AI Consultant

Application Deadline: 16 May 2025

Department: Delivery

Employment Type: Full Time

Location: Bristol, UK

Reporting To: Calvin Fuss

Compensation: £30,000 - £40,000 / year

Description

We’re looking for a talented and curious AI Consultant to join our small but mighty AI & Advanced Analytics team, where you’ll work on impactful projects that help uncover key business insights for our enterprise clients. You’ll be part of a supportive and collaborative team, with guidance from experienced professionals while having the autonomy to shape and analyse complex data sets.

In this role, you’ll focus on data analytics; interpreting trends, identifying influencing factors, and applying statistical models to uncover meaningful insights. You’ll need a strong foundation in mathematics and statistics, along with hands on experience with SQL or Python for data transformation and analysis.

Whether you have experience in retail, energy, or other data-rich industries, or bring relevant academic expertise, this is a fantastic opportunity to grow your career in a dynamic and inclusive environment. If you’re passionate about using data to solve real-world challenges and communicate insights in an accessible way, we’d love to hear from you.

What you'll be doing...

• Conducting in depth exploratory data analysis on large datasets to identify meaningful trends, patterns, and anomalies
  
  
• Selecting, tuning and validating statistical and machine learning models including classification, regression and generative AI techniques to deliver robust analytical outcomes
  
  
• Cleaning, transforming and engineering features from structured and unstructured data using SQL and Python to support model development and insight generation
  
  
• Partnering with senior AI consultants and key business stakeholders to shape data driven project objectives and define success metrics
  
  
• Communicating complex technical results through clear, actionable insights that support strategic business decision making
  
  
• Designing intuitive visualisations and interactive dashboards to effectively present findings and support user engagement
  
  
• Contributing to high impact initiatives such as customer segmentation, churn prediction and process optimisation through advanced analytics

What you'll need to succeed...

• A strong foundation in mathematics and statistics, with a focus on applying data driven approaches to machine learning and predictive modelling
  
  
• Hands-on experience working with large and complex datasets in domains such as retail, energy or other data rich industries
  
  
• Proficiency in SQL and Python for data extraction, transformation, feature engineering and model development
  
  
• Practical knowledge of machine learning workflows, including supervised and unsupervised learning, model evaluation and optimisation
  
  
• Familiarity with visualisation tools to effectively communicate model outputs and data driven insights
  
  
• The ability to present complex DSML concepts to both technical and non technical audiences, supporting data informed decision making
  
  
• Strong analytical thinking and attention to detail, with a structured approach to solving real world problems through data
  
  
• A collaborative and research oriented mindset, embracing continuous learning, open communication and interdisciplinary teamwork

So, what's in it for you?

• The opportunity to work on real-world AI and analytics projects that shape business decisions.
  
  
• A supportive and experienced team, with mentorship from senior professionals.
  
  
• The chance to present insights to stakeholders and leadership, building your confidence and influence.
  
  
• A culture of continuous learning and development, where your growth is supported.
  
  
• A collaborative, inclusive, and innovation-driven environment where your contributions are valued.