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 Inc is an exceptional employer, offering a dynamic work culture that prioritises employee growth and development. As a Customer Success Director in the UKI, you will benefit from a collaborative environment that encourages innovation and provides opportunities for meaningful impact on customer experiences. With a focus on driving adoption and growth, Anaplan supports its employees with comprehensive training and travel opportunities to connect with clients across the region.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Data Scientist in London
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We think you need these skills to ace Principal AI Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Anaplan Inc, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Anaplan Inc. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Anaplan Inc
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Anaplan Inc!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
