Analytics Insight has listed top 10 highest paying data science jobs in India that candidates should apply for in February 2021

The inflow of data has ballooned exponentially in recent years. As data started pouring into data centres in huge numbers, it opened the door for many opportunities, especially in data science. Technological changes in the data landscape left digital transformation as the only choice. As more and more companies turn towards digitisation, they seek people to fill data science and relative positions. The demand for data science practitioners is spread across the globe. These job opportunities are expected to surge beyond 2021, adding more than 1.5 lakh new jobs. For four years in a row, data science has been named the number one job in the US by Glassdoor. In a recent survey, Analytics Insight has concluded that by 2021, there will be over 3 million new job openings in data science worldwide. Demand for data-related professionals currently outweighs the supply, meaning that companies are willing to pay a premium to fill their open job positions. Analytics Insight has listed the top 10 highest paying data science jobs to apply for in February 2021.

Data Analyst

Average salary (Per Year): INR 6,35,379

The job of the data analyst is to assign a numerical value to these important business functions so that the company’s performance can be accessed to and compared over time. Data analyst jobs mostly involve looking at numbers and knowing how to use data to enable an organization to make more informed decisions.

Data Scientist

Average salary (Per Year): INR 8,15,779

Data scientists are big data wranglers, gathering and analyzing large sets of structured and unstructured data. A data scientist’s role combines computer science, statistics, and mathematics. They analyze, process and model data, then interpret the results to create actionable plans for companies and other organizations. Remarkably, data scientists are also analytical experts who utilize their skills in both technical and social science to find trends and manage data. The actual job involves making sense of unstructured data from sources such as smart devices, social media feeds and emails.

Data Engineers

Average salary (Per Year): INR 8,26,959

Data engineers are responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise. Data engineers are accountable for building algorithms to help give easier access to raw data. But to do this, they need communication skills to work across departments to understand what business leaders want to gain from the company’s large datasets. Data engineers also need to understand how to optimize data retrieval and develop dashboards, reports and other visualization for stakeholders.

Business Intelligence Analyst

Average salary (Per Year): INR 5,83,784

Business intelligence analysts are proficient in computer programming languages, Business Intelligence (BI) tools, technologies and systems. BI analysts determine business-critical priorities and requirements. They define KPIs (Key Performance Indicators), implement DW (Data Warehouse) strategies, and identify BI by mining big data using advanced software and tools. The BI analyst’s primary goal is to empower decision-makers with accurate, real-time, actionable insights that enhance workflow efficiency, increase productivity, strengthen market positioning, improve the competitive edge and augment customer experience.

Quantitative Analyst

Average salary (Per Year): INR 9,67,725

Quantitative analyst or ‘quant’ is a specialist who applies mathematical and statistical methods to financial and risk management problems. Investment banks, asset managers, hedge funds, private equity firms, and insurance companies employ quantitative analysts to help identify profitable investment opportunities and manage risk.

Machine Learning Engineer

Average salary (Per Year): INR 6,71,548

Machine learning engineers sit at the intersection of software engineering and data science. They leverage big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models are ready to scale as needed. Machine learning engineers focus on designing self-running software for predictive model automation. They work closely with data scientists and ensure that the models used can ingest vast amounts of real-time data for generating more accurate results.

Data Architect

Average salary (Per Year): INR 1,900,000

Data architects are senior visionaries who translate business requirements into technical requirements and define data standards and principles. After assessing a company’s potential data source, both internal and external, data architects design a plan to integrate, centralize, protect and maintain them. Data architects are responsible for visualizing and designing an organization’s enterprise management framework.

Database Administrator

Average salary (Per Year): INR 4,94,678

Database administrators create and maintain databases compatible with their companies’ needs. They oversee database updates, storage, security, and troubleshooting. Database administrators ensure that data remains consistent across the database, data is clearly defined, user’s access data concurrently and there is provision for data security and recovery control.

Statistician

Average salary (Per Year): INR 5,26,829

Statisticians practice the science of using data to make decisions. They decide what data they need and how to collect it, design experiments, collect, analyze and interpret data, and report conclusions. Statisticians often work in teams, usually including professionals from other disciplines. They interpret data and communicate results to their clients, often with the aid of mathematical techniques and software.

Enterprise Architect

Average salary (Per Year): INR 31,11,000

Enterprise architects are responsible to make sure that a company’s business strategy uses proper technology systems architecture to achieve its goals. Enterprise architects have an enormous degree of responsibility and reports directly to the chief information officer (CIO). They need to keep up with the latest trends in technology and determine whether or not they would be the right fit for a company.

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Land a career in AI with these top artificial intelligence jobs in 2021.

