At a Glance
- Tasks: Join us as a Data Scientist, developing cutting-edge AI and ML solutions for real-world challenges.
- Company: Sirius Digital delivers bespoke software solutions in AI, Robotics, and more, pushing tech boundaries.
- Benefits: Enjoy a competitive salary, 25 days holiday, pension contributions, private healthcare, and training opportunities.
- Why this job: Be part of an innovative team, tackling complex problems while building valuable relationships with clients.
- Qualifications: 2+ years in data science with experience in ML/AI; strong STEM background preferred.
- Other info: Candidates must be UK residents or willing to relocate; SC clearance may be required.
The predicted salary is between 32000 - 56000 £ per year.
We are looking for a Data Scientist consultant. We provide, through Sirius Digital, bespoke, robust and high-performance software to meet and exceed user requirements. We specialise in Software Engineering, Modelling & Simulation, Robotics & Autonomous Systems, Synthetic Environments, and AI & Machine Learning (ML).
Our team provides adaptable and highly skilled capability, with a range of specialities, to ensure that the right techniques are used to solve your problem.
The Role:
As a Data Scientist, you will play a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI) models, along with providing key advice around innovation and new techniques to stakeholders. You will be designing solutions for complex challenges and will integrate code with software engineers.
Responsibilities will include:
- Delivering technical consulting projects.
- Developing and delivering AI / ML solutions using a large range of techniques (e.g. ML, NLP, LLMs, Motion Capture, Image Recognition, OCR, …)
- Building new relationships and maintaining current customer relationships.
- Applying mathematical and computational methods to tackle real world problems, applying tools and techniques, and developing novel approaches where required.
Expertise Required:
We are happy to consider applicants with a range of experience:
- Data Scientist: 2+ years’ experience, including developing ML / AI projects.
- Senior Data Scientist: 5+ years’ experience, including productionising ML / AI projects.
About You:
The successful candidate must be able to demonstrate the following attributes:
- Ability to understand and describe a range of data science techniques.
- Experience in managing data and implementing data science processes.
- Ability to apply knowledge in statistics and machine learning to real world problems.
- Experience in translating customer requirements into quantitative models.
- Experience in one or more of the following technical disciplines:
- Natural language Processing (NLP)
- ML (e.g. Random Forests, CatBoost, LXGM, …)
- Image Recognition
- Optical Character Recognition (OCR)
- Motion Capture
Desirable:
The ideal candidate will be educated to degree level or have equivalent relevant experience. We’d love you to bring a strong STEM / computing background. Experience, awareness or interest in the Nuclear Energy AI solutions would be of interest.
What we offer:
We offer a combination of mentoring and internal and external training opportunities, with specialist sector organisations and in-house courses. You will have exposure to subject matter experts and additional online learning packages. The role comes with a competitive benefits package including pension (7% company contribution), additional holiday purchase options, private health care, life assurance and electric vehicle scheme.
Other Requirements:
Candidates must have an existing right to live and work in the UK. Candidates will need to undergo an internal BPSS check prior to gaining site access. Candidates will also need to either hold a current SC clearance or be willing and eligible to undergo a Security Clearance check (SC level) upon starting their employment with the company. To gain SC clearance you will normally need at least 5 years’ UK residency. This role includes in-place work within the Portsmouth area, so candidates would need to be residents within the local area, or willing to relocate.
Locations
Data Scientist employer: Sirius Digital Services
Contact Detail:
Sirius Digital Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific AI and ML techniques mentioned in the job description, such as NLP, image recognition, and OCR. Being able to discuss these topics confidently during your interview will show that you have the relevant knowledge and skills.
✨Tip Number 2
Network with professionals in the data science field, especially those who work in sectors related to software engineering and AI. Attend industry meetups or webinars to build connections that could lead to referrals or insights about the role.
✨Tip Number 3
Prepare to discuss real-world applications of your data science projects. Be ready to explain how you've translated customer requirements into quantitative models, as this is a key aspect of the role.
✨Tip Number 4
Research StudySmarter and our approach to data science and AI solutions. Understanding our company culture and values will help you tailor your responses in interviews and demonstrate your enthusiasm for joining our team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in Machine Learning (ML) and Artificial Intelligence (AI). Include specific projects you've worked on that demonstrate your skills in these areas.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also explains why you're interested in this specific role. Mention how your background aligns with the company's focus on bespoke software solutions and your enthusiasm for tackling complex challenges.
Showcase Technical Skills: In your application, clearly list your proficiency in programming languages like Python, R, or C++, and any relevant libraries. Highlight your experience with database protocols and any specific techniques you’ve used in previous projects.
Demonstrate Problem-Solving Ability: Provide examples of how you've applied mathematical and computational methods to solve real-world problems. This could be through case studies or specific instances where you translated customer requirements into quantitative models.
How to prepare for a job interview at Sirius Digital Services
✨Showcase Your Technical Skills
Be prepared to discuss your experience with various data science techniques, especially in ML and AI. Highlight specific projects where you've applied these skills, and be ready to explain the methodologies you used.
✨Understand the Company’s Focus
Research Sirius Digital and their specialisations in software engineering and AI solutions. Understanding their business model and how your role as a Data Scientist fits into their objectives will impress the interviewers.
✨Prepare for Problem-Solving Questions
Expect to tackle real-world problems during the interview. Practice explaining how you would approach complex challenges using data science techniques, and be ready to demonstrate your thought process.
✨Emphasise Communication Skills
As a Data Scientist, you'll need to translate technical concepts to non-technical stakeholders. Prepare examples of how you've successfully communicated complex ideas in the past, and be ready to discuss your experience in building relationships with clients.