We are looking to hire a highly creative data scientist to address data analytics challenges in our organization, to collect large volumes of data from varying sources, clean and interpret data, create solutions to overcome challenges, and communicate with interested parties.
To succeed in this position; you need to be curious, creative, and tech-savvy. You need to stay up to date with data programming software and apps, have an outstanding understanding of statistics and mathematics and be proficient in writing algorithms. Top candidates will be persistent and have excellent analytical and problem-solving skills.
Organization Name : IHS Markit
Post Name : Data Science
Qualification : B.E
Industry : Information Services
Employment Type : Full Time
Work Hours : 8 Hours
Job Experience : Freshers
Salary : GBP 45000 To GBP 50000 Per Year
Location : Tetbury, England, United Kingdom GL8 8RX
We bring together the deepest intelligence across the widest set of capital-intensive industries and markets. By connecting data across variables, our analysts and industry specialists present our customers with a richer, highly integrated view of their world.
That is the benefit of The New Intelligence. We’re able to isolate cause and effect, risk and opportunity in new ways that empower our customers to make well-informed decisions with greater confidence.
IHS Markit is a dynamic team that includes more than 5,000 analysts, data scientists, financial experts and industry specialists. Our global information expertise spans numerous industries, including leading positions in finance, energy and transportation.
The New Intelligence gives leaders a competitive edge when making decisions. IHS Markit analysts and experts reveal the interdependencies across industries and markets to bring our customers an even greater understanding of the global economy and a 360-degree view of risk, opportunity and financial impact.
Data Scientist Responsibilities
Having meetings with team members regarding projects.
Collecting and interpreting data.
Automating and integrating processes.
Researching solutions to overcome data analytics challenges.
Developing complex mathematical models that integrate business rules and requirements.
Creating machine learning models.
Communicating and meeting with engineers, IT teams, and other interested parties.
Sharing complex ideas verbally and visually in an understandable manner with non-technical stakeholders.
Machine learning and AI.
Data Scientist Requirements
Advanced coursework in machine learning and programming.
Experience using data visualization tools.
Experience with data querying languages, and statistical or mathematical software.
Proficient in writing algorithms, and knowing when to apply them.
Excellent understanding of statistics, multivariable calculus, and linear algebra.
Outstanding communication skills.