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Data Science Jobs
About Accenture: Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine u
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About Accenture: Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine u
Skills :
About Accenture: Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine u
Skills :
Job Description : * Job Responsibilities : 1. Specify, design, and implement new data science applications, methodologies,models,and algorithms 2. Help analyze business cases, formulate the problems and provide practical solution
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Job Description : * Job Responsibilities : 1. Specify, design, and implement new data science applications, methodologies,models,and algorithms 2. Help analyze business cases, formulate the problems and provide practical solution
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Job Description : * Job Responsibilities : 1. Specify, design, and implement new data science applications, methodologies,models,and algorithms 2. Help analyze business cases, formulate the problems and provide practical solution
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Job Description : * Job Responsibilities : 1. Specify, design, and implement new data science applications, methodologies,models,and algorithms 2. Help analyze business cases, formulate the problems and provide practical solution
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Job Description : Advisor Data Science As a Data Science Advisor, you will be the analytics partner for the Customer & Finance Services leaders, to develop solutions and frameworks to enable them to drive their strategies using insights from custom
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DESCRIPTION Hundreds of millions of customers, billions of transactions, petabytes of data… How to use the world's richest collection of e-commerce and device usage data to acquire new customers, target existing customers, and predict customer behav
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We are looking for a Delivery Data Scientist in India time zone, to drive innovation and customer transformation through consulting. The ideal candidate will have a mix of technical hands-on skills as well as ability to influence customers in engagem
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About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 160 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a ch
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Skill required: Data Science - Python Programming Language Designation: Analyst About Accenture Operations Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience a
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Job Summary . Manager - Payments - Data Science Job Purpose 'This position is open with Bajaj Finance ltd.' To lead payments Data BI & Analytics initiatives pertaining to Sales Compliance for Bajaj Finance Ltd Job Duties & Key Responsibilities . D
With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world's biggest brands-and we have fun doing it. Now, we're calling all you rule-breakers and risk-takers who see the world differently, and are
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About Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Int
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Lead Algorithm/Analytics Data Science
Reliance Jio Infocomm LimitedJob Description : * Job Responsibilities : Design and document functional and non-functional requirements using detailed user stories and use cases for automated RF Coverage Management and Performance Management on a GISCreate al
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Unit Manager - Payments - Data Science/Senior Unit Manager - Payments - Data Science
Bajaj Finance LimitedJob Summary . Unit Manager - Payments - Data Science/Senior Unit Manager - Payments - Data Science Job Purpose 'This position is open with Bajaj Finance ltd.' To lead payments Data BI & Analytics initiatives pertaining to customer service for Bajaj
Job Description : Job Description At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or
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Job Summary * Data Science Engineer Job Purpose 'This position is open with Bajaj Finance ltd.' Job Duties & Key Responsibilities * Duties and Responsibilities - Duties and Responsibilities: Key Role Responsibilities 1. Develop | Build | Manage |
Job Description : Senior Software Engineer - Data Science The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platfor
Professional Skilled Program.
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Job Description : Data Science Advisor Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new
Professional place for Interns.
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Data Science Internship in Ahmedabad
Maxgen Technologies Private LimitedProfessional place for skilled Interns.
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With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world&rsquos biggest brands&mdashand we have fun doing it. Now, we&rsquore calling all you rule-breakers and risk-takers who see the world diffe
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Data Science Job Vacancies
Data science is one of the most in-demand technologies today. It’s a field that involves the gathering of vast amounts of data, and unravelling hidden patterns and trends in those to drive the growth of an organisation. With data being generated at an unstoppable pace, the need for individuals to process and make sense of the same has become paramount.
✅ Who is a data scientist?
A data scientist is someone who gathers and analyses large sets of data — mostly messy and unstructured — and puts the findings into perspective to make it more valuable for an organisation.
A data scientist has to have a unique blend of skills because the role involves a mix of computer science, statistics, and mathematics. Based on the insights of a data scientist, an organisation can identify trends that help them make better decisions and create new job opportunities.
Over the past decade, there has been a huge paradigm shift in the data science industry that has led to a change in the hiring practices of most organisations. With the need to mine vast troves of data for information and insights, the demand for data science professionals — to capture, process and share this information — has increased by leaps and bounds. As a result, the number of data science jobs has also increased exponentially.
