Senior Data Scientist

Reposted 2 Days Ago
Be an Early Applicant
3 Locations
Remote
Senior level
Cloud • Software • Consulting
The Role
As a Senior Data Scientist at Ascent, you'll design, implement, and deploy machine learning models while collaborating with stakeholders to deliver data-driven solutions and enhance business operations.
Summary Generated by Built In

Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through data.  

About Us    

Ascent has recently been acquired by Acuity Analytics.  This is both a significant milestone for us and a tremendous opportunity for you.  Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans.  We delivers deep insights and domain-led digital transformation to high-growth and heavily regulated organisations.  To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.

 
About the role  

In this role you’ll work on the design and implementation of deploying models into production, ensuring robust and maintainable pipelines. You’ll collaborate closely with stakeholders, building strong relationships to understand their challenges and translate complex data problems into practical, impactful solutions. 
We’re looking for someone with strong expertise in Python, machine learning and MLOps, who can combine technical rigor with a consultative mindset. You’ll act as a trusted advisor, identifying opportunities where data science can add value, shaping roadmaps and raising the profile of Data Science in the wider business. This role blends hands-on implementation, operational excellence and strategic collaboration to deliver measurable business outcomes. 
 

Skills and Experience required 

Skills and Experience   

  • Thorough knowledge of the Python language  
  • Working understanding of MLOps and DevOps frameworks  
  • Daily use of GitHub, including version control, collaboration, testing and CI/CD  
  • Superb written and verbal communication skills and demonstrated ability to communicate complex technical and statistical ideas to non-specialists effectively  
  • Experience in cloud platforms such as Azure, AWS, and Databricks 
 

What you will do 

  • Collaborate closely with key stakeholders
  • Refactor and optimise existing Python code to improve performance, readability, and maintainability
  • Design and implement new project code and MLOps frameworks for the deployment of models in production
  • Educate wider business on what Data Science is and increase Data Science team visibility
  • Partner with client teams to identify opportunities where data science could add value, helping generate demand and shape a roadmap for future work
  • Monitor existing productionised pipelines, addressing any issues in a timely manner to ensure smooth and continuous operation

  

Why join us

People are at the Heart of our Business.  By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive.  Check out this page for more details.

Top Skills

AWS
Azure
Databricks
DevOps
Git
Mlops
Python
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The Company
London
452 Employees
Year Founded: 2005

What We Do

Ascent is a design-led software, data and cloud business that specialises in advanced analytics and AI. We design, build and manage cloud-native products, solutions, platforms and experiences on Azure. Our community of engineers, architects, data scientists, experience designers and consultants is here to help customers do something new, or do something better. Ascent is home to 450+ technology specialists across 5 key European locations (UK, Germany, Portugal, Malta and Bulgaria). Our talented, consultative teams deliver a range of solutions, from digital product and service design to mobile app development, API integrations, data engineering, AI and data science. Our modern app, data and infrastructure platforms help businesses leave legacy behind and enable rapid, efficient innovation

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