At a Glance
- Tasks: Use data science to solve real-world challenges and drive energy transition impact.
- Company: Join a forward-thinking team focused on customer-led innovation in energy.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic environment with a focus on innovation and sustainability.
- Why this job: Make a tangible difference by turning data into impactful solutions for the energy sector.
- Qualifications: Experience in data science, problem-solving, and collaboration with diverse teams.
The predicted salary is between 63000 - 77000 £ per year.
Are you excited by the idea of using data science to tackle real-world challenges and drive meaningful impact? We are looking for a Senior Data Science Innovator to join our Strategy, Innovation & Partnerships (SIP) team, where data science meets customer-led innovation and propels energy transition impact. In this role you won't just build models, you'll help discover the right problems to solve, working directly with customers to uncover pain points and turn ideas into scalable digital solutions. From early-stage experimentation to production-ready products, you'll play a key role in shaping the next generation of data-driven offerings for critical energy infrastructure.
You will work within one of our innovation labs, collaborating in multidisciplinary teams to tackle challenges that are technically demanding, strategically relevant, and highly impactful. You'll be part of a team that develops and tests pilots with customers, and matures solutions into MVPs for handover and scaling by product teams. In SIP, we focus on delivering innovation that reaches customers; you will shape this journey from the outset and see your work evolve from an idea into scalable solutions that can impact multi-gigawatt renewable systems alongside other industries and make the energy transition safer for people and the environment.
What you will do:
- Uncover customers' pain-points and desired gains
- Discover and define the problem worth solving by interviewing customers, and mapping inefficiencies in internal processes
- Develop and deliver analytical solutions
- Design, build, and refine models and algorithms supporting experiments, prototypes, and minimum viable products, using statistical and machine learning approaches
- Translate ideas into structured solutions
- Turn business or innovation ideas into testable experiments to validate against the data or with the stakeholders
- Own end-to-end delivery
- Lead analytical workstreams from problem framing to prototype development, validation, and handover to production or scaling teams
- Collaborate and influence stakeholders
- Work closely with experiment managers, engineers, domain experts, and product teams to build alignment, communicate insights, and ensure adoption of solutions
- Provide technical leadership
- Mentor other team members, share best practices, and contribute to internal data science communities
If you are motivated by innovation, experimentation, and making a tangible difference in the energy transition, this is your opportunity to be part of a team turning data into impactful solutions that matter. Join a team working at the intersection of data science, innovation, and strategy, tackling complex and impactful challenges in the energy transition.
Senior Data Science Innovator in Bristol employer: DNV Germany Holding GmbH
As a Senior Data Science Innovator, you will thrive in a dynamic work culture that prioritises collaboration and innovation, allowing you to make a real impact on the energy transition. Our commitment to employee growth is evident through mentorship opportunities and involvement in multidisciplinary teams, ensuring that your contributions lead to scalable solutions that benefit both customers and the environment. Located in a vibrant area, our innovation labs provide a stimulating environment where your ideas can flourish and drive meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Science Innovator in Bristol
✨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 DNV Germany Holding GmbH!
✨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 Senior Data Science Innovator at DNV Germany Holding GmbH.
✨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 DNV Germany Holding GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Science Innovator at DNV Germany Holding GmbH, 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 Senior Data Science Innovator in Bristol
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 DNV Germany Holding GmbH, 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 DNV Germany Holding GmbH. 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 DNV Germany Holding GmbH
✨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 DNV Germany Holding GmbH!
✨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.
