Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data science projects, manage teams, and ensure timely delivery of outcomes.
- Company: Join a global leader in defence and aerospace, driving innovation and technology.
- Benefits: Enjoy a hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Be part of cutting-edge projects that impact global security and technological advancement.
- Qualifications: Expertise in data handling, machine learning, and strong Python skills required.
- Other info: This is a rolling contract with potential for extension based on performance.
Role: Senior/Lead Data Scientist
Location: Hybrid – 1 day onsite a week
Role Type: 6 months initially – rolling contract
Salary: up to £650 a day – depending on experience
About the Client:
Our client is a globally recognised leader in defence, aerospace, and security, delivering advanced technology and innovative solutions to safeguard nations and drive global progress. With a strong commitment to excellence, they offer world-class engineering, advanced manufacturing, and mission-critical services to clients worldwide.
Role Overview:
This is an international project, which is creating future technologies within the sphere.
Technical Leadership and Management:
- Overseeing and managing the Jira board, planning and directing sprints to meet client expectations and workflows.
- Managing and mentoring junior team members.
- Ensuring the timely delivery of agreed-upon outcomes and milestones.
- Collaborating with other delivery streams and teams to achieve common objectives.
Stakeholder Management and Planning:
- Coordinating with the community to plan and execute tri-lateral roadmaps.
- Planning and attending international conferences (TEMs).
- Managing and nurturing the UK client relationship.
- Coordinating with clients and external contractors to ensure seamless project execution.
Technical Skills:
- Expertise in dealing with data.
- Knowledge of machine learning models and architectures, including supervised learning.
- Experience with GPU training and supporting libraries such as CUDA and PyTorch.
- Proficiency in the broader data science ecosystem, including pandas and numpy.
- Familiarity with Kafka data streaming and multiprocessing for deploying models.
- Strong general Python development skills and adherence to software best practices.
Data Scientist employer: Indotronix Avani UK
Contact Detail:
Indotronix Avani UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Make sure to showcase your experience with machine learning models and architectures during networking events or discussions. This will help you stand out as a candidate who not only understands the technical requirements but also has practical knowledge in the field.
✨Tip Number 2
Engage with online communities and forums related to data science, especially those focusing on GPU training and libraries like CUDA and PyTorch. This can help you connect with industry professionals and gain insights that could be beneficial during interviews.
✨Tip Number 3
Consider attending relevant international conferences or webinars where you can meet potential colleagues and clients. Networking in these environments can lead to valuable connections and opportunities within the defence and aerospace sectors.
✨Tip Number 4
Familiarise yourself with tools like Jira for project management, as this is a key part of the role. Being able to discuss your experience with managing sprints and mentoring junior team members will demonstrate your leadership capabilities to potential employers.
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 your expertise in machine learning models and Python development. Use keywords from the job description to ensure it aligns with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your technical leadership skills and experience managing teams. Mention specific projects where you've successfully delivered outcomes and how you can contribute to the company's goals.
Showcase Technical Skills: In your application, emphasise your proficiency with tools and libraries mentioned in the job description, such as CUDA, PyTorch, pandas, and numpy. Provide examples of how you've used these in past projects.
Highlight Stakeholder Management Experience: Include any experience you have in stakeholder management and planning, especially in coordinating with clients or external contractors. This will demonstrate your ability to manage relationships and ensure project success.
How to prepare for a job interview at Indotronix Avani UK
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning models and architectures. Highlight specific projects where you've successfully implemented supervised learning techniques, and be ready to explain your familiarity with tools like CUDA and PyTorch.
✨Demonstrate Leadership Skills
Since the role involves managing and mentoring junior team members, share examples of how you've led teams in the past. Discuss your approach to overseeing projects, managing sprints on Jira, and ensuring timely delivery of outcomes.
✨Prepare for Stakeholder Management Questions
Expect questions about your experience in coordinating with clients and external contractors. Be ready to discuss how you've nurtured client relationships and executed project roadmaps, especially in an international context.
✨Familiarise Yourself with the Company’s Mission
Research the client’s work in defence, aerospace, and security. Understanding their commitment to innovation and technology will help you align your answers with their values and demonstrate your genuine interest in the role.
