AI Data Solutions Engineer

Posted 4 Days Ago
Be an Early Applicant
3 Locations
Mid level
Cloud • Software • Consulting
The Role
You'll develop specs and workflows, implement quality standards, and improve data pipelines while collaborating with teams throughout the delivery lifecycle.
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 deliver 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   

You’ll work at the critical intersection of data science, data engineering, AI engineering and operations, partnering closely with our DaaS Delivery Operations team and cross-functional stakeholders. You’ll develop technical specifications, design evaluation workflows, implement quality standards, measurement frameworks, and ML-assisted applications which improve our data pipelines and unblock projects through technical innovation. 

This role is ideal for someone who is comfortable working throughout the entire presales to delivery lifecycle, rolling up their sleeves to solve complex multi-faceted problems, thrives as a technical communicator and works well as a key member of a team. 
 

Skills and Experience required  

  •  3+ years in data science or data engineering roles 
  • Proficient in Python, SQL, and common data tools (pandas, Plotly, Streamlit, Dash) 
  • Familiarity with large language models (LLMs) and deploying ML in production 
  • Experience working with APIs and interpreting technical documentation 
  • Strong problem-solving, collaboration, and communication skills 

What you will do  

Client Discovery & Presales 

  • Support sales in scoping projects and assessing technical feasibility 
  • Prepare technical demos, specifications, and sample datasets 
  • Define success metrics and baseline evaluation frameworks 

Project Delivery 

  • Build and maintain data pipelines and quality measurement systems 
  • Generate and augment synthetic datasets to accelerate client workflows 
  • Package production-ready datasets with clear documentation and QA standards 

Technical Partnership & Innovation 

  • Define production workflows and support smooth client implementations 
  • Troubleshoot technical issues and unblock delivery teams 
  • Continuously improve processes, tools, and evaluation methods 
  • Identify opportunities to extend or expand client engagements 

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

Dash
Machine Learning
Pandas
Plotly
Python
SQL
Streamlit
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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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