At a Glance
- Tasks: Transform complex data into meaningful insights for strategic business decisions.
- Company: Join a leading Aerospace, Defence and Security organisation with a collaborative culture.
- Benefits: Flexible benefits, great career progression, and training opportunities.
- Other info: Hybrid role with monthly team meet-ups in Newport for collaboration.
- Why this job: Make an impact by driving a data-led culture and delivering innovative solutions.
- Qualifications: Experience with Python, SQL, and data visualisation tools like Power BI.
The predicted salary is between 37800 - 46200 £ per year.
Are you passionate about turning complex data into clear, meaningful insights that help shape business decisions? Join our Data Science & Analytics team and help us unlock the value of data across our Aerospace, Defence and Security business. This team sits at the heart of the organisation, bringing together data from across the business into a centralised data lake and transforming it into reporting, analytics and insight that supports operational, tactical and strategic decision-making.
You'll work with a collaborative team based primarily in Newport, where the team comes together in person once a month to share ideas, solve challenges and strengthen relationships. The team's work supports both internal stakeholders and clients, with much of the reporting providing critical insight to senior leaders across the business. You'll have the opportunity to work with modern data platforms, analytical tooling and emerging technologies to help create a more data-led culture and deliver solutions that drive better business outcomes.
We can offer great career progression opportunities, benefits which you can flex to meet your needs, and training and development opportunities. This role is hybrid, with monthly team meetings in Newport and additional travel as required for collaboration and business needs.
What you'll be doing:
- Develop and enhance reporting, dashboards and analytical products that provide insight to senior business leaders and customers.
- Centralise, cleanse, validate and model data from multiple business systems within modern data platforms and data lake environments.
- Build and maintain data pipelines, automated solutions and analytical tools using technologies including Python, SQL and Power BI.
- Design and deliver forecasting, planning and predictive analytics solutions that support informed decision-making.
- Identify opportunities to improve data quality, automate reporting processes and enhance analytics capabilities across the business.
- Communicate insights through compelling visualisations and data storytelling that help stakeholders understand what they need.
Data Scientist employer: Sopra Steria
Join a forward-thinking team at the forefront of Aerospace and Defence, where your expertise in Microsoft Sentinel and KQL will directly contribute to enhancing security measures. We pride ourselves on fostering a collaborative work culture that prioritises employee growth through continuous learning opportunities and innovative projects. Located in a dynamic environment, we offer competitive benefits and a commitment to making a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨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 Sopra Steria!
✨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 Data Scientist at Sopra Steria.
✨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 Sopra Steria.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Sopra Steria, 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 Data Scientist
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 Sopra Steria, 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 Sopra Steria. 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 Sopra Steria
✨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 Sopra Steria!
✨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.
