Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Support AI tools and collaborate on data-driven solutions to enhance finance operations.
- Company: Join LucaNet, a leader in simplifying financial reporting with innovative AI solutions.
- Benefits: Enjoy remote work, private medical insurance, and a £300 home office setup allowance.
- Why this job: Be part of an exciting journey where innovation meets stability in the finance sector.
- Qualifications: Degree-level education and 1-2 years of data analytics experience required; AI exposure preferred.
- Other info: We value uniqueness and inclusivity; all identities are welcome here.
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 interviews but also show your genuine interest in the role.
✨Tip Number 2
Network with professionals in the AI and data analytics field. Attend relevant webinars or local meetups to connect with people who can provide insights about the industry and potentially refer you to opportunities.
✨Tip Number 3
Brush up on your data analysis skills, particularly in Python and SQL. Consider working on small projects or contributing to open-source initiatives to demonstrate your proficiency and passion for data analytics.
✨Tip Number 4
Prepare to discuss your analytical experiences in detail. Be ready to explain how you've tackled real-world challenges using data, as this will showcase your problem-solving abilities and fit for the role.
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 any academic or professional projects involving AI, be sure to mention them.
Communicate Your Passion: In both your CV and cover letter, convey your passion for AI and data analytics. Explain why you want to work at Lucanet and how you can contribute to their mission of simplifying financial reporting with innovative solutions.
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 Your Curiosity About AI
Since the role involves AI-driven solutions, express your enthusiasm for AI and any relevant academic projects or self-learning you've undertaken. This shows your willingness to grow and adapt in this rapidly evolving field.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration. Think of examples where you worked with different stakeholders to solve problems, as this role requires cross-team collaboration to identify business challenges.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this position. Practice explaining complex data findings in simple terms, as you'll need to convey your insights to both technical and non-technical audiences.
