Senior Data Scientist at Anaplan
York, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

24 Oct, 25

Salary

0.0

Posted On

25 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Platforms, Sql, Version Control, Python, Data Wrangling, Physics, Mathematics, Data Science, Unit Testing, Machine Learning, Apache Spark, Statistics, Computing, Computer Science

Industry

Information Technology/IT

Description

At Anaplan, we are a team of innovators who are focused on optimizing business decision-making through our leading scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies that rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals and we have fun celebrating our wins.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and be your best self!
Anaplan is looking for a curious, pragmatic, and technically strong Data Scientist to join our growing team in Manchester or York. This is your chance to shape and deliver next-generation data science capabilities within a highly visible, large-scale SaaS cloud company.
We’re a diverse team of thinkers, builders, and innovators. We challenge the status quo and champion bold ideas that create meaningful impact for our customers. You’ll thrive here if you enjoy solving complex problems, collaborating across disciplines, and working with cutting-edge technologies.

YOUR SKILLS

  • Degree in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field.
  • Proficiency in Python for data science and machine learning (e.g., pandas, scikit-learn, PySpark).
  • Strong grasp of SQL, data wrangling, and statistical modelling techniques.
  • Experience building and deploying models on platforms such as Databricks.
  • Familiarity with Apache Spark and distributed computing.
  • Understanding of REST APIs, microservice architecture, and model deployment practices.
  • Comfort working with CI/CD pipelines, version control (Git/GitHub), and unit testing for data pipelines.
    You are driven by curiosity and grounded in strong analytical thinking. You’re equally comfortable exploring data on your own or collaborating with engineering teams to productionise your models. You’re excited about cloud-scale data platforms and believe in making data work for the business, not the other way around.
Responsibilities

Please refer the Job description for details

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