11+ Education & Research Management Jobs in Pune | Education & Research Management Job openings in Pune

About Company

Our client works in the area of skilling and livelihoods for underserved youth. It is a pioneering program with a strong PPP model, an agency-led

approach to livelihoods and a vision of socio-economic transformation. The NGO runs through a public-private partnership that empowers the Government, Corporates, NGOs and Citizens to work together toward changing lives.

Responsibilities

● Design and execution of research into the impact of an agency-led approach to livelihoods.

● Design and execution of the appropriate baseline surveys in communities.

● Gaining an in-depth understanding of the impact of the NGO program at the community level.

● Identification of research partners as required.

● Building tools and systems for monitoring and evaluation of the Lighthouse program and guiding the work of the data & reporting team.

● Data quality audits for program-specific data across the organization.

Requirements

● Master’s degree in statistics or economics with a specialization in statistical methods, or social sciences with training in qualitative and quantitative research methods.

● Minimum 5 years of work experience in the social sector/ corporate sector.

● Critical thinking

● Analytical ability

● Result orientation

● Excellent written and oral communication in Hindi and English (Knowledge of Marathi

will be an added advantage)

● Creativity

Website and Company profile:

www.wissen.com

LinkedIn Page:

https://www.linkedin.com/company/wissen-technology/

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Whitefield, Bangalore

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology

• The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
• Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
• Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
• Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.
• Globally present with offices US, India, UK, Australia, Mexico, and Canada.
• We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
• Wissen Technology has been certified as a Great Place to Work®.
• Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
• Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
• We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

JOB DESCRIPTION

Job Title:

Data Scientist – Graph & Analytics

Location:

Pune, Maharashtra

Work Mode:

Work from Office – 5 Days a Week

Experience:

3–5 Years

Employment Type:

Full-Time

Education:

B.E. / B.Tech in Computer Science, IT, Statistics, or related field

About the Role

We are looking for an analytical and detail-oriented Data Scientist with deep expertise in graph analytics, network analysis, and scalable data engineering. This is not a conventional machine learning role — the focus is on understanding complex relationships, structures, and patterns within large-scale datasets using graph-based methods and statistical modeling. You will work in a collaborative, fast-paced environment and be expected to contribute across the full data lifecycle — from raw data exploration through to production-grade analytical systems.

This is a full-time, in-office role based out of our Pune office (5 days a week).

Key Responsibilities

Graph Analytics & Network Analysis

• Design and implement graph-based models to identify patterns, clusters, communities, and relationships within complex datasets.

• Apply network analysis techniques using metrics such as clustering coefficient, degree assortativity, density, Gini index, and small-world index.

• Perform multi-hop network traversals and community detection using algorithms such as Louvain partitioning and similar graph clustering approaches.

• Build and query graph databases (Neo4j, ArangoDB) using Cypher Query Language to extract structural insights from connected data.

• Leverage GPU-accelerated graph libraries (cuGraph) to scale graph computations across large datasets efficiently.

Data Engineering & Pipeline Development

• Conduct thorough Exploratory Data Analysis (EDA) on large-scale structured and semi-structured datasets to surface quality issues, distributions, and key features.

• Build, optimize, and maintain scalable data pipelines and stored procedures across cloud data platforms such as BigQuery, PostgreSQL, or Hive.

• Automate data workflows using orchestration tools such as Apache Airflow or Kubeflow Pipelines.

• Apply GPU-accelerated computing (CUDA, CuPy, cuDF) to optimize processing performance on high-volume data workloads.

• Ensure data integrity, reproducibility, and documentation across all analytical workflows.

Statistical Modeling & Insight Generation

• Apply statistical modeling techniques to detect behavioral anomalies, trends, and patterns within datasets.

• Use time series analysis to identify temporal patterns and changes in data over time.

• Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders.

• Build dashboards and reports using visualization tools (e.g., Trino Superset) to communicate results effectively.

Collaboration & Documentation

• Work closely with product, engineering, and business teams to understand requirements and deliver relevant analytical solutions.

• Contribute to internal knowledge sharing through workshops, documentation, and peer reviews.

• Maintain well-documented codebases and analytical frameworks for long-term maintainability.

Required Skills & Qualifications

Must-Have

• 3+ years of experience in a Data Science, Data Analytics, or Graph Analytics role.

• Strong proficiency in Python with hands-on experience using NumPy, Pandas, CuPy, and cuDF.

• Practical experience with graph analytics libraries — NetworkX, cuGraph, Neo4j, or ArangoDB.

• Solid understanding of graph theory concepts: community detection, network metrics, graph traversal, and clustering algorithms.

• Proficiency in SQL; experience with BigQuery, PostgreSQL, MS SQL, Hive, or similar databases.

• Experience with GPU-based computing using CUDA for performance-critical data tasks.

• Strong analytical thinking and ability to work independently on ambiguous, open-ended problems.

Good to Have

• Experience with Cypher Query Language for querying graph databases (Neo4j / ArangoDB).

• Familiarity with graph ML frameworks such as PyTorch Geometric.

• Exposure to workflow orchestration tools — Apache Airflow or Kubeflow Pipelines.

• Knowledge of cloud data tools such as Trino, MinIO, or IBM Datastage.

• Basic scripting skills in Bash or C++ for automation or performance tasks.

