Senior Data Scientist – GenAI, Time-Series & MLOps Lead

Senior Data Scientist – GenAI, Time-Series & MLOps Lead

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Anaplan Inc

At a Glance

  • Tasks: Lead the development of AI solutions and enhance enterprise planning with real-time forecasting.
  • Company: Anaplan Inc, a forward-thinking tech company in London.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with mentorship opportunities and a collaborative work environment.
  • Why this job: Join a team at the forefront of AI and make a significant impact on enterprise solutions.
  • Qualifications: Experience in data science, MLOps, and a passion for Generative AI.

The predicted salary is between 70000 - 90000 £ per year.

Anaplan Inc in London is seeking a Senior Data Scientist to own the full lifecycle of AI solutions—from model training and fine-tuning to deploying production-grade services that power our enterprise planning platform.

You will bridge traditional predictive math with Generative AI, building features across the stack and shipping robust, real-time forecasting capabilities with strong MLOps and mentorship responsibilities.

Senior Data Scientist – GenAI, Time-Series & MLOps Lead 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.

Anaplan Inc

Contact Details:

Anaplan Inc Recruitment Team

We think you need these skills to ace Senior Data Scientist – GenAI, Time-Series & MLOps Lead

Python
Communication Skills
SQL
Problem-Solving Skills
Data Engineering
Automation
Data Pipeline Development