With a rapid change in the field of artificial intelligence and data science, the demand for skilled professionals in this area has significantly increased. Most of the organisations are following the trend and integrating artificial intelligence and making data driven decision making.
Thus, the need for skilled professionals has increased the AI and data science job opportunities. Read this article to get more insights on the top AI and data science jobs available for freshers to experienced professionals.
5 AI and Data Science Jobs on October 3, 2024
There are numerous opportunities surging for AI and data science jobs. If you have the skills and qualifications then apply for the data scientist jobs given below.
1. Data Scientist – I in Swiggy
Candidates with experience in data science and machine learning will have to work with a team of experts to ship end to end data products, formulate business problems with ML, etc. at Swiggy. If you are a fresher with 0-2 experience, then this might be a good one from numerous AI and data science jobs.
Description
- Full Time Job Role
- IT (Information Technology)
- Software Development industry
- Associate Level Position
Qualifications
- Bachelor’s or master’s degree in a quantitative field with 0-2 years of industry experience in relevant fields.
- Problem solving skills, format solutions, et
- Depth knowledge and hands on experience in applying Machine learning models, and statistical techniques to business problems.
- Strong proficiency in Python, SQL, Tensorflow, spark, etc.
- Strong communication skills
Roles and Responsibilities
- Leverage strong machine learning, and statistics knowledge to build scalable and next generation of machine learning solutions.
- Extract and study insights of data collected from Swiggy
- Stay updated with the latest machine learning research for ads bidding algorithms and more.
- Talk about our internal and external forums to people with both technical and other backgrounds.
Also, check How to Learn Data Science in 2024?
2. Associate Data Scientist Jobs at Circle K
The Associate Data Scientist Jobs at Circle K is a full time entry level is best suited for young graduates for the position of data scientist. If you have the skills and qualifications apply quickly for this job role.
Description
- Full Time Job Role
- Software development
- Machine learning and artificial intelligence
Qualifications
- Bachelor’s or master’s degree in a quantitative field with 1-3 years of industry experience in data science and advanced analytic role
- Knowledge of functional analytics such as marketing analytics, chain analytics, customer analytics, etc.
- Knowledge of business intelligence and reporting, Power BI, Tableau, R, Python, etc. is used for big data technologies.
- Knowledge of big data technologies, enterprise reporting systems, and strong communication skills.
Roles and Responsibilities
- Analyse big data unstructured and structured data.
- Develop machine learning models in retail, marketing, and other businesses
- Apply advanced algorithms and architecture for data-driven decisions
- Build and maintain core data infrastructure, pipelines, and workflows, to automate dashboards and analyses.
3. Data Scientist: AI/ML Engineer at IBM
If you have professional experience in working on data science and artificial intelligence projects, then apply for this full time AI/ML Enginner role in data science at one of the most popular tech companies i,e. IBM.
Description
- Full Time Hybrid Role
- Data Science and Machine Learning problem-solving
- Experienced professionals
Qualifications
- Bachelor’s or master’s degree in a quantitative field with 1-3 years of industry experience in data science and advance analytic role
- Knowledge of Python, Data analytics packages, multi threading, APIs, and more
- 7+ years of professional experience working as a data scientist or engineer.
- Experience working with large language models and large datasets
Also, check How to learn Python in data Science as a beginner?
Roles and Responsibilities
- Analyse and build innovative AI-powered solutions which can integrate with various cross platforms.
- Work in a team to build, analyse, and improve the existing solutions
4. Generative AI Engineer at Deloitte
Work with Deloitte as a Generative AI engineer and design, build, and deploy generative AI models. Leverage your skills in Machine learning, Data Science, and Statistics to develop scalable and cutting edge solutions.
