great talking point in interviews and can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you've applied data visualisation techniques in past roles. Being able to articulate your experience in creating interactive applications will highlight your ability to communicate complex data insights effectively.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly focusing on your proficiency in Python and C++. Include specific projects where you've applied machine learning or predictive analytics.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, especially in relation to innovative solutions in the Offshore, Nuclear, and Utilities sectors.
Showcase Relevant Projects: If you have worked on projects related to sustainability or automation techniques, be sure to include these in your application. Highlight your contributions and the impact of your work.
Prepare for Technical Questions: Anticipate technical questions related to data analysis, machine learning, and programming languages. Be ready to discuss your problem-solving approach and provide examples from your past experiences.
How to prepare for a job interview at NRG.
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and C++. Be prepared to discuss specific projects where you've applied these skills, especially in relation to machine learning or data visualisation.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses and clearly illustrate your analytical thinking.
✨Familiarise Yourself with Industry Trends
Research current trends in the Offshore, Nuclear, and Utilities sectors. Being knowledgeable about sustainability initiatives and how data science can contribute will show your genuine interest in the role and the company.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the company's projects and future direction. This not only shows your enthusiasm but also helps you assess if the company aligns with your career goals.
