In our team you will:

• Be at the forefront of the industry, you’ll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises.
  
• Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on.
  
• Be working with famous brands and household names – no worrying about how to explain what you do to your family again!
  
• Develop your skills with our world class training programmes.
  
• Drive and implement real world solutions into production that drive business value to our clients.
  
• Work alongside global teams to collaborate and deliver the best solutions for our clients.
  
• Drive your career progression via our structured career development programs.
  
• Align with our industry partners to develop your career and the solutions we deliver for our clients.
  
  
  

In this role you will:

• Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics.
  
• Understand business requirements and support the development of business cases.
  
• Run discovery analytics to identify new and innovative opportunities.
  
• Partner with developers and engineers to deploy machine learning algorithms to deliver business value.
  
• Define approaches to embed and scale machine learning models.
  
• Build reusable assets, solutions and develop best practices for current and future business problems.
  
• Consult on complex analyses and advanced machine learning methods.
  
• Communicate and provide guidance to senior client leadership and teams.
  
• Contribute data science expertise to new sales activities.
  
• Shape DS Strategy and the delivery of DS solutions.
  
• Operate across multiple industries and functions.
  
• Develop others by bringing your unique knowledge and skillsets to the wider practice.
  
  
  

We are looking for experience in the following skills:

• Relevant work experience in data science, machine learning, and business analytics
  
• Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred)
  
• Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc.
  
• Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc.
  
• Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc.
  
• Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc.
  
• Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge.
  
• Experience of using Cloud technologies eg. AWS, GCP or Azure.
  
• Specialised visualisation techniques eg. D3.js, ggplot etc.
  
• Strong verbal/written communication & data presentation skills
  

• Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning and staying updated with the latest advancements in the field