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About the role
Accelerated growth path Global exposure About Our Client The company is a well-established organisation in the technology and telecoms sector, offering services within analytics and data science. It is known for fostering innovation and providing excellent prospects for growth opportunities. Job Description Analyse structured and unstructured data to identify trends and insights. Develop and implement predictive models to support business objectives. Collaborate with cross-functional teams to understand data requirements. Prepare and present data visualisations to communicate findings effectively. Optimise machine learning models for enhanced performance and accuracy. Assist in maintaining and improving data pipelines and workflows. Stay updated on the latest advancements in data science and analytics tools. Support ad-hoc data analysis requests from internal stakeholders. The Successful Applicant A successful Junior Data Scientist should have: A degree in Data Science, Computer Science, Mathematics, or a related field. Proficiency in programming languages like Python, R, or SQL. Understanding of machine learning algorithms and statistical methods. Experience with data visualisation tools such as Tableau or Power BI. Solid analytical and problem-solving skills. Familiarity with cloud platforms and big data technologies is a plus. Accelerated growth path Global exposure About Our Client The company is a well-established organisation in the technology and telecoms sector, offering services within analytics and data science. It is known for fostering innovation and providing excellent prospects for growth opportunities. Job Description Analyse structured and unstructured data to identify trends and insights. Develop and implement predictive models to support business objectives. Collaborate with cross-functional teams to understand data requirements. Prepare and present data visualisations to communicate findings effectively. Optimise machine learning models for enhanced performance and accuracy. Assist in maintaining and improving data pipelines and workflows. Stay updated on the latest advancements in data science and analytics tools. Support ad-hoc data analysis requests from internal stakeholders. The Successful Applicant A successful Junior Data Scientist should have: A degree in Data Science, Computer Science, Mathematics, or a related field. Proficiency in programming languages like Python, R, or SQL. Understanding of machine learning algorithms and statistical methods. Experience with data visualisation tools such as Tableau or Power BI. Solid analytical and problem-solving skills. Familiarity with cloud platforms and big data technologies is a plus.
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