Data Scientist
Permanent
Reading /Home
We have an exciting opportunity for a Data Scientist to join our busy Team, working for a Telecommunications Company.
The Data Scientist supports end-to-end data science projects, whilst collaborating with product engineers and data engineers to design and build algorithms to Improve decision making, optimizing constraints and Improving predictions.
They derive Innovative approaches and understanding through the application of data science techniques on structured and unstructured data and have a pivotal role in Identifying, Innovating and developing data products that drive revenue growth, operational efficiencies or risk/fraud reduction.
Responsibilities of the Data Scientist include:
Accountable for developing ML/AI solutions that leverage our business (BSS) and network (OSS) data efficiently
Accountable to source, extract and transform data assets into data models that deliver front-line impact
Drive the right customer outcomes using the Data Science Toolkit and Data Science life-cycle
Apply structured and analytical problem-solving and learn new business and technology skills on-the-job
Prepared to challenge the status-quo and to push-back where AI/ML is not the answer to the question.
Enable cost-effective design, development, test, optimisation, and deployment of data science solutions
Support Business Partners with requirements, tier-3 solution support, model remediation and training
Understand, align and expand existing solutions ensuring reuse and continuous improvement of our data
Input into planning, estimation and prioritisation within an agile framework to fulfil the backlog
Line manage, continuously improve, educate, certify and mentor ‘citizen data scientists’ across our business
Collaborate with data analysts, data engineers, business SMEs and product engineers to innovate successfully
The successful Data Scientist will have:
Intermediate knowledge of a cloud-based data science toolbox and life-cycle which has driven business benefit
Expertise in 2 or more relevant languages (Python, R, Scala) and proven cloud data engineering skills
Proven ownership of build and validation of advanced models/algorithms that solve a core customer issue
Recent experience delivering AI/ML and NLP solutions in Databricks with tangible business benefits desired
Great SQL, data preparation, visualisation, code control and cloud deployment experience (Azure Is Ideal)
A PhD (or equivalent research experience) with >2 years of commercial experience as a practicing data scientist
To apply for the Data Scientist, please send your CV to [email protected]
