£70000 - £95000 per annum + Bonus + Benefits
3 maanden geleden
As a Data Science Manager you will manage a team on specific engagements, focused on developing new, or tailoring existing, AI solutions designed for processing large data sets (e.g., using a Hadoop framework) that accelerate our clients' digital journeys. This could include creating Proof of Concept, delivering minimal viable products or fully fledged projects including putting our models into production either on our own or our client's environments. Typical projects include, but are not limited to: retail price optimisation, fraud detection, chatbot, demand forecasting, legal contract analytics, social media analytics, ESG analytics and object recognition and tracking.
Skills and experience required:
Generating and test working hypotheses, prepare and analyse historical data, identify patterns from samples for reporting of trends and support Predictive Analytics
Leveraging data visualisation techniques and tools to effectively demonstrate patterns, outliers and exceptional conditions in the data
Creating performance metrics and tracking processes to measure the effectiveness of Data Science solutions
Conceptualising necessary data governance models to support the technical solution and assure the veracity of the data
Operating within the exploratory and experimental aspects of Data Science, e.g. to tease out interesting and previously unknown insights from vast pools of data
Working collaboratively with other members of the Data Science and Information Architecture teams to innovate and create compelling data-centric stories and experiences
Proficient with programming languages used by data scientists and in big data platforms, like Python, R, Scala.
Software engineering paradigms like scripting and Object-Oriented Programming
At least one major cloud provider (AWS, GCP, Azure), their machine learning and engineering services.
Deploying models into production preferred.
Track record in staying conversant in new analytic technologies, architectures and languages - where necessary - for storing, processing and manipulating this type of data
Demonstrated Data Science consultancy skills, e.g. participate in hypotheses workshops, mentoring more junior team members, preparing reports and presenting data science results.
* 5+ years of experience in AI, data science, data engineering and/or other technology related capabilities in one or multiple industries.
* BSc (ideally MSc or PhD) in Computer Science, Statistics, Engineering or similar technical field
* A combination of one or more of the following:
o Proficient with programming languages used by data scientists like Python, R, Scala
o Experience with Linux, git, docker
o Software Engineering best practices and Object-Oriented Programming
o Skills in data engineering technologies like Hadoop, HDFS, Spark, Elasticsearch
o SQL and NoSQL databases
o Cloud certification is a plus or willingness to work towards one of the followings:
GCP - Machine Learning Engineering
GCP - Data Engineering
Azure - Data Scientist
Azure - AI Engineering
Azure - Data Engineering