Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist

Anaplan Inc
Manchester
2 weeks ago
Create job alert

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.

  • 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.

  • 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 before taking any further action in relation to the correspondence.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist Consumer Credit

Senior Data Scientist

Senior Data Scientist Consumer Credit

Senior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.