At a Glance
- Tasks: Lead AI projects, design models, and create user-friendly interfaces for innovative solutions.
- Company: Join a forward-thinking tech company revolutionising decision-making with AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentorship and continuous learning.
- Why this job: Make a real impact in AI while working on cutting-edge technology.
- 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 Time‑Series 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 specialized 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 in 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.
- Ownership of models from concept to production, utilizing 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 Time‑Series 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.
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. As set forth in Anaplan’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Principal AI Data Scientist employer: Anaplan
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 employee growth, we offer extensive opportunities for professional development and mentorship, alongside a supportive work environment that values diversity and inclusion. Located in a vibrant tech hub, our team enjoys access to cutting-edge resources and a dynamic community, ensuring that your contributions will have a meaningful impact on our industry-leading platform.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨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 and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Principal AI Data Scientist
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 bridge the gap between traditional algorithms and modern systems!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for the role. Don’t forget to mention specific projects or achievements that align with our needs at StudySmarter.
Showcase Your Technical Skills:Since this role requires deep technical knowledge, be sure to include any relevant programming languages, tools, and frameworks you’re proficient in. We love seeing hands-on experience with Python, MLOps, and LLMOps practices!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Anaplan
✨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 modelling techniques in real-world scenarios.
✨Showcase Your Projects
Prepare to talk about specific projects where you've led the design and implementation of AI solutions. Highlight your role in transitioning models from prototypes to production, and be ready to discuss the challenges you faced and how you overcame them.
✨Collaborate Like a Pro
Since this role involves working closely with Engineering, Product, and Design teams, think of examples that demonstrate your collaborative skills. Share how you've mentored others or contributed to a culture of technical excellence in previous roles.
✨Ask Smart Questions
Prepare insightful questions about the company's AI strategy and how they envision the future of their platform. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
