At a Glance
- Tasks: Design and implement advanced AI models to revolutionise business planning.
- Company: Join Anaplan, a leader in AI-driven decision-making for Fortune 50 companies.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Embrace diversity and bring your authentic self to work every day.
- Why this job: Make a real impact with cutting-edge AI technology in a dynamic team.
- Qualifications: Experience in AI, machine learning, and strong Python skills required.
The predicted salary is between 70000 - 90000 £ per year.
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. Our customers rank among Fortune 50 leaders; Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are among the 2,400+ global companies relying on our platform. Our Winning Culture champions diversity of thought, leadership, ambitious goals, and celebrating wins big and small. We are strategy-led, values-based, and disciplined in execution, and we welcome what makes you unique.
Overview About The Role: We are seeking a Senior Data Scientist to join our greenfield AI team in London. In this role, you will own the entire lifecycle—from training and fine-tuning models to deploying them into production-grade systems that power our global enterprise planning platform. You will bridge traditional predictive mathematics with next-generation Generative/Agentic AI, working across the full stack of our AI applications to build features that businesses rely on in real time.
Your Impact
- Advanced Modeling: Design, train, and implement advanced machine learning (ML) and deep learning (DL) models to solve complex business planning and forecasting problems.
- Predictive & Time-series Forecasting: Develop robust, scalable time-series models to enhance our platform's predictive planning and scenario-modeling capabilities.
- GenAI & LLM Integration: Implement and optimize Generative AI features, focusing on fine-tuning open-source LLMs (using LoRA, QLoRA, etc.) and building RAG pipelines.
- End-to-End Deployment (MLOps): Partner with AI engineers to transition models from prototype to scalable, monitored production microservices.
- Technical Mentorship: Aid in code reviews, share best practices, and mentor other data scientists and engineers on the team.
Your Skills
- Strong hands-on professional experience in Artificial Intelligence, Machine Learning, or a highly quantitative field.
- Strong predictive modeling foundation: Deep expertise in traditional ML algorithms and time-series forecasting.
- Hands-on GenAI experience: Practical experience with LLM APIs, prompt engineering, and fine-tuning open-source models.
- Production-grade Python: High proficiency in Python and modern software practices (TDD, clean code, code review, CI/CD).
- MLOps Exposure: Experience with tools and frameworks for training, deploying, and monitoring models in production.
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 and market leadership. We hire you for who you are and want you to bring your authentic self to work every day.
Senior Data Scientist - AI employer: Anaplan
Anaplan in Manchester is an exceptional employer that prioritises diversity, equity, and inclusion, fostering a collaborative work culture where every voice is valued. Employees benefit from continuous growth opportunities through professional development and access to cutting-edge BI tools, making it an ideal environment for those looking to make a meaningful impact in the field of data analytics.
