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For Companies At a Glance
- Tasks: Analyse data, develop automation techniques, and create interactive applications.
- Company: Join a growing tech company focused on innovative solutions in energy sectors.
- Benefits: Enjoy opportunities for career progression and work on sustainability-driven projects.
- Why this job: Be part of cutting-edge projects and a collaborative, innovative environment.
- Qualifications: 5+ years in Data Science with proficiency in Python and C++; industry experience is a plus.
- Other info: No sponsorship or relocation assistance available for this role.
The predicted salary is between 43200 - 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.
Experience & Skills:
- 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.
Why Join?
- 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
Network with professionals in the tech and energy sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in data science applications within these fields.
✨Tip Number 2
Showcase your skills through personal projects or contributions to open-source initiatives. Highlight any machine learning applications or data visualisations you've created, as this will demonstrate your practical experience and passion for the field.
✨Tip Number 3
Familiarise yourself with the specific challenges and innovations in the Offshore, Nuclear, and Utilities sectors. Understanding the unique data needs and sustainability goals of these industries can set you apart during interviews.
✨Tip Number 4
Prepare to discuss how you've used Python and C++ in previous roles. Be ready to provide examples of how you've applied these languages to solve complex problems or improve processes, as this will be crucial for demonstrating your technical expertise.
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 focus on 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 data analysis or machine learning.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex problems in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Familiarise Yourself with Industry Trends
Research current trends in the Offshore, Nuclear, and Utilities sectors. Being knowledgeable about sustainability initiatives and how they relate to data science will impress your interviewers.
✨Prepare for Technical Questions
Expect technical questions related to machine learning and predictive analytics. Brush up on key concepts and be ready to explain your thought process when solving data-related challenges.
