At a Glance
- Tasks: Lead data science projects and develop innovative analytical solutions.
- Company: Join a forward-thinking tech company with a focus on advanced data capabilities.
- Benefits: Enjoy 25 days leave, private medical insurance, and continuous professional development.
- Other info: Dynamic workplace with opportunities for career growth and a supportive team culture.
- Why this job: Make a real impact in exciting customer projects using cutting-edge AI and machine learning.
- Qualifications: Experience in data science, strong analytical skills, and proficiency in Python or MATLAB.
The predicted salary is between 45000 - 65000 £ per year.
A newly created role is part of the Digital Services Group, driving advanced data science capabilities across exciting customer projects.
Benefits:
- 25 days annual leave, including up to 3 days Christmas shut‑down
- Buy or sell up to 5 days of annual leave
- Two pension schemes to choose from
- Private medical insurance + discounts for additional family members
- Life assurance scheme up to 4× salary
- Share save scheme
- Electric/Hybrid car leasing scheme
- Cycle to work scheme
- Retail discounts
- Continuous professional development support
Core Responsibilities:
- Lead the delivery of data science activities in support of the 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
Qualifications & Experience:
- Senior data scientist experience required
- Strong analytical thinking and passion for solving complex problems
- Excellent communication of technical concepts to a variety of audiences
- Writing scripts to provide insights into complex system performance within high‑volume synthetic environments (Python or MATLAB)
- Experience with data transformation and visualisation frameworks
- Experience generating GUIs to display key data insights
- Development of product quality software applications
- BSc or MSc in a data‑related subject
Preferred Qualifications:
- Strong background in statistics and data assimilation techniques
- Prototyping AI/ML techniques (e.g. LLMs and neuromorphic systems)
- Knowledge of electromagnetic spectrum systems such as radar, electronic warfare, or jamming technologies
- Interest in GPU‑accelerated architectures and high‑performance computing
- Experience using DevOps and software‑development tools such as Jira and BitBucket
Security & Eligibility:
- UK National and eligible to work in the UK
- Eligible to obtain and maintain a UK Government SC level security clearance
Equal Opportunities:
MASS is an equal opportunities employer; we know that our people are smart, skilled and motivated and in return we provide a friendly workplace where everyone is valued and has the chance to make an impact.
Senior Data Scientist employer: Mass Limited
MASS is an exceptional employer, offering a dynamic work environment in St Neots where innovation thrives. With a strong focus on employee development, we provide extensive benefits including private medical insurance, generous annual leave, and opportunities for continuous professional growth. Join us to be part of a collaborative team that values your contributions and supports your career aspirations in the exciting field of data science.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 Mass Limited!
✨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 Mass Limited.
✨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 Mass Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at Mass Limited, 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
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 Mass Limited, 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 Mass Limited. 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 Mass Limited
✨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 Mass Limited!
✨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.