Description
- Full Time Job Role
- Mid Senior Role
- Generative AI Engineer
Qualifications
- 2+ years of work experience working with Python Programming
- 2+ Years of work experience with machine tools and Google Cloud Platform (GCP)
- Bachelors or masters degree in quantitative field from a recognised university
Roles and Responsibilities
- Design, develop, and deploy generative AI models
- Leverage expertise in Generative AI, Machine Learning, Data Science, and Statistics to develop cutting edge solutions
- Use LLMs, NLP, and Long Chain techniques to develop chatbots and language models for Deloitte clients
- Conducting thorough analysis, preprocessing, and modeling to extract valuable insights that help in data driven decision making.
- Staying up to date with the latest advancements in AI technologies and machine learning models.
5. Jr. Data Scientist at Infraveo Technologies
If you are a fresher graduate with 0-1 years of experience in data science and artificial intelligence, then join Infraveo Technologies and play a crucial role in analyzing complex data driven decisions and making scalable solutions.
Description
- Full Time Job Role
- Remote Job
Qualifications
- Bachelor’s or master’s degree in a quantitative field with 0-1 years of industry experience in data science and advanced analytic role
- Knowledge of Python, Machine Learning, SQL, Data Analysis, Problem solving, etc
- Experience with AWS Cloud Services and data science tools
- Knowledge of machine learning libraries like Tensorflow
- Strong understanding of database design principles and SQL.
Roles and Responsibilities
- Conduct data analysis and mining using various tools and techniques
- Design and implement database structures.
- Develop and deploy predictive models and apply data visualization techniques
- Collaborate with cross functional teams to develop a data driven solution
How to stay prepared for AI and Data Science Jobs
Some of the practices you must follow while preparing for AI and data science jobs are given below.
- Sharpen your Basics: Elevate your basic understanding of machine learning, artificial intelligence, and data science. Practice and learn through real world scenarios.
- Hands on experience: Work on projects from scratch, deploy solutions, data analysis insights, and more. This will help you strengthen your overall knowledge and implementation skills.
- Master tools and frameworks: Elevate your mastery of advanced tools and frameworks in data science and artificial intelligence such as Python, Machine learning algorithms, Python, Hadoop, AWS, etc.
- Stay Updated: Continuous learning and staying up to date is important for keeping pace with the latest technologies in data science and machine learning.
Also, check How to get a job as a data scientist from a Non-Technical Profile?
Where to Find the Best Opportunities for Data Scientist Jobs
You can find the best job opportunities simply on job portals or the career pages of companies hiring for the role. You can look for the best opportunities in AI and data science jobs on the PW Skills Job Hunt portal to find the best job opportunity for you based on your skills level.
How to Prepare for AI and Data Science Jobs?
If you want to prepare for a career in data science and artificial intelligence, then enroll in our Data Science and Generative AI Course. This 6 months course is fully packed to make you job ready and teach you in-depth about data science, generative AI, machine learning, and various advanced tools and frameworks.
Learn under the mentorship of experienced mentors who will guide you throughout the course. This 6 month course will help you master Python, Statistics, Machine Learning, deep learning, NLP, generative AI, and more. Also, get your hands on real world capstone projects and more only at pwskills.com.
Disclaimer: PW Skills is not responsible for any job placements or any outcomes or any other employment opportunities.
AI and Data Science Jobs FAQs
Q1. Where can I find AI and data science jobs?
Ans: Many companies are finding skilled professionals with knowledge of Data science, machine learning, and more. You can find the latest job notifications, application forms, and more all in one place. Find your dream job at the PW skills job portal.
Q2. Can freshers apply for AI and data science jobs?
Ans: Yes, young graduates with knowledge of machine learning, data science, and generative AI can apply for junior positions in AI and data science jobs.
Q3. Can AI do the job of a data scientist?
Ans: AI tools might be smart and can automate a number of tools and methods in data science. However, AI will not be able to replace data scientists in the coming years. Data scientists use their skills and knowledge to solve a complex problem that AI alone cannot carry out.
Q4. Are AI and data science jobs good career options?
Ans: AI and data science are some of the most popular jobs in the tech industry with a wide range of growth possibilities. If you are looking for a career in the tech field, AI and data science are some of the best choice.
