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 workflows.
- Company: Lucanet simplifies financial reporting with innovative software, trusted by over 3,500 companies worldwide.
- Benefits: Enjoy remote work flexibility, private medical insurance, and a £300 home office setup allowance.
- Why this job: Join a diverse team shaping the future of finance through AI innovation and collaboration.
- Qualifications: Degree in STEM preferred, with 1-2 years of data analytics experience and a curiosity for AI.
- Other info: We value uniqueness and inclusivity, welcoming candidates from all backgrounds.
The predicted salary is between 28800 - 43200 £ 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 to discuss real-world applications of AI in finance. Think about how AI-driven solutions can solve common business challenges, as this will showcase your analytical thinking and problem-solving abilities.
✨Tip Number 4
Practice explaining complex data findings in simple terms. Since you'll be collaborating with both technical and non-technical teams, being able to communicate effectively is crucial for success in this 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 specific examples from your academic projects or previous roles that demonstrate your analytical skills and curiosity about AI.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their mission of simplifying financial reporting and your eagerness to contribute to AI-driven solutions.
Showcase Relevant Skills: Clearly list your proficiency in data analysis tools like Python and SQL. If you have experience with AI tools, even if it's academic, make sure to include that as well to show your readiness for the role.
Communicate Your Willingness to Learn: Emphasise your curiosity about AI and LLMs in your application. Highlight any self-directed learning or courses you've taken related to AI, showcasing your commitment to growing your skills in this area.
How to prepare for a job interview at Lucanet
✨Show Your Passion for AI
Make sure to express your enthusiasm for AI and data analytics during the interview. Share any relevant projects or experiences, even if they were academic, to demonstrate your interest and willingness to learn more about AI-driven solutions.
✨Highlight Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis tools like Python or SQL in previous roles. Be ready to explain your thought process and how your analytical skills can contribute to solving real-world challenges at Lucanet.
✨Communicate Clearly
Since the role involves collaborating with both technical and non-technical teams, practice explaining complex concepts in simple terms. This will showcase your strong communication skills and ability to bridge gaps between different stakeholders.
✨Research Lucanet's Culture
Familiarise yourself with Lucanet's values and commitment to diversity and inclusion. During the interview, mention how you align with their culture and how you can contribute to creating an inclusive work environment.
