Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Support AI tools implementation and optimise workflows using data analytics.
- Company: Lucanet simplifies financial reporting with innovative solutions, trusted by over 3,500 companies worldwide.
- Benefits: Enjoy remote work, private medical insurance, a home office allowance, and a personal development budget.
- Why this job: Join a diverse team shaping the future of finance with cutting-edge AI solutions.
- Qualifications: Degree in STEM preferred, with 1-2 years of data analytics experience and a curiosity for AI.
- Other info: Inclusive workplace valuing uniqueness; apply even if you don’t meet all qualifications.
The predicted salary is between 28800 - 48000 £ per year.
Are you a recent graduate with 1-2 years of data analytics experience and a keen interest in AI? Do you want to apply your analytical skills to real-world challenges and explore AI-driven solutions? At Lucanet, we’ve been simplifying financial reporting and planning for over 20 years, empowering finance teams worldwide with our innovative CFO Solution platform. Now, backed by private equity, we’re taking things further with AI-driven solutions—and we want you to be part of it.
Why You’ll Love Working Here:
- LucaFlex: Work from anywhere globally.
- Private Medical Insurance: Your well-being is our priority.
- Home Office Setup Allowance: £300 to create your ideal workspace.
- L&D Budget: Invest in yourself and grow your skills.
- Cycle to Work Scheme: Stay active while reducing your carbon footprint.
What You’ll Do:
- Use AI & Data Analytics: Support the implementation of AI tools like Microsoft Copilot and Salesforce Einstein.
- Collaborate Across Teams: Work with stakeholders to identify business challenges and propose AI-driven solutions.
- Optimise Workflows: Analyse data to design tools and automation that improve efficiency.
- Support AI Projects: Assist in AI-related projects that shape the future of finance.
What We’re Looking For:
- Degree-level education (STEM preferred).
- 1-2 years of experience in a data analytics role.
- Some exposure to AI, through academic projects or professional experience.
- Proficiency in data analysis tools (Python, SQL, or similar).
- Curiosity about AI & LLMs – no hands-on experience required, but a willingness to learn is essential.
- Strong communication skills, with the ability to explain findings to technical and non-technical teams.
Join us and be part of an exciting journey where innovation meets stability. Apply now and help shape the future of finance with Lucanet!
About Us: Every day, we prove that managing financial data doesn’t have to be rocket science with our Corporate Performance Management software solutions. LucaNet has been growing today to simplify tomorrow since 1999. A single tool that presents financial data in a transparent, easy-to-understand way. Berlin is our home, but you’ll find us wherever reliable financial data is needed. With offices in over 14 countries across APAC, EMEA and the Americas, more than 3,500 companies in over 50 countries trust LucaNet, including brands like Toshiba, Delivery Hero, PwC, FTI Touristik, Leica, Roland Berger and Vaude.
Powered by uniqueness: Everybody’s different here and we like it that way. At LucaNet, we are powered by the uniqueness of our people and are committed to creating an inclusive work environment where everyone can grow and feels respected. The more voices we have represented in our business, the more we will all thrive, contribute, and be forward-thinking.
That’s why we only want to assess candidates based on qualifications, merit, and business needs. You are welcome at LucaNet for who you are, no matter your gender identity, sexual orientations, personal expression, racial identity, ethnicity, religious belief, and disability status. People don’t fit into neat boxes, we know that. If you think you’d excel in this position, even if you don’t cover all points, we really want to get to know you and why you’re great for the role. Please avoid including your picture, age, and marital status in your CV.
Learn more about our culture and D&I journey.
AI & Data Specialist (all genders) employer: Lucanet
Contact Detail:
Lucanet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Data Specialist (all genders)
✨Tip Number 1
Familiarise yourself with AI tools like Microsoft Copilot and Salesforce Einstein. Understanding how these tools work will not only help you in the interview but also show your genuine interest in the role.
✨Tip Number 2
Brush up on your data analysis skills, particularly in Python and SQL. Being able to demonstrate your proficiency in these tools during discussions can set you apart from other candidates.
✨Tip Number 3
Prepare examples of past projects where you've used data analytics to solve real-world problems. This will showcase your ability to apply your skills effectively and your readiness to tackle challenges at Lucanet.
✨Tip Number 4
Practice explaining complex data findings in simple terms. Strong communication skills are essential for this role, so being able to convey your insights clearly to both technical and non-technical teams will be a big plus.
We think you need these skills to ace AI & Data Specialist (all genders)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data analytics experience and any exposure to AI. Use keywords from the job description, such as 'data analysis tools', 'Python', and 'AI-driven solutions' to catch their attention.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for AI and data analytics. Share specific examples of projects or experiences that demonstrate your analytical skills and curiosity about AI technologies.
Showcase Relevant Skills: Clearly list your technical skills, especially in data analysis tools like Python and SQL. If you have worked on academic projects involving AI, mention them to show your willingness to learn and grow in this field.
Communicate Effectively: Since strong communication skills are essential for this role, ensure your application is well-structured and free of jargon. Be clear and concise when explaining your experiences and how they relate to the position.
How to prepare for a job interview at Lucanet
✨Showcase Your Analytical Skills
Be prepared to discuss your previous data analytics experience in detail. Highlight specific projects where you used tools like Python or SQL, and explain how your analysis led to actionable insights.
✨Demonstrate Curiosity About AI
Express your interest in AI and its applications in finance. Share any academic projects or self-study you've undertaken related to AI, even if you haven't had hands-on experience yet.
✨Prepare for Team Collaboration Questions
Since the role involves working with various stakeholders, think of examples where you've successfully collaborated on projects. Be ready to explain how you communicated complex data findings to both technical and non-technical audiences.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives and how they plan to integrate these solutions into their existing processes. This shows your genuine interest in the role and the company’s future direction.
