Job Details

Data Scientist - Contract

MBR Partners
Advertiser
MBR Partners
Location
Reading
Rate
-


The Role
Data Scientist (Contract/Full time)

Who we are looking for people:
• Strong analytical skills, eager to learn attitude for logical problem solving skills
• Enthusiastic, can-do attitude who can work independently as well as in a team
• Strong communication skills across different stakeholders level
• Previous working experience in software engineering/development
• Any involvement in a project to implement a machine learning model from scratch and refining it would be a distinct advantage
Responsibilities
• Designs and build descriptive, predictive and prescriptive analytics models fulfilling use cases making use of classical and advanced algorithms and approaches
• Collaborate with R&D team (Engineers, Product Managers, SME, Architects, etc) to formulate development and implementation strategies
• Manage ML/AI Proof Of Concepts projects with strategic customer and prospects
• Works with internal and external stakeholders to identify/detail the requirements/use cases and the expected outcome both technical and business

The Person
Must have
• Knowledge & working experience on a range of Machine Learning and AI techniques (e.g. supervised and un-supervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, NLP, etc)
• Experience in R, Python(relevant libraries PySpark, Pandas, etc), Scala, Java
• Familiar with programing principles and best practices
• Cutting edge experience with cloud based and Big Data advanced predictive modeling and statistical analysis tools being integrated with other software systems using heterogeneous querying and API methods
• Experience in applied data analysis, particularly in applied predictive modeling and statistical analysis

Preferable
• Working knowledge/experience of telecommunications data (i.e. Transport data)
• Significant experience with event and time-series data analytics ( i.e. ARIMA model)
• Familiarity with cloud computing and big data technologies.
• Undergraduate or advanced degree in Statistics, Mathematics, or a related quantitative field




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