At a Glance
- Tasks: Lead data science projects, develop analytical solutions, and mentor team members.
- Company: MASS, a trusted global tech company in secure digital services.
- Benefits: Competitive salary, 25 days leave, private medical insurance, and continuous development support.
- Other info: Dynamic workplace focused on wellbeing and professional growth.
- Why this job: Join a skilled team and shape the future of data science in a secure environment.
- Qualifications: Experience in data science, strong analytical skills, and proficiency in Python or MATLAB.
The predicted salary is between 45000 - 65000 £ per year.
We expect you to have previously worked in a similar senior data science role and be able to balance technical delivery with leadership responsibilities while managing multiple priorities.
You should have strong analytical thinking, a passion for solving complex problems, and the ability to communicate technical concepts to different audiences.
- Experience writing scripts to provide insights into complex system performance within high-volume synthetic environments, using Python or MATLAB.
- Experience with data transformation and visualisation frameworks.
- Experience generating GUIs to display key data insights.
- Experience developing product-quality software applications.
- A BSc or Masters degree in a data-related subject.
- A strong background in statistics and data assimilation techniques is desirable.
- Experience prototyping AI/ML techniques, such as LLMs and neuromorphic systems, is desirable.
- Knowledge of Electromagnetic Spectrum systems such as Radar, Electronic Warfare or Jamming technologies is desirable.
- An interest in GPU-accelerated architectures and high-performance computing is desirable.
- Experience using DevOps and software development tools such as Jira and BitBucket is desirable.
You must be a UK national and eligible to work in the UK. You must be eligible to obtain and maintain UK Government SC level security clearance.
Responsibilities:
- Lead the delivery of data science activities in support of a dedicated Test & Evaluation programme.
- Define, scope and review tasking for Data Science team members.
- Develop analytical, predictive and visualisation solutions using modern data science techniques.
- Prototype and evaluate emerging AI and machine learning technologies.
- Develop robust, high-quality software applications and tools.
- Provide technical guidance and mentoring to colleagues.
- Report progress and technical outputs to project stakeholders.
- Support business development activities and technical bid responses.
- Ensure data science processes and best practices are followed.
- Work closely with project leads and customers to understand complex challenges and deliver high-quality outcomes.
- Help shape the future direction of our Data Science capability.
- Identify opportunities to apply emerging technologies.
- Support business growth through technical input into bids and proposals.
Technologies: AI, BitBucket, DevOps, Support, JIRA, Machine Learning, Matlab, Python, Security.
We are MASS, an independent global technology company trusted by highly secure organisations to provide advanced digital services that manage data and keep information safe. With our heritage in defence, we deliver robust solutions to sectors where security expertise is essential. This is a full-time, on-site role based at our head office in Little Paxton, St Neots, working alongside a highly skilled team of Data Scientists, Software Engineers and Technical Specialists on innovative solutions for highly secure customers.
We offer a salary of £45,000 - £65,000 DOE along with 25 days annual leave inclusive of up to 3 days Christmas shut-down, the option to buy or sell up to 5 days annual leave, two pension schemes, private medical insurance with family discounts, life assurance up to 4 x salary, a share save scheme, electric/hybrid car leasing, cycle to work, retail discounts and continuous professional development support. Wellbeing is at the core of our culture, and we provide mental health first aiders, a comprehensive employee assistance programme and a friendly workplace where everyone is valued and has the chance to make an impact.
Senior Data Scientist in Little Paxton employer: Sivara GmbH
At MASS, we pride ourselves on being an excellent employer, offering a dynamic work environment in Little Paxton where innovation meets security. Our commitment to employee wellbeing is reflected in our comprehensive benefits package, including generous annual leave, private medical insurance, and continuous professional development opportunities. Join a collaborative team of experts dedicated to solving complex challenges while enjoying a supportive culture that values your contributions and fosters growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Little Paxton
✨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 Sivara 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 Scientist at Sivara 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 Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at Sivara 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 Scientist in Little Paxton
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 Sivara 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 Sivara 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 Sivara 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 Sivara 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.
