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PluginLive Technologies: a recruitment tech company is hiring for Mahindra & Mahindra
Mahindra Group are looking forward for Data Analytics Interns who possess some of the following skills (at group technology office of 100+ Mahindra group of companies)
Role Name- Data Science Intern
Internship Duration: 6 months
Internship Location: Bangalore
Stipend: 30,000/month
Qualifications- BE/BTECH/ME/MTECH in Data analytics/Data science/AI -ML/ Computer science with specialization in AI-ML /AI-DS / DS with a good academic track record of min 60% & above in their 10th & 12th & min 60% above in their graduation without any arrears.
Role & Responsibilities:
- A passion and aspiration to bring data driven transformation with accelerated career growth.
- Technical expertise with data models, data mining, data migration, data architecture and segmentation techniques
- Conceptualize, design and deliver data & application platforms as a whole and envision the overall data architecture for short- and long-term needs of business and technology point of view.
- Have a sound knowledge of enterprise date architectural technology stacks (On Prem, cloud (GCP/Azure/AWS) and different building arch blocks (Snowflake, Data bricks, Lambda etc.)
- Must have experience in modern day storage (blob, SQL & NoSQL - document, graph, columnar, key-value), processing (traditional, container based and serverless), real time vs batch processing for big data (volume, velocity and variety), OLTP & OLAP
- Must have experience with industry standard DevOps tools, design patterns and practices.
- Experience with MLOps is a plus.
- Experience with designing horizontally scalable systems and applications (asynchronous, synchronous and socket based, dashboards)
- Must be great at consulting and stakeholder management. The profile requires to have great communication and presentation skills.
- Must be able to lay out and come up with a data & system architecture (high level and low level).
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Description of Role
- We are looking for an enthusiastic analytically minded data driven BI Consultant/Developer role in Mumbai based Data & Analytics team
- The Business Intelligence consultant/developer is a member of the analytics team whose focus is to provide hands-on consulting and
- · Understand and document the reporting business requirements, processes and workflows developing both written and visual depictions of requirements and process flows.
- · Work closely with BI product manager & lead dashboard design and information presentation ideation meetings with business stakeholders.
- Works extensively in Tableau Desktop, MS Power BI designing and building highly customized dashboards to provide stunning visual anal build assets like datasets, reports and dashboards using tools like Tableau, Powerbi & dataiku for internal customers within investment (Performance, Marketing, Sales etc.)
Key responsibilities
- · Builds Tableau/Power BI Data Models utilizing best practices, ensures data accuracy and ability to blend with other certified data sources.
- · Understand Analytics & Business Intelligence framework and partner with Analytics Technology & Enterprise reporting Technology team to build & deploy reports and dashboards.
- · Evaluate data sources and technology options, recommend appropriate solutions.
- · Build and maintain a reporting data dictionary and data lineage.
- · Perform data analysis, data mapping, and develop ad hoc queries.
- · Write SQL queries, stored procedures, and scripts, ETL jobs.
- · Perform QA testing of developed deliverables and assist with User Acceptance Testing
- · Manage the prioritization, logging and tracking of user related issues, defects, enhancements, and work requests.
Experience and Skills
- · Analytic and data driven mindset with a finesse to build dashboards that tell a story.
- · Strong communication skills, interacting effectively with quantitative colleagues as well as less technical audiences.
- · Minimum of 5 years of proven experience creating Dashboards, Reports and Visualizations with interactive capabilities.
- · Minimum of 5 years’ experience in business/data analysis and data preparation
- · Minimum 2 years of experience in working with big data & building data apps using Python.
- · Broad industry knowledge of investment management a plus
- · Excellent verbal and writing skills in English.
- · Excellent time management and ability to work under pressure to meet tight deadlines.
- · Maintain a strong commitment to quality.
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Responsibilities
Researches, develops and maintains machine learning and statistical models for
business requirements
Work across the spectrum of statistical modelling including supervised,
unsupervised, & deep learning techniques to apply the right level of solution to
the right problem Coordinate with different functional teams to monitor outcomes and refine/
improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation
Identify unexplored data opportunities for the business to unlock and maximize
the potential of digital data within the organization
Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data
Qualifications
3+ years of experience solving complex business problems using machine
learning.
Fluency in programming languages such as Python, NLP and Bert, is a must
Strong analytical and critical thinking skills
Experience in building production quality models using state-of-the-art technologies
Familiarity with databases .
desirable Ability to collaborate on projects and work independently when required.
