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Senior Data Scientist

Manchester, United Kingdom

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused 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 who 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 love celebrating our wins – big and small.

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 let’s build what’s next - together!

Anaplan is looking for a curious, pragmatic, and technically strong Data Scientist to join our growing team in Manchester. 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 Impact

  • Build and deploy scalable data science solutions using Databricks, Apache Spark, and the broader Apache ecosystem.
  • Apply statistical analysis and machine learning to generate actionable insights from complex datasets.
  • Design and run experiments (e.g., A/B testing) to support evidence-based decision making.
  • Collaborate with Data Engineers to develop clean, validated data pipelines for analytics and modelling.
  • Work with Product Owners, Designers, and Engineers to embed intelligent decision-making into our platform.
  • Use Apache Pulsar to stream real-time data and enable low-latency decision systems.
  • Clearly communicate results, assumptions, and model limitations to technical and non-technical audiences.
  • Maintain a strong focus on reproducibility, testing, documentation, and continuous improvement.

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.

Bonus points

  • Experience with Apache Pulsar or other message queues (Kafka, RabbitMQ, etc).
  • Familiarity with MLOps workflows and tools.
  • Understanding of cloud infrastructure, particularly AWS or GCP.
  • Exposure to monitoring tools (Grafana, Prometheus) and model performance tracking (MLflow).
  • Experience applying your skills in a SaaS or enterprise software context.

 

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, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! 

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.  

Fraud Recruitment Disclaimer  

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.  

Anaplan does not:  

  • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.   
  • Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.  

All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.   

 

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