One of the hottest jobs of the 21st century, data science plays a crucial role when it comes to deriving meaningful insights from large chunks of data for decision-making in organisations. According to reports, as of March 2020, the analytics function in India earned consolidated revenues of $35.9 B – a 19.5% growth in revenue over last year, where 16% of the analytics revenues across all enterprises are attributed to advanced analytics, predictive modelling, and data science.
In this article, we list down 8 data science and analyst jobs for freshers to apply right now.
(The list is in no particular order)
1| Data Scientist at Siemens
Responsibilities: As a data scientist, you will work with large, complex data sets and apply advanced analytical methods as needed, develop custom data models and algorithms to apply to data sets. You will also run POCs and pilot projects to investigate and prove the feasibility and benefits of the proposed solutions, interact with multiple partners (from various levels) and optimally present findings by exploiting visual displays of complex quantity information in a simplified way, among others.
2| Data Science (Jupyter/Azure ML/MatLab) at Accenture
Responsibilities: In this role, you will develop analytics-based solutions that produce quantitative and qualitative business insights, work with partners as necessary to integrate systems and data quickly and effectively, regardless of technical challenges or business environments. Besides, you should be experienced in querying databases, statistical computer languages: R, Python, SLQ, etc., working in statistical and data mining techniques such as GLM/regression, random forest, boosting, trees, text mining, social network analysis, and other such.
3| Data Scientist at Talent Tigers
Responsibilities: You will be applying technical and analytical expertise to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights, which can provide a competitive advantage or address a pressing business problem. You should have expertise in computer science software development and the latest technologies to analyse and implement analysis infrastructure and tools analytic workflow processes and complex data visualisations.
4| Data Science Platform Administrator
Responsibilities: As a data science platform administrator, you should have a clear understanding of GPU and its relationship with deep learning and neural networks. You should demonstrate experience along with developing and managing complex technical projects that involve parallel and distributed computing, including Hadoop, the Apache Stack and other related technologies
5| Data Analyst at Reliance Jio Infocomm
Responsibilities: This position requires the individual to stitch together fields of machine learning, data design, data mining, statistics, user behaviour, computational economics and data streams to define and drive mobile user research at RJIL. You will be responsible for solving complex big-data problems in mobility and cloud applications space using data mining, machine learning, statistical analysis and computational economics.
6| Consultant Data Analyst at Swaps Monitor
Location: New Delhi
Responsibilities: As a consultant data analyst, you will take part in the analyst standard programs where you will enhance your financial markets, culture and country knowledge, learn about data and build relationships throughout the company’s offices in New York, London, and New Delhi. You will be analysing the information gathered and ensure that published data is accurate, drawing on extensive knowledge of the habits, patterns and culture pertaining to each financial centre.
7| Data Analyst at AKS ProTalent
Responsibilities: As a data analyst, you will interpret data and analyse results using statistical techniques and provide reports. In addition, you will be involved in developing and implementing databases, data collection systems, data analytics and other strategies that optimise the statistical efficiency and quality, work with management to prioritise business and information, locate and define new process improvement opportunities.
8| Data Analyst at Cerner
Responsibilities: As a data analyst, you will analyse, prepare, and process data sets to be consumed for direct insights, statistical modelling or other analytical exploration for internal and external clients. You will also access and compile data sets from various sources for exploratory and pre-defined analyses, audit data sets for completeness, validity, and other pertinent data health measures. The role will also involve evaluating data sets for analytical possibilities and pitfalls, conducting basic statistical testing and exploratory data analysis and creating basic data visualisations.
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A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box.