AtkinsRéalis

Data Science Consultant

AtkinsRéalis

full-time

Posted on:

Location Type: Hybrid

Location: Birmingham • 🇬🇧 United Kingdom

Visit company website
✨ AI Apply
Apply

Job Level

Mid-LevelSenior

Tech Stack

AzureCloudPythonPyTorchScikit-LearnTensorflow

About the role

  • Eliciting user requirements through client engagement.
  • Working with clients to integrate data best practice and governance into refined processes to support enhanced decision-making.
  • Handling, merging, cleaning, and modelling multi-source data so that it can be further analysed.
  • Applying a variety of data analysis and visualisation techniques from statistical and/or predictive modelling through to bespoke visualisation platform development.
  • Developing and optimising data pipelines and workflows for efficient data processing.
  • Collaborating with teams of technical and non-technical users of various experience levels.
  • Communicating results through compelling visualisations and presentations.
  • Contributing to decision-making that will lead to successful delivery of projects.
  • Participating in external activities such as client engagement, conferences, and staying current with emerging technologies and trends in data science and AI.

Requirements

  • Experience in data science, analytics, or data consultancy roles.
  • Experience working in a consulting environment.
  • Proficiency in at least one programming language, preferably Python.
  • Experience in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience in statistical analysis and modelling.
  • Experience with data visualisation principles and tools (e.g., Power BI).
  • Experience with cloud platforms, preferably Azure, and big data technologies (e.g. Databricks).
  • Excellent communication and stakeholder management skills.
  • Ability to work independently and manage multiple projects simultaneously.
  • Strong written and verbal skills, including client-facing experience.
  • Good organisational and analytical skills.
  • Experience working with transportation data.
  • GIS skills are preferable.
  • Degree/Master’s Degree in Mathematics, Computer Science, Statistics, Data Science, Artificial Intelligence, or a related field.
  • Relevant certifications (e.g., DP-900, AI-900, DP-100, PL-300, AI-102) are a plus.
Benefits
  • Enjoy competitive salaries
  • Employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices.
  • Opportunities for training and professional development to grow your skills and expertise.
  • Hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisdata modellingdata cleaningdata visualisationstatistical analysispredictive modellingmachine learningprogramming (Python)data pipelinesbig data technologies
Soft skills
communicationstakeholder managementorganisational skillsanalytical skillsindependent workproject managementclient engagementcollaborationpresentation skillsdecision-making
Certifications
DP-900AI-900DP-100PL-300AI-102