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- Tasks: Join us as an AI and Data Analyst, blending tech skills with strategic thinking.
- Company: Amber Labs is a dynamic tech consultancy focused on innovation and collaboration.
- Benefits: Enjoy flexible work, competitive salary, private medical insurance, and 25 days annual leave.
- Why this job: Be part of a rapidly growing start-up that values personal growth and experimentation.
- Qualifications: Background in Data Science or AI; public sector experience is a plus.
- Other info: This role requires active SC clearance and offers full and part-time options.
The predicted salary is between 28800 - 48000 £ per year.
Must hold active SC Clearance. Hybrid 1-2 days in London per week. Full and Part time opportunities available.
The Company: At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff.
About the Role: Amber Labs is seeking a technically adept AI and Data Analyst to support a high-impact strategic programme within the public sector. This role will require a blend of technical expertise, strategic thinking, and stakeholder engagement.
Key Responsibilities:
- Strategic Hub Integration: Develop user stories and integrate digital tools to enhance strategic cycles. Apply analytics and AI to support data-driven decision-making. Guide users in interpreting data and generating actionable insights.
- Technical & Strategic Advisory: Translate user needs into technical solutions, epics, and developer tasks. Advise on tooling, development methodologies, and team composition. Act as a technical liaison with external partners and internal governance.
- AI/Data Science Implementation: Design, test, and deploy AI models aligned with strategic objectives. Validate model performance and ensure ethical compliance. Collaborate with developers to embed AI into operational workflows.
- Ethical & Analytical Oversight: Evaluate ethical implications of AI use and provide governance feedback. Ensure analytical validity and best practices in AI outputs.
- Agile Delivery Participation: Engage in Sprint Planning, Daily Scrums, and Retrospectives. Identify and escalate impediments to the Scrum Master.
- Training & Stakeholder Engagement: Support training in data, analytics, and AI tailored to user needs. Represent AI/Data Science in high-level meetings. Act as a bridge between internal teams and external digital/data organisations.
Key Skills & Experience:
- Background in Data Science, AI, and Analytics.
- Experience in public sector environments is highly desirable.
- Comfortable working in agile teams and engaging with senior stakeholders.
- Able to work flexibly and adapt to evolving project needs.
Benefits:
- Competitive salary and performance-based bonus structure.
- Join a rapidly expanding start-up where personal growth is a part of our DNA.
- Benefit from a flexible work environment focused on deliverable outcomes.
- Receive private medical insurance through Aviva.
- Enjoy the benefits of a company pension plan through Nest.
- 25 days of annual leave plus UK bank holidays.
- Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources.
- Participate in a generous employee referral program.
- A highly collaborative and collegial environment with opportunities for career advancement.
- Be encouraged to take bold steps and embrace a mindset of experimentation.
- Choose your preferred device, PC or Mac.
Diversity & Inclusion:
Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued. We prohibit all forms of harassment, bullying, discrimination, and victimisation and promote a culture of dignity and respect for all. We educate all new hires on our Diversity and Inclusion policies and ensure they are aware of their rights and responsibilities to create a safe and inclusive workplace. By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities.
This role at Amber Labs is a 12 Month salary based FTC position, and all employees are required to hold active SC clearance. Please be advised that, at this time, we are unable to consider candidates who require sponsorship or hold a visa of any type.
What Happens Next?
Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.
AI and Data Analyst employer: Amber Labs
Contact Detail:
Amber Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI and Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data analytics, especially within the public sector. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and the company.
✨Tip Number 2
Network with professionals in the field of AI and data analysis, particularly those who have experience in public sector projects. Engaging with them can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've applied AI and data analytics in previous roles. Highlight your experience in agile environments and your ability to engage with senior stakeholders effectively.
✨Tip Number 4
Research Amber Labs' recent projects and initiatives. Being able to reference their work during your interview will show that you are proactive and genuinely interested in contributing to their mission.
We think you need these skills to ace AI and Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, Data Science, and Analytics. Emphasise any work you've done in public sector environments and showcase your ability to engage with senior stakeholders.
Craft a Compelling Cover Letter: Write a cover letter that reflects your understanding of Amber Labs' culture and values. Mention how your skills align with the role's responsibilities, particularly in strategic advisory and ethical oversight.
Showcase Technical Skills: In your application, clearly outline your technical expertise, especially in AI model design and data analytics. Provide examples of past projects where you successfully implemented these skills.
Highlight Collaboration Experience: Since the role involves working in agile teams, include examples of your experience in collaborative environments. Discuss how you've contributed to team success and engaged with various stakeholders.
How to prepare for a job interview at Amber Labs
✨Understand the Role and Responsibilities
Make sure you thoroughly understand the key responsibilities of the AI and Data Analyst position. Familiarise yourself with strategic hub integration, technical advisory, and ethical oversight to demonstrate your knowledge during the interview.
✨Showcase Your Technical Skills
Prepare to discuss your background in Data Science, AI, and Analytics. Be ready to provide examples of how you've applied these skills in previous roles, especially in public sector environments, as this experience is highly desirable.
✨Engage with Stakeholders
Since stakeholder engagement is crucial for this role, think of instances where you've successfully communicated complex data insights to non-technical audiences. Highlight your ability to act as a bridge between technical teams and stakeholders.
✨Emphasise Your Agile Experience
As the role involves working in agile teams, be prepared to discuss your experience with agile methodologies. Share specific examples of your participation in Sprint Planning, Daily Scrums, and how you've contributed to team retrospectives.
