Share this Job

Data Scientist - Senior Analyst

Date: Jan 13, 2021

Location: Kilkenny, KK, IE

Company: Glanbia

Data Scientist - Senior Analyst


An opportunity has arisen for a Data Scientist - Senior Analyst with Glanbia plc.  This is a permanent position based in our Kilkenny Office and will report to the Lead Data Analyst.



An opportunity has arisen for a Data Scientist - Senior Analyst Level to join the Glanbia Centre of Excellence for Business Intelligence and Data Analytics. 

In this role, the Data Scientist will be responsible for modelling complex business problems and uncovering business insights through the use of statistical, algorithmic, mining, and visualization techniques. The candidate will contribute to building and developing the organization’s data infrastructure and supporting the senior leadership with insights, management reports, and analysis for decision-making processes.

This is an exciting opportunity to join a dynamic team that is delivering big insights for Glanbia. The team has established a reputation for developing innovative and impactful data solutions across the multiple functions and business models within the organisation. The successful candidate will help expand the capability and capacity of the team and will take lead roles in key strategic data analytics projects. 


Key Elements of the Role

•    Building production ready analytical applications to generate insight, recognise patterns, predict behaviour and deliver content directly to users of information products.
•    Translate business needs into data science and/or reporting requirements to support executive decisions with required information.
•    Work with the Lead Data Analyst and the CoE Lead to build out the data science function in Glanbia. There is strong potential in the role for a future leadership role in data science in the organisation. 
•    Perform large-scale experimentation to identify hidden relationships between variables in large datasets using structured and/or unstructured data.
•    Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make analysis and modelling activities more efficient, impactful and insightful.
•    Determine requirements that will be used to train, test and validate machine learning models and/or algorithms.
•    Choose the most appropriate techniques (based on business need and available data), to develop custom data models and algorithms. As part of that, you will monitor, develop and/or create processes and production ready tools to analyse model performance and accuracy on an ongoing basis.
•    Work within cross-functional teams to develop and deploy models in an Azure / Databricks environment. 


Qualifications / Experience

•    Minimum Primary Degree and Masters/PhD qualification in Mathematics, Statistics, Computer Science, Data Science or a related quantitative discipline.
•    Minimum of 4 years professional post qualification work experience in the area of data science or business analytics
•    Knowledge and experience in modelling techniques and advanced applied skills e.g. significance testing, GLM/regression, statistical forecasting, clustering, decision trees, neural networks.
•    Knowledge and experience using open source technologies such as R or Python.
•    Good knowledge of SQL and experience performing ETL using SQL/Hive SQL. 
•    Demonstrable ability to write high-performance, reliable and maintainable code.
•    Experience working with reporting and visualisation tools (e.g. Tableau, d3, Power BI, Business Objects etc.).


Advantage, but not required:
•    Experience working in an Azure / Databricks environment.
•    Experience working within the Hadoop ecosystem (Cloudera or HortonWorks), including in-memory solutions (e.g. SAP HANA and Apache Spark). 
•    Knowledge and experience with a version control system (e.g. Git).

Who you are:
•    Logical thinker with a pro-active attitude, problem solving skills and demonstrable experience working with structured and unstructured datasets.
•    Good knowledge of database structures, theories, principles, and practices generally.
•    Demonstrable experience manipulating, processing and extracting value from large (disconnected) datasets using both structured and unstructured data.
•    Good organizational skills with experience supporting cross-functional teams.

•    The energy, enthusiasm and drive to make it happen.
•    A team player who has the ability to motivate others, making it fun while getting the job done.
•    Enjoys working in a fast-paced, innovative environment where the focus is on continuous improvement and the challenge to make it better.
•    Self-managing with the energy, enthusiasm and drive to make it happen.
•    Strong prioritizing skills with the ability to take on challenges as opportunities to find a better way.
•    An effective team member, who plays their role in achieving the company’s vision in line with our core values. 
•    Enjoys working in a fast-paced, innovative environment where the focus is on continuous improvement and the challenge to make it better.


Our Purpose & Values
At Glanbia we are dedicated to delivering better nutrition for every step of life’s journey. We differentiate ourselves by doing not only what is right for our business, but also what is good for our people and the communities in which we live and work. So if you’re looking to develop your career, stretch your ambitions and work for a company that has the ability to succeed on the world stage, ours is a journey you’ll want to share.