At a Glance
- Tasks: Lead AI projects, design models, and create user-friendly interfaces for innovative solutions.
- Company: Join Anaplan, a leader in AI-driven decision-making technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace committed to equity and belonging.
- Why this job: Make a real impact by shaping the future of AI in enterprise applications.
- Qualifications: Expertise in AI, ML, and experience with LLMs and cloud infrastructure.
The predicted salary is between 80000 - 100000 £ per year.
About the Role
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.
- 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 at Anaplan that diversity, equity, inclusion and belonging are central to our success. All applicants are considered equally; we welcome individuals of all genders, sexual orientations, religions, ethnicities, ages, neurodiversity, disabilities, citizenship, and other identities. We will provide reasonable accommodation to individuals with disabilities to participate in the application 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 Inc
Anaplan is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Principal AI Data Scientist to thrive. With a commitment to diversity, equity, inclusion, and belonging, employees are empowered to contribute their unique perspectives while enjoying robust professional development opportunities. Located in a dynamic environment, Anaplan offers the chance to work on cutting-edge AI solutions that have a meaningful impact on global decision-making processes.
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 folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI data science. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Principal AI Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in AI, Machine Learning, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background aligns with our needs. Be genuine and let your personality come through – we love seeing the real you!
Showcase Your Projects:If you've worked on any cool AI projects or contributed to open-source ML initiatives, make sure to mention them! We’re keen to see your hands-on experience and how you’ve tackled challenges in the past.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Anaplan Inc
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Transformer architectures and generative AI. Be ready to discuss your experience with fine-tuning LLMs and how you've applied advanced machine learning techniques in real-world scenarios.
✨Showcase Your Projects
Prepare to talk about specific projects where you've taken models from concept to production. Highlight your MLOps practices and any challenges you faced, as well as how you collaborated with cross-functional teams to achieve success.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical scenarios or case studies during the interview. Think about how you would approach complex enterprise planning challenges using predictive analytics and deep learning models.
✨Cultural Fit Matters
Understand the company's commitment to diversity, equity, inclusion, and belonging. Be prepared to discuss how you can contribute to a positive team culture and mentor others, showcasing your leadership skills in technical environments.
