Junior Software Engineer - Data Science at LogiNext · Mumbai · 0 - 1 years · ₹4L - ₹6.5L / yr · Raised funding · Posted 2 Apr 2024

LogiNext is looking for a technically savvy and passionate Junior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.
Responsibilities:
Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams
Requirements:
Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school 0 to 1 year experince in in data mining, data modeling, and reporting. Understading of SaaS based products and services. Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Knowledge using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen and problem-solving aptitude Excellent communication and presentation skills Proficiency in Excel for data management and manipulation Experience in statistical modeling techniques and data wrangling Able to work independently and set goals keeping business objectives in mind

About LogiNext
About
LogiNext is amongst the fastest growing tech company, providing solutions to simplify and automate the ecosphere of logistics and supply chain management. Our aim is to organize the daunting process of logistics and supply chain planning, with an array of SaaS driven by the most robust enterprise solutions globally.
Our clientele is spread across the globe and we empower them to optimize their supply chain operations by unique data capturing, advanced analytics and visualization. From inception, LogiNext has been an industry leader and recipient of awards like NetApp's Innovative Tech Company of the year, Entrepreneur's Logistics Firm of the Year, Aegis's innovation in Big Data, CIO Choice Award for best supply chain logistics cloud solutions, etc.
Backed by influential industry leaders like PayTM and Indian Angel Network and with partners like IBM, Microsoft, Google, AWS and Samsung, LogiNext has achieved exponential success in a very short span of time and is set to exceed 300% growth by the end of 2016. The true growth hackers, who paved way for this success are the people working exceptionally hard and adding value to our organisation. Our brand ambassadors - that's how we address our people, bring unique values, discipline and problem-solving skills to nurture the innovative and entrepreneurial work culture at LogiNext. Passion, versatility, expertise and a hunger for success is the Mantra chanted by every Logi-Nexter!
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Job Description:
As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies.
Responsibilities:
- Assist in collecting, cleaning, and preprocessing data from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and implement machine learning models and algorithms.
- Create data visualizations and reports to communicate findings to stakeholders.
- Collaborate with team members on data-driven projects and research.
- Participate in meetings and contribute to discussions on project progress and strategy.
- Work with large datasets to clean, preprocess, and analyze data.
- Build and deploy statistical and machine learning models to generate actionable insights.
- Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations.
- Assist in the creation of data visualizations and dashboards for reporting insights.
- Support the development and improvement of data pipelines and algorithms.
- Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions.
- Contribute to the documentation and presentation of results, findings, and recommendations.
- Participate in team meetings, brainstorming sessions, and project discussions.
Duration: 03 Months (with the possibility of extending up to 6 months)
MODE: Work From Home (Online)
Requirements:
- Any Graduate / PassOuts / Freasher can apply.
- Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
- Proficiency in programming languages such as Python, R, or SQL.
- Strong foundation in statistics, probability, and data analysis techniques.
Benefits
Internship Certificate
Letter of recommendation
Stipend Performance Based
Part time work from home (2-3 Hrs per day)
5 days a week, Fully Flexible Shift
About Nexora Group
Nexora Group is a forward-thinking technology and innovation company focused on leveraging Artificial Intelligence, Data Science, and emerging technologies to solve real-world business challenges. We provide opportunities for aspiring professionals to gain hands-on experience, work on impactful projects, and develop industry-relevant skills in a collaborative environment.
Internship Overview
We are looking for enthusiastic and motivated Data Science with AI Interns to join our growing team. This internship is designed for students and recent graduates who are passionate about data analytics, machine learning, artificial intelligence, and data-driven decision-making.
The selected candidates will work alongside experienced professionals on real-world datasets, AI models, and business intelligence projects while gaining practical exposure to industry-standard tools and technologies.
Key Responsibilities
- Collect, clean, and preprocess structured and unstructured datasets.
- Perform exploratory data analysis (EDA) and generate actionable insights.
- Assist in developing and deploying machine learning and AI models.
- Work with Python, SQL, and data visualization tools.
- Create dashboards, reports, and data-driven presentations.
- Support predictive analytics and model evaluation activities.
- Collaborate with cross-functional teams on AI-driven projects.
- Research emerging trends in Data Science, Machine Learning, and Generative AI.
- Document project findings and maintain technical reports.
Required Skills
- Basic understanding of Data Science and Machine Learning concepts.
- Knowledge of Python and data analysis libraries (Pandas, NumPy, Matplotlib, Scikit-learn).
- Familiarity with SQL and database concepts.
- Understanding of AI, Generative AI, and Large Language Models (LLMs) is a plus.
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
- Eagerness to learn and adapt to new technologies.
Eligibility
- Undergraduate or postgraduate students pursuing Computer Science, Data Science, AI, IT, Statistics, Mathematics, or related fields.
- Recent graduates looking to gain practical industry experience.
- Candidates with personal projects, certifications, or relevant coursework will be preferred.
What You'll Gain
- Hands-on experience with real-world AI and Data Science projects.
- Mentorship from industry professionals.
- Exposure to modern AI tools