Bengaluru, Karnataka, India
Live, first seen by us 5 hours agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Develop, implement, and optimise data models and algorithms to address business problems and improve decision-making.
Support Vector Machines (SVM)
Perform data mining, statistical analysis, and predictive modelling to identify trends, patterns, and actionable insights.
Key Responsibilities Develop, implement, and optimise data models and algorithms to address business problems and improve decision-making. Perform data mining, statistical analysis, and predictive modelling to identify trends, patterns, and actionable insights.
Naïve Bayes Support Vector Machines (SVM) Additional Skills
Develop, implement, and optimise data models and algorithms to address business problems and improve decision-making. Perform data mining, statistical analysis, and predictive modelling to identify trends, patterns, and actionable insights. Design, develop, and deploy machine learning models using algorithms such as K-Nearest Neighbours (KNN), Naïve Bayes, Support Vector Machines (SVM), Decision Trees, and Random Forest.
Bachelor's degree in Engineering, Computer Science, or a related discipline that emphasises analytical and quantitative thinking.
Master's degree in Data Science, Statistics, Computer Science, or a related field is an added advantage.
Preferred Qualifications - Bachelor's degree in Engineering, Computer Science, or a related discipline that emphasises analytical and quantitative thinking. - Master's degree in Data Science, Statistics, Computer Science, or a related field is an added advantage.
- Bachelor's degree in Engineering, Computer Science, or a related discipline that emphasises analytical and quantitative thinking. - Master's degree in Data Science, Statistics, Computer Science, or a related field is an added advantage.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 0
Early. Similar jobs usually come down between day 8 and day 59.
At Weekday AI, jobs usually come down by about day 5.
From 11,556 similar postings that came down, and 96 of Weekday AI’s. Coming down is not always a hire.
30 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Apply statistical and analytical methodologies, including hypothesis testing, experimental design, and data validation. - Use data science tools and programming languages, with hands-on proficiency in Python or R. - Work with structured and unstructured data across relational databases and NoSQL or Big Data platforms.
- Statistical Analysis - Python Good-to-Have Skills
- Strong understanding of machine learning algorithms, statistical techniques, and predictive modelling. - Experience with analytical and statistical programming tools such as Python or R. - Knowledge of relational database management systems (RDBMS), including Oracle and MS SQL.
- Experience with analytical and statistical programming tools such as Python or R. - Knowledge of relational database management systems (RDBMS), including Oracle and MS SQL. - Familiarity with NoSQL and Big Data technologies such as MongoDB, Cassandra, Hadoop, HBase, and Cloudera.
- Effective verbal and written communication skills. - Proficiency in Microsoft Office tools, particularly Excel, PowerPoint, and Word. Preferred Qualifications
- Knowledge of relational database management systems (RDBMS), including Oracle and MS SQL. - Familiarity with NoSQL and Big Data technologies such as MongoDB, Cassandra, Hadoop, HBase, and Cloudera. - Experience creating dashboards and visualisations using Tableau, Power BI, QlikView, or D3.js.
- Use data science tools and programming languages, with hands-on proficiency in Python or R. - Work with structured and unstructured data across relational databases and NoSQL or Big Data platforms. - Build and maintain dashboards, reports, and data visualisations using tools such as Tableau, Power BI, QlikView, or D3.js.
- Work with structured and unstructured data across relational databases and NoSQL or Big Data platforms. - Build and maintain dashboards, reports, and data visualisations using tools such as Tableau, Power BI, QlikView, or D3.js. - Write efficient scripts and programmes to automate data processing, analysis, and reporting workflows.
- Familiarity with NoSQL and Big Data technologies such as MongoDB, Cassandra, Hadoop, HBase, and Cloudera. - Experience creating dashboards and visualisations using Tableau, Power BI, QlikView, or D3.js. - Strong programming, scripting, and problem-solving abilities.
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Yes. We’ve followed 4 other Data Scientist jobs there since August 2026. One came down after 4 days. 3 are still up.
Large employers often post one title for several teams, so these can be separate openings.
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
This role is for one of Weekday’s clients
Min Experience: 2+ years
Location: Bengaluru, Chennai
JobType: full-time
We are looking for a skilled and analytical Data Scientist to derive meaningful insights from large and complex datasets and help businesses make informed, data-driven decisions. In this role, you will apply advanced data mining techniques, statistical analysis, and predictive modelling to solve business challenges and support organisational transformation.
You will be responsible for developing data models, building machine learning solutions, and translating analytical findings into actionable business recommendations. The ideal candidate should have strong programming skills, hands-on experience with machine learning algorithms, and the ability to communicate complex insights to both technical and non-technical stakeholders.
Requirements
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Bengaluru, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.