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For Companies At a Glance
- Tasks: Lead a dynamic team in tackling data challenges and delivering actionable insights.
- Company: Join a cutting-edge data science company with strong ties to the UK Defence and commercial sectors.
- Benefits: Enjoy a competitive salary, generous leave, and perks like free daily fruit and team socials.
- Why this job: Be part of an innovative environment that values your contributions and offers growth opportunities.
- Qualifications: Degree in a numerate field and expertise in machine learning and programming, especially Python.
- Other info: Must be eligible for Security Clearance and hold a British Passport.
The predicted salary is between 80000 - 90000 £ per year.
Role: Lead Data Scientist
Location: Bristol | Hybrid – 3 days WFH a week
Role Type: Permanent
Salary: £80k to £90k, depending on experience
About the Client:
Based in Bristol, the client is a dynamic data science and technology company. Acquired by the biggest & most influential player in their sphere in 2020, they retain their independent identity while accessing a wealth of opportunities within the broader parent’s ecosystem. As a leader in data-driven decision support for the UK Defence, Commercial, and Public sectors, they specialise in engineering, logistics supply chain, finance, and personnel.
Role Overview:
Forming part of a new team, as the Lead Data Scientist you will coordinate this team, looking after the technical aspects & work across diverse projects. Your responsibilities will also include:
- Translating business challenges into testable hypotheses and conducting detailed analysis.
- Applying advanced machine learning techniques and delivering actionable insights.
- Engaging in projects ranging from data exploration and visualisation to building algorithms for integration into software and creating data pipelines.
- Exploring and adopting new tools and methodologies in secure customer environments.
Required Skills and Experience:
- A degree or equivalent practical experience in a numerate field (e.g., maths, physics, economics, or engineering).
- Proficiency in statistical and machine learning techniques for complex datasets.
- Strong programming and data handling skills, particularly in Python or similar languages.
- Proven experience in developing data science solutions from proof of concept to implementation.
- Expertise in deep learning, neural networks, and working with unstructured data (e.g., text, images, video).
- Excellent communication and stakeholder management skills.
- Experience leading teams in a data / data science setting
Desirable Skills:
- Experience with Python frameworks such as Django or Flask.
- Familiarity with DevOps practices and infrastructure preparation.
- Knowledge of Agile project methodologies.
- Proficiency with relational databases (e.g., SQL, Oracle).
- Defence industry experience.
- Competence in BI tools such as PowerBI or Tableau.
- Familiarity with version control (e.g., Git) and CI/CD development practices.
Rewards and Benefits:
Our client values hard work and believes in rewarding it, their comprehensive benefits include:
- Competitive salary with performance-related bonuses.
- Contributory pension scheme.
- 25 days of annual leave plus bank holidays.
- Life insurance (6x salary).
- Share Incentive Plan.
- Generous sick pay.
- Enhanced parental leave benefits.
- Flex Benefit programme.
- Regular team socials and perks such as free daily fruit at the office.
Security Clearance: Given the nature of some of the work involved, the ability to obtain Security Clearance is essential, as well as having a British Passport
Lead Data Scientist employer: Indotronix Avani UK
Contact Detail:
Indotronix Avani UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Make sure to showcase your leadership experience in data science. Highlight any previous roles where you coordinated teams or projects, as this is crucial for the Lead Data Scientist position.
✨Tip Number 2
Familiarize yourself with the latest machine learning techniques and tools. Being able to discuss recent advancements or methodologies can set you apart during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've translated business challenges into actionable insights. This will demonstrate your ability to apply your skills in real-world scenarios.
✨Tip Number 4
Since the role involves working with unstructured data, be ready to talk about your experience with deep learning and neural networks. Having concrete examples will strengthen your candidacy.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Lead Data Scientist position. Understand the key responsibilities and required skills, and think about how your experience aligns with these.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, machine learning, and team leadership. Use specific examples that demonstrate your proficiency in Python and your ability to deliver data-driven insights.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your leadership experience and ability to engage with stakeholders. Mention your familiarity with Agile methodologies and any relevant projects you've led.
Highlight Security Clearance: If you have experience or the ability to obtain Security Clearance, make sure to mention this in your application. This is essential for the role and can set you apart from other candidates.
How to prepare for a job interview at Indotronix Avani UK
✨Showcase Your Technical Expertise
As a Lead Data Scientist, you'll need to demonstrate your proficiency in statistical and machine learning techniques. Be prepared to discuss specific projects where you've applied these skills, especially in complex datasets.
✨Communicate Clearly
Excellent communication is key for this role. Practice explaining technical concepts in simple terms, as you will need to engage with stakeholders who may not have a technical background.
✨Highlight Leadership Experience
Since this position involves leading a team, share examples of your previous leadership roles. Discuss how you coordinated projects, mentored team members, and drove successful outcomes.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach translating business challenges into testable hypotheses and the methodologies you would adopt in various scenarios.