There is no doubt that advanced technologies have become essential in today’s businesses worldwide. Technology, particularly artificial intelligence, is providing organizations opportunities to drive business growth and innovation. Along with the ubiquitous adoption of technology, jobs in artificial intelligence are surging at an exponential rate. Analytics insight estimates that there will be 10,06,945 job openings in artificial intelligence in 2021. In India, the demand will continue rapidly with the government’s steps towards digitization and the emergence of startups and companies. The average artificial intelligence salary in India is INR 534,000, according to Glassdoor.

Here’s the list of top artificial intelligence jobs you can apply for in February 2021.

CGI Group, Inc.

Job Role: AI and ML Developer

Location: Bangalore

Job Description:

CGI is at the center of digital transformation, supporting its clients’ digital journeys and offering professionals exciting career opportunities. The company is looking for AI and ML developers. Candidates for this position must have the ability to design, develop and implement AI and ML algorithms. They should have hands-on experience in at least 2-3 Deep Learning & AI Framework and machine learning coding languages.

Requirements:

• Should have knowledge of Python and artificial intelligence.

• Experience of 2-3 ML/Data science Tools, two development tools, and 2-3 data exploration and visualization tools.

• Must have worked on 3 to 4 projects implementing AI and ML algorithms and productionalizing the same.

• Must have good communication skills and is a good team player.

• Ability to lead a project from start to finish and guide other members who are new to AI-ML, and more.

NVIDIA

Location: Pune

Job Role: Senior Software Engineer – Deep Learning

Job Description:

NVIDIA is currently seeking an experienced software engineer with strong Deep Learning and System Programming fundamentals coupled with robust C/C++ skills. The selected candidate will contribute to the development of the NVIDIA RTX Broadcast engine, a comprehensive suite of SDKs and libraries that enable AI-driven features for game broadcasting, video conferencing and content creation. He/she will architect and lead the development of next-generation deep learning and multimedia algorithms for the processing of audio and video applications.

Requirements:

• D./MS in Computer Science or a closely related engineering field with 10+ years of relevant experience.

• Strong background in Deep Learning including model design, pruning & performance optimization, transfer learning, etc.

• 4+ years of experience of leading cross-module projects and taking them to productization.

• Strong software engineering background with proficiency in C or C++.

• Hands-on expertise with PyTorch, TensorRT, CuDNN and one or more Deep Learning frameworks (Tensorflow, Keras, etc), and more.

StarTele Logic

Location: Noida

Job Role: Artificial Intelligence Developer – Machine Learning/Deep Learning

Job Description:

The ideal candidate will be responsible for using NLP and ML techniques to bring order to unstructured data. He/she should have experience in the latest techniques in AI, NLP, machine learning, including Deep Learning approaches. The aspirant will work within the engineering team to design, code, train, test, deploy and iterate on enterprise-scale machine learning systems.

Requirements:

• Experience in applying machine learning techniques, Natural Language Processing or Computer Vision.

• Strong analytical and problem-solving skills.

• Solid software engineering skills across multiple languages including but not limited to Java or Python, CC++.

• Problem solver: able to work independently, and be comfortable with deadlines and milestones.

• Deep understanding of ML techniques such as classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques, and more.

Novartis

Location: Telangana

Job Role: Procurement Data Scientist – NLP

Job Description:

The selected candidate will be required to design, develop and deliver various data science-based insights, outcomes and innovation. He/she will create “proof of concepts & blueprints” to drive faster, timely, highly precise, workable and proactive decision-making based on data-driven insights and science and shape the strategic glidepath of the company. The candidate should think creatively, conceptualize and lead projects resulting in substantial long-term impact on the company’s vision in many key strategic areas such as drug discovery/manufacturing, product launches, expanding patient access, risk mitigation, brand management, etc.

Requirements:

• S/Ph.d in Computer Science, Robotics, Mathematics, Statistics, Engineering, Finance, Economics, Medicine, Technology, and other related disciplines.

• 6 -10 years of overall experience with a demonstrated track record in data science solutions.

• Exposed to concepts in NLP & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency, Parsing, Chunking, Summarization, etc.

• Comfortable in using Python or R to build automated dashboards, and more.

EY

Location: Bangalore

Job Role: TTT – Manager – AI

Job Description:

As a member of EY’s core Tax practice, the ideal candidate will develop a deep tax technical knowledge and outstanding database, data analytics and programming skills. He/she will be required to apply machine learning techniques to deliver actionable insights. The candidate will be responsible for model development – manipulation including data exploration, training data, feature extraction and model development, validation and scoring on structured and unstructured data and to highlight patterns, anomalies, relationships and trends, and more.

Requirements:

• Bachelors / Master’s degree in Science or Statistics / Engineering / MCA/ MBA.

• An overall experience of 4+ years of which 2-3 years of hands-on work experience with AI and ML techniques and tools such as neural networks, regression, classification and clustering, NLP, ARIMA algorithms.

• A couple of years of experience with data sources and platforms such as Unix/Linux, Teradata, Hadoop, and SQL Server.

• Expertise in software such as R, Python, Java or C++, and more.

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