• Experience presenting data insights to senior stakeholders or cross-functional teams.

• Research publications, patents, or open-source contributions in graph analytics or data science are a strong plus.

What We Offer

• Opportunity to solve high-impact, large-scale data problems using modern graph and analytics tools.

• Exposure to cutting-edge technologies including GPU-accelerated computing and graph ML.

• Collaborative, intellectually stimulating work environment with a strong engineering culture.

• Competitive compensation with performance-based incentives.

• Learning & development support — certifications, courses, and conference participation.

• Centrally located Pune office with a structured, in-person team culture.

Visionyle is Hiring Senior Data Architect - Data Modeller for Capita

Job Details

Job Title : Senior Data Architect - Data Modeller

Job location : Initial - WFH after it may converted into Hybrid

Payroll firm : Visionyle Solutions ( www.visioyle.com)

Job Type: FTE

Job Description:

Mandatory

• Relevant Experience Required : 7+ years
• Experience in Third normal form, Data Vault, Dimensional (Kimball) data modelling
• Experience / certification in Databricks or Snowflake

Job Description

• Lead the design and implementation of efficient data solutions tailored to meet the specific needs of the clients.
• Design and optimise data architectures following standards and best practices.
• Provide technical leadership to architects, analysts and developers guiding them in the development of high-quality data solutions following best practices.
• Evaluate and recommend appropriate technologies, tools and platforms to support data architecture initiatives.
• Enforce data governance standards, data quality controls and best practices to maintain the accuracy, reliability and security of the data.
• Ensure compliance with regulatory, data privacy, security policies and requirements in Data Management.
• Collaborate with clients to understand requirements and provide guidance.
• Drive initiatives to enhance efficiency and effectiveness.
• Create and maintain comprehensive design documentation to support Project implementation and knowledge transfer.
• Keep up-to-date with industry trends, best practices, and emerging technologies.
• Contribute to proposals and sales efforts
• Mentor and provide guidance to junior team members

Recent Photo

Name as Per PAN

Current CTC :

Expected CTC :

Notice Period / LWD / Joining Time:

Offer in Hand Details (if any) :

Reason for change :

Ok for C2H :

Role: Data Engineer

 Experience: 5+ Yrs

Type: Hybrid (3 Days a week)

Location: Chennai, Bangalore, Hyderabad, Pune, Kolkatta

End Client: Cognizant

Contract Duration: 6 Months

Shift:- 10 AM - 7 PM IST

Must Have: 

* Strong experience in Python

* Expertise in Data Engineering Frameworks

* Hands-on experience with ETL processes

* CI/CD

* Experience working on GCP (Google Cloud Platform)

Job Description :

- Strong understanding of the Ruby programming language and Rails framework

- Proficiency in Javascript including experience with React, Angular or Vue

- Database understanding (Postgres/MySQL)

- Previous experience maintaining production applications

- Focus on writing clear, maintainable, tested code.

Skills Required :

- Navigating and understanding a large codebase

- Experience with Git continuous integration and regular deployments

- Understanding and appreciation for UX and usability

- Excellent communication skills and diligent ability to contribute to the team by performing code reviews,

- Writing tests using Rspec and Capybara.

We are seeking a dynamic and detail-oriented HR Recruiter to manage our end-to-end recruitment process. The ideal candidate will have a strong understanding of talent acquisition strategies, excellent interpersonal skills, and the ability to build relationships with both candidates and hiring managers.

Key Responsibilities

• Manage the full recruitment life cycle, from job posting to onboarding.
• Partner with hiring managers to identify staffing needs and develop job descriptions.
• Source potential candidates through online channels (e.g., LinkedIn, job boards, social media).
• Screen resumes, conduct interviews, and assess candidates’ qualifications.
• Coordinate and schedule interviews between candidates and hiring teams.
• Maintain candidate databases and recruitment reports.
• Build a talent pipeline for current and future hiring needs.
• Ensure a positive candidate experience throughout the hiring process.
• Stay updated on industry trends and best recruitment practices.
• Ensure compliance with labor laws and internal policies during recruitment.

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

.

Job Summary:

As Senior Associate L1 in Data Engineering, you will do technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. Having hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms will be preferable.

Role & Responsibilities:

Job Title: Senior Associate L1 – Data Engineering

Your role is focused on Design, Development and delivery of solutions involving:

• Data Ingestion, Integration and Transformation

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 3.5+ years of IT experience with 1.5+ years in Data related technologies

2.Minimum 1.5 years of experience in Big Data technologies

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

7.Cloud data specialty and other related Big data technology certifications

Job Title: Senior Associate L1 – Data Engineering

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

What you need to have:

1. Identifying and establishing contact with potential customers proactively and following up sales leads to generate sale.
2. Responding to sales and service enquiries from new and existing customers.
3. Negotiating the as per agreement terms and closing sales. Meet the Prospects and convert into business
4. Achieving sales targets on weekly and monthly basis

1. Ready to take initiative
2. Highly innovative, proactive and should operate efficiently under minimal supervision Well-presented, polite and tactful
3. Can handle customer feedback and have patience while pitching for sale conversion

1. Any graduate / Post graduate with MBA in Marketing as specialization
2. Graduation Must.
3. Candidates with 0 - 1 years of experience in Direct Sales, Ad sales, Online Sales or related work experience would be an added advantage.