Senior Data Scientist in Little Paxton

Senior Data Scientist in Little Paxton

Little Paxton Full-Time 55000 £ / year No working from home possible
MASS

At a Glance

  • Tasks: Lead innovative data science projects and mentor a talented team.
  • Company: Join MASS, a global tech company focused on advanced digital services.
  • Benefits: Enjoy competitive salary, generous leave, private medical insurance, and professional development support.
  • Other info: Collaborative environment with a focus on wellbeing and career growth.
  • Why this job: Make a real impact by unlocking value from complex datasets with cutting-edge technology.
  • Qualifications: Experience in data science, strong analytical skills, and a relevant degree.

Salary £45,000 - £65,000 DOE

25 days annual leave inclusive of up to 3 days Christmas shut-down

Buy or sell up to 5 days’ annual leave

Two pension schemes to choose from

Private Medical Insurance + discounts for additional family members

Life Assurance scheme up to 4 x salary

Share Save scheme

Electric/Hybrid Car leasing scheme

Cycle to work scheme

Retail discounts

Continuous Professional development support

As our Data Intelligence capability continues to grow, we’re looking for a Senior Data Scientist to join the team and support the delivery of innovative data solutions across a range of exciting customer projects. This is a newly created position, driven by increased project demand and continued growth within our Digital Services Group. You’ll play a key role in delivering advanced data science capabilities, helping customers unlock value from complex datasets through analysis, visualisation, modelling, prediction and AI-driven solutions.

Combining hands-on technical delivery with leadership responsibilities, you’ll help shape innovative solutions, mentor colleagues and influence the future direction of our data science capability. Based at our head office in Little Paxton, St Neots, you’ll work alongside a highly skilled team of Data Scientists, Software Engineers and Technical Specialists, delivering innovative solutions for highly secure customers. This is a full-time on-site role, giving you the opportunity to collaborate closely with colleagues, share knowledge and contribute directly to project delivery within a highly skilled team environment.

How you’ll support us

As a Senior Data Scientist, you’ll provide technical leadership across a variety of projects, taking ownership of delivery while helping to guide and develop less experienced team members. You’ll work closely with project leads and customers to understand complex challenges, develop innovative solutions and ensure high-quality outcomes. You’ll also play an important role in shaping the future of our Data Science capability, identifying opportunities to apply emerging technologies and supporting business growth through technical input into bids and proposals.

Core 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.

The invaluable experience you’ll bring, to help us achieve more

We’re expecting that you’ve done this role before, so you’ll know how to balance technical delivery with leadership responsibilities whilst managing multiple priorities. You’ll bring strong analytical thinking, a passion for solving complex problems and the ability to communicate technical concepts to a variety of audiences.

Core skills and experience we’re looking for:

  • Writing scripts to provide insights into complex system performance within high-volume synthetic environments (Python or MATLAB).
  • Experience with data transformation and visualisation frameworks.
  • Generating GUIs to display key data insights.
  • Development of product quality software applications.
  • BSc or Master’s degree in a data related subject.

It would be great if you also have:

  • A 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.
  • An interest in GPU-accelerated architectures and high-performance computing.
  • Experience using DevOps and software development tools such as Jira and BitBucket.

Our non-negotiables:

  • Due to the highly secure nature of the projects you will be involved with, you must be a UK National and eligible to work in the UK.
  • Eligible to obtain and maintain a UK Government SC level security clearance.

Who is MASS?

MASS is 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 offer robust solutions to sectors where security expertise is essential. We work in partnership with customers, using skilled, technical experts. We think innovatively to provide tailored, agile and resilient solutions that secure advantage, so you’re ready for digital transformation.

Wellbeing is at the core to our culture, allowing employees to flourish and to achieve their full potential. Our people are important to us, and we take pride in our wellbeing programmes and policies that support individuals including, mental health first aiders and readily available support through our extensive employee assistance programme.

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. Apply today to see how working for MASS could work for you.

Senior Data Scientist in Little Paxton employer: MASS

MASS is an exceptional employer, offering a supportive and innovative work culture that prioritises employee wellbeing and professional development. As a Senior Data Scientist based in St Neots, you'll enjoy a competitive salary, generous annual leave, and a range of benefits including private medical insurance and continuous professional development support, all while collaborating with a highly skilled team on exciting projects that make a real impact.

MASS

Contact Details:

MASS Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientist in Little Paxton

Tip Number 1

Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for interviews by practising common questions and showcasing your technical skills. Use real-world examples from your past work to demonstrate how you’ve tackled complex data challenges.

Tip Number 3

Don’t just wait for job postings; be proactive! Research companies you admire and reach out directly. Express your interest in their work and how you could contribute as a Senior Data Scientist.

Tip Number 4

Apply through our website for a smoother process! It shows you’re genuinely interested in joining us at MASS, and you’ll get to see all the perks we offer, like professional development support and wellbeing programmes.

We think you need these skills to ace Senior Data Scientist in Little Paxton

Data Analysis
Machine Learning
AI Prototyping
Python
MATLAB
Data Visualisation
Software Development

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with Python or MATLAB, data transformation, and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our needs. Don’t forget to mention your leadership experience and how you can mentor others in the team.

Showcase Your Projects:If you've worked on any interesting data science projects, make sure to include them in your application. Whether it's developing GUIs or prototyping AI techniques, we love seeing real-world applications of your skills!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at MASS!

How to prepare for a job interview at MASS

Know Your Data Science Stuff

Make sure you brush up on your data science skills, especially in Python or MATLAB. Be ready to discuss your experience with data transformation, visualisation frameworks, and any AI/ML techniques you've prototyped. They’ll want to see that you can not only talk the talk but also walk the walk!

Showcase Your Leadership Skills

Since this role involves mentoring and guiding less experienced team members, be prepared to share examples of how you've led projects or supported colleagues in the past. Highlight your ability to balance technical delivery with leadership responsibilities.

Understand Their Needs

Research MASS and their projects to understand their specific challenges and goals. Tailor your responses to show how your skills can help them unlock value from complex datasets and contribute to innovative solutions. This will demonstrate your genuine interest in the role.

Prepare Questions

Have a few thoughtful questions ready to ask at the end of the interview. This could be about their data science processes, emerging technologies they’re excited about, or how they support continuous professional development. It shows you're engaged and serious about the opportunity.