Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 57.
From 10,903 similar postings that came down. Coming down is not always a hire.
Manager - Data Analytics (Lead Data Scientist)
Bangalore, Banglore CO, IN
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, develop and deploy machine learning models and algorithms
Define project objectives, scope and deliverables with cross-functional teams
Translate business problems into machine learning problem statements
Design end-to-end analytics pipelines
Evaluate new AI tools, frameworks and methodologies for adoption
From the employer’s posting
Design, develop, and deploy machine learning models and algorithms
Collaborate with cross-functional teams including product management, engineering, and business stakeholders to define project objectives, scope, and deliverables
Capable of translating business problem statement into machine learning problem statement
Design e2e analytics pipeline
Lead the evaluation of new AI tools, frameworks, and methodologies
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience leading data science projects from inception to delivery, with a strong focus on business impact and value creation
- Expertise in machine learning, statistical analysis, and predictive modelling techniques
- Proficiency in programming languages such as SQL, Python, and/or Java, along with experience in data manipulation and analysis libraries, and expertise in Docker, Kubernetes, AWS(Lambda,ECS,Superset), and MLops
Preferred experience
- Experience in predictive analytics within the automobile domain is a plus
- Experience working in Agile/Scrum development environments is a plus
- Experience in Data engineering and Data visualization platforms is a plus
- Experience working on cloud platforms such as AWS Cloud is a plus
Qualification wording
Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred
Proven experience leading data science projects from inception to delivery, with a strong focus on business impact and value creation
Expertise in machine learning, statistical analysis, and predictive modelling techniques
Proficiency in programming languages such as SQL, Python, and/or Java, along with experience in data manipulation and analysis libraries, and expertise in Docker, Kubernetes, AWS(Lambda,ECS,Superset), and MLops
Experience in predictive analytics within the automobile domain is a plus
Experience working in Agile/Scrum development environments is a plus
Experience in Data engineering and Data visualization platforms is a plus
Experience working on cloud platforms such as AWS Cloud is a plus
Education & alternatives
Qualifications: - Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred - Minimum of 5-8 years of professional experience in data science or related fields
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 10, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Mahindra & Mahindra is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- SQL
- AWS
- Docker
- Kubernetes
- Superset
Where the posting names them
- Expertise in machine learning, statistical analysis, and predictive modelling techniques - Proficiency in programming languages such as SQL, Python, and/or Java, along with experience in data manipulation and analysis libraries, and expertise in Docker, Kubernetes, AWS(Lambda,ECS,Superset), and MLops - Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders
- Experience in Data engineering and Data visualization platforms is a plus - Experience working on cloud platforms such as AWS Cloud is a plus
Your next step
Complete your application on jobs.mahindracareers.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
- Images (.jpg) aren’t accepted as a resume.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 6% 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.
About the role
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.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Position Overview:
We are seeking a highly experienced and skilled Lead Data Scientist to join our team at LMM PD, with a proven track record of leading successful data science projects and teams. Selected candidate will play a critical role in driving the development and implementation of advanced data analytics solutions to solve complex business problems.
Responsibilities:
- Design, develop, and deploy machine learning models and algorithms
- Collaborate with cross-functional teams including product management, engineering, and business stakeholders to define project objectives, scope, and deliverables
- Develop and Execute technical strategies and progress updates to stakeholders and executive leadership
- Stay updated on the latest trends and advancements in data science, machine learning, and AI, and evaluate their potential impact on our business
- Lead the evaluation of new AI tools, frameworks, and methodologies, advocating for the adoption of technologies that align with our strategic goals
- Capable of translating business problem statement into machine learning problem statement
- Design e2e analytics pipeline
Qualifications:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred
- Minimum of 5-8 years of professional experience in data science or related fields
- Proven experience leading data science projects from inception to delivery, with a strong focus on business impact and value creation
- Expertise in machine learning, statistical analysis, and predictive modelling techniques
- Proficiency in programming languages such as SQL, Python, and/or Java, along with experience in data manipulation and analysis libraries, and expertise in Docker, Kubernetes, AWS(Lambda,ECS,Superset), and MLops
- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders
- Experience in predictive analytics within the automobile domain is a plus
- Experience working in Agile/Scrum development environments is a plus
- Experience in Data engineering and Data visualization platforms is a plus
- Experience working on cloud platforms such as AWS Cloud is a plus
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, Banglore CO, IN
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.