At a Glance
- Tasks: Lead AI projects, design advanced models, and create intuitive user interfaces.
- Company: Join Anaplan, a leader in AI-driven business decision-making.
- Benefits: Competitive salary, inclusive culture, and opportunities for growth.
- Other info: Diverse and inclusive workplace that values your unique contributions.
- Why this job: Make a real impact with cutting-edge AI solutions for top global companies.
- Qualifications: Experience in AI, ML, and strong Python skills required.
The predicted salary is between 80000 - 100000 € per year.
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
We're seeking a versatile Principal Data Scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry-leading platform by architecting and deploying cutting-edge AI solutions that drive intelligent, automated, and forward-looking decision-making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems.
Your Impact
- Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges.
- Generative AI Architecture: Architect GenAI solutions, focusing on fine-tuning proprietary and open-source Large Language Models (LLMs) via Transformer architectures for specialised enterprise data tasks.
- Next-Gen Interfaces: Design and integrate Conversational AI and autonomous Agentic AI workflows, creating intuitive experiences that can independently execute complex planning tasks.
- Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems.
- Technical Leadership: Serve as a core subject matter expert, mentoring cross-functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning.
Your Skills
- Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains.
- Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks.
- Experience fine-tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain-specific enterprise applications.
- Taken responsibility of models from concept to production, utilising strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments.
- High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines.
- Strong hands-on experience in traditional Machine Learning and deep learning techniques, specifically including Timeseries Forecasting algorithms.
Desirable
- Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field.
- Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment.
- Background in forecasting, planning, or analytics applications.
- Familiarity with Anaplan or similar enterprise planning platforms.
- Experience with A/B testing and experimentation frameworks for AI features.
- Contributions to open-source ML projects or research publications.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Principal AI Data Scientist in London employer: Anaplan
Anaplan is an exceptional employer that fosters a Winning Culture, where innovation and collaboration thrive. With a strong commitment to diversity, equity, inclusion, and belonging, employees are empowered to bring their authentic selves to work while enjoying ample opportunities for professional growth and development. Located in a vibrant environment, Anaplan offers a unique chance to work with industry-leading clients and cutting-edge AI technologies, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current or former Anaplan employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role at the company. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by diving deep into Anaplan's products and culture. Familiarise yourself with their AI-infused platform and think of ways your skills can contribute to their mission. Show them you’re not just another candidate, but someone who truly gets what they do!
✨Tip Number 3
Practice your technical skills! Since you're aiming for a Principal AI Data Scientist role, brush up on your knowledge of Transformer architectures and generative AI. Be ready to discuss your past projects and how they relate to Anaplan’s needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Anaplan team!
We think you need these skills to ace Principal AI Data Scientist in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and data science shine through! We want to see how excited you are about the role and how you can contribute to our innovative team.
Tailor Your CV:Make sure to customise your CV to highlight relevant experience that aligns with the job description. We love seeing how your skills in AI, machine learning, and predictive analytics can make a difference at Anaplan!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Principal AI Data Scientist role.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at Anaplan
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, Machine Learning, and especially Transformer architectures. Be ready to discuss your experience with fine-tuning LLMs and how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex business challenges you've tackled using advanced modelling and predictive analytics. Highlight your thought process and the impact your solutions had on decision-making.
✨Collaborate Like a Pro
Since this role involves working closely with Engineering, Product, and Design teams, be ready to discuss how you've successfully collaborated in the past. Share examples of how you transitioned AI models from prototypes to production systems.
✨Embrace Diversity and Inclusion
Anaplan values diversity and inclusion, so be prepared to talk about how you contribute to a positive team culture. Share your thoughts on how diverse perspectives can drive innovation and success in AI projects.
