Head of Data in Lincolnshire

Head of Data in Lincolnshire

Lincolnshire Full-Time 75600 - 92400 £ / year (est.) On-site
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At a Glance

  • Tasks: Lead the enterprise data foundation to execute AI and digital roadmaps.
  • Company: Siemens Energy, a global leader in sustainable energy solutions.
  • Benefits: 26 days holiday, flexible benefits, career development, and competitive salary.
  • Other info: Join a diverse team committed to decarbonisation and energy transformation.
  • Why this job: Shape the future of energy with innovative technologies and impactful projects.
  • Qualifications: Experience in data management and leadership in IT.

The predicted salary is between 75600 - 92400 £ per year.

Siemens Energy and Siemens Gamesa are becoming Omterra. \"We energize society\" by supporting our customers to make the transition to a more sustainable world, based on innovative technologies and our ability to turn ideas into reality.

With nearly 100,000 employees around the world, we shape the energy systems of today and tomorrow.

United Kingdom of Great Britain and Northern Ireland Lincolnshire Lincoln Company Siemens Energy Limited Organization Gas Services Business Unit Distributed Full-time Experience Level Professional / Experienced Head of

  • Data
  • Job

Family: Information Technology A Snapshot of Your Day As Head of Data, you own the enterprise data foundation required to make AI and digital roadmaps executable.

You lead the AI additional languages are an advantage About the Team Our Gas Services division offers Low-emission power generation through service and decarbonization.

Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators.

Decarbonisation opportunities through service offerings, modernisation, and digitalisation of the fleet.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company.

We meet the growing energy demand across 90+ countries while ensuring our climate is protected.

With approximately 100,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible.

We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Our Commitment to Diversity Lucky for us, we are not all the same.

Through diversity, we generate power.

We run on inclusion, and our combined creative energy is fuelled by over 130 nationalities.

Siemens Energy celebrates character—no matter your ethnic background, gender, age, religion, identity, or disability.

We energize society, all of society, and we do not discriminate based on our differences. 26 days holiday, increasing to 29 days with time served.

Access to a flexible benefits portal for private medical cover, cycle-to-work schemes, and more.

Opportunities for career development and continuous learning.

The chance to work on cutting-edge projects that shape the future of Siemens Energy.

Scope to earn significantly more than base salary through allowances and overtime.

Head of Data in Lincolnshire employer: Siemens Energy

Siemens Energy is an exceptional employer, offering a dynamic and inclusive work environment where your contributions as a Senior Draughtsperson directly impact the development of eco-friendly power generation solutions. With a strong commitment to employee growth, you will have access to continuous learning opportunities, flexible working arrangements, and the chance to collaborate with a diverse team of professionals dedicated to innovation and sustainability in the energy sector.

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Contact Details:

Siemens Energy Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Data in Lincolnshire

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Siemens Energy!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Head of Data at Siemens Energy.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Siemens Energy.

✨Apply Directly through Our Website

When you find a suitable opening like Head of Data at Siemens Energy, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Head of Data in Lincolnshire

Data Management
Artificial Intelligence (AI)
Digital Transformation
Decarbonisation Strategies
Project Leadership
Analytical Skills
Communication Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Siemens Energy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Siemens Energy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Siemens Energy

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Siemens Energy!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.