What will you do?

We are looking for enthusiastic Data Scientists with 5-12 years of expertise in building and deploying models, who have an eagerness to learn and deliver large complex Digital Transformation programmes across UK & Ireland. As a Data Scientist you will be well versed in understanding business challenges or theoretical insights and implementing them as a working code. Having worked on Data Science projects and or AI projects in an Agile environment.

There are three key barriers to deploying AI and machine learning at scale:

  • Building data pipelines that feed both the development and deployment of machine learning models
  • Improving consistency, reducing effort and expanding the ability of data scientists to address the growing range of business problems from prediction to prescription
  • Building out the necessary infrastructure to support 100s of machine learning models in production, including the necessary governance and compliance patterns

Your key responsibilities will be:

  • Apply mathematical concepts to answer real world business challenges by using disparate available datasets; both structured and unstructured
  • Use data science tools and techniques to prototype and develop statistical / Machine learning models to solve business problems
  • Communicate results and hypothesis to key decision makers; both business and technical audiences
  • Running multiple analytical experiments; analysing, interpreting and translating results into business narratives
  • Establish and maintain effective working relationships with all stakeholders relevant to the achieving of business objectives
  • Experimenting with new age Data Science tools, technology and platforms
  • Work in joint multi skilled internal teams to develop joint ‘Go To Market’ propositions

What experience are we looking for?

  • Experienced in understanding business challenges or theoretical insights and implementing them as a working code
  • Hands on experience on various Machine Learning tools, libraries and development platforms
  • Experience in working across the Data Science spectrum; Data extraction / transformation, Model prototyping, validation and deployment
  • Building Predictive and/or prescriptive Machine Learning models
  • Experience in developing Deep Learning and other sophisticated models, leveraging complex unstructured data
  • Experience in working with large data sets on distributed computing tools like MapReduce, Apache Spark, Hadoop, Hive, Pig and other cloud ecosystems
  • Experience in SQL and NoSQL databases

Expertise or exposure to the following will be good to have else we will be enable you with the required training:

  • Experience in Tools such as: R, Python or Tensoflow and Keras
  • Building Models in Data Science Ecosystems such as: AWS, Azure or Google (GCP)
  • Experience in Model Deployment ecosystems: Scala, Kafka/Spark, AWS, Azure or GCP
  • Good to have exposure: Niche Platforms such as Data Robot or Dataiku and similar. Visualisation tools like: Qlikview, Tableau or similar