Previous experience in Fintech/payments domain is a bonus
You should have Bachelor’s or Master’s degree in Computer Science, Statistics
or Mathematics or another quantitative field from a top tier Institute
Job Responsibilities:
Excellent problem solving and analytical skills - ability to develop hypotheses,
understand and interpret data within the context of the product / business -
solve problems and distill data into actionable recommendations.
Strong communication skills with the ability to confidently work with cross-
functional teams across the globe and to present information to all levels of the
organization.
Intellectual and analytical curiosity - initiative to dig into the why, what & how.
Strong number crunching and quantitative skills.
Advanced knowledge of MS Excel and PowerPoint.
Good hands on SQL
Experience with in Google Analytics, Optimize, Tag Manager and other Google Suite tools
Understanding of Business analytics tools & statistical programming languages - R, SAS, SPSS, Tableau is a plus
Inherent interest in e-commerce & marketplace technology platforms and
broadly in the consumer Internet & mobile space.
Previous experience of 1+ years working in a product company in
a product analytics role
Strong understanding of building and interpreting product funnels.
Perquisites & Benefits:
Opportunity to work with India's no.1 crowdfunding platform
Be a part of a young, smart and rapidly growing team with management from Ivy League and Premier colleges
Competitive compensation and incentives
Fun, casual, relaxed and flexible work environment
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About Us:
We are a VC-funded startup solving one of the biggest transportation problems India faces. Most passengers in India travel long distance by IRCTC trains. At time of booking, approx 1 out of every 2 passengers end up with a Waitlisted or RAC ticket. This creates a lot of anxiety for passengers, as Railway only announces only 4 hour before departure if they have a confirmed seat. We solve this problem through our Waitlist & RAC Protection. Protection can be bought against each IRCTC ticket at time of booking. If train ticket is not confirmed, we fly the passenger to the destination. Our team consists of 3 Founders from IIT, IIM and ISB.
Functional Experience:
- Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms
- 2+ years of data science experience working with large datasets
- Expertise in Python packages like pandas, numPy, sklearn, matplotlib, seaborn, keras and tensorflow
- Expertise in Big Data technologies like Hadoop, Cassandra and PostgreSQL
- Expertise in Cloud computing on AWS with EC2, AutoML, Lambda and RDS
- Good knowledge of Machine Learning and Statistical time series analysis (optional)
- Unparalleled logical ability making you the go to guy for all things related to data
- You love coding like a hobby and are up for a challenge!
Cultural:
- Assume a strong sense of ownership of analytics : Design, develop & deploy
- Collaborate with senior management, operations & business team
- Ensure Quality & sustainability of the architecture
- Motivation to join an early stage startup should go beyond compensation
- Design the architecture of our big data platform
- Perform and oversee tasks such as writing scripts, calling APIs, web scraping, and writing SQL queries
- Design and implement data stores that support the scalable processing and storage of our high-frequency data
- Maintain our data pipeline
- Customize and oversee integration tools, warehouses, databases, and analytical systems
- Configure and provide availability for data-access tools used by all data scientists
Experience: 6-9 Years
Location: Pan India
Job Description
Assist in the establishment of internal and controls related to software asset management, governance and compliance
Handled Cloud – AWS, Amazon, GCP & Billing
Participated in license compliance audit.
Tracking/management of software license governance and compliance in accordance with enterprise policy, process, procedures and controls by internal staff and external service providers
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Strong knowledge in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc.
Sound Knowlegde querying databases and using statistical computer languages: R, Python, SQL, etc.
Strong understanding creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Strong knowledge in Power BI (DAX + Power Query + Power BI Service + Power BI
Desktop Visualisations) and Azure Data Storages.
Should have experience in Power BI mobile Dashboards.
Strong knowledge in SQL.
Good knowledge of DWH concepts.
Work as an independent contributor at the client location.
Implementing Access Control and impose required Security.
Candidate must have very good communication skills.
2. Assemble large, complex data sets that meet business requirements
3. Identify, design, and implement internal process improvements
4. Optimize data delivery and re-design infrastructure for greater scalability
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
6. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
7. Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
8. Create data tools for analytics and data scientist team members
Skills Required:
1. Working knowledge of ETL on any cloud (Azure / AWS / GCP)
2. Proficient in Python (Programming / Scripting)
3. Good understanding of any of the data warehousing concepts (Snowflake / AWS Redshift / Azure Synapse Analytics / Google Big Query / Hive)
4. In-depth understanding of principles of database structure
5. Good understanding of any of the ETL technologies (Informatica PowerCenter / AWS Glue / Data Factory / SSIS / Spark / Matillion / Talend / Azure)
6. Proficient in SQL (query solving)
7. Knowledge in Change case Management / Version Control – (VSS / DevOps / TFS / GitHub, Bit bucket, CICD Jenkin)
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