✅ What are the minimum requirements to get jobs in the field of data science?
The profession has become a veritable goldmine for the right kind of talent. But before you take the plunge into the world of mining and interpreting data, you need to know if you have these essential skills that will help you get your foot in the door.
A solid grounding in math and algorithms: Data science uses complex machine learning algorithms to find unseen patterns and extract meaningful information to make business decisions. You need to hold a Bachelor’s degree in computer science, social sciences, physical sciences or statistics, as they would give you the skills required to process big data. Then, to have the edge over others, get a Master’s degree or even a Ph.D.
- Statistics: One of the key skills needed for data science jobs, statistics enables you to interpret data.
- Machine learning & AI: Familiarise yourself with machine learning methods if you are looking for a job in an organisation that is data-driven.
- Programming skills & language: You need to have strong programming skills and in-depth knowledge of working with Python, SAS, R Programming, Open Source, etc. Knowledge of big data platforms such as Aster, Apache Spark and Hadoop, is also preferred. This apart, you would also be expected to write and execute queries in SQL.
- Data visualisation: Having good knowledge and experience in data visualisation is one of the key requisites of a data science job. These are the main technical skills required for data science jobs. Apart from this, a few analytical skills as well are very critical to your success as a data scientist. As you will be dealing with a lot of raw data, you need to identify areas of concern and find solutions for the organisation, putting that analysis into perspective. Let’s take a look at those:
- Understanding of human behaviour: The behaviour of an individual can be tracked from various sources - smartphones, laptops, televisions, smart speakers, credit and debit cards, fitness trackers, etc. By collating this data and arriving at insights, an organisation can develop stronger policies.
- Communication skills: Are you curious? Do you ask a lot of whys? One of the many traits of a good data scientist is to ask a lot of questions, at least in the initial stages of a project. You should carefully listen to the stakeholder’s requirement and understand the problem areas to solve them. Once you have arrived at the results, you need to present those to the stakeholders clearly.
- Analytical skills: These are critical to your success as a data scientist. As you will be dealing with a lot of raw data, you will need to identify areas of concern, put that analysis into perspective and find solutions for the organisation.
✅ What are various job roles that you can expect in a data science job?
Data science is a relatively nascent sector. Organisations are not rigid when it comes to offering a designation. However, there are four profiles where you can make a mark:
- Data scientist: This is the most common designation you’d find while looking for data science jobs because it’s easy to search for and apply. For the same profile, some organisations also use designations such as business intelligence expert or market analyst.
- Data analyst: This role demands a lot of technical know-how. It involves using the organisation’s data to develop insights to power actions that can be taken.
- Data engineer: The backbone of a large organisation, a data engineer is expected to work towards software development.
- Business intelligence developer: This role requires a know-how of the fundamentals of analytics and the IT department. A candidate is expected to have advanced knowledge of all popular machine learning tools.
✅ What is the kind of salary you can expect as a data scientist?
- If you are a fresher, your starting salary would be around ₹5 lakh per annum.
- Those with over a year’s experience can expect a salary of around ₹6-7 lakh per annum.
- A mid-level data scientist (5 to 9 years’ experience) earns around ₹10 lakh per annum.
- If you are a senior-level data scientist, your annual package would be over ₹17 lakh.
✅ What’s the future look like for a career in data science?
Data science has become an essential part of any business today, given the massive explosion in data and the need to harness that for the success of an organisation. During the COVID-19 pandemic, though there were massive job cuts globally, one sector that remained cushioned from the crisis was data science.
If a recent study conducted by edtech firm Great Learning is to be believed, job openings for data scientists and analysts have only grown since January 2020. As per the study, India accounted for 9.8% of the world’s analytics job opportunities or 93,500-plus openings in August 2020 as compared to 7.2% about seven months ago.
A major factor contributing to this huge demand for data scientists and analysts is that more jobs are being outsourced to India-based firms in view of the pandemic. Another reason is the increased funding by captive firms and international IT/ KPO corporations in local analytics startups. The demand for mid and senior-level professionals (7 to 15 years of experience) is also soaring at present.
With so much happening in this area, there’s never been a better time to pursue a career in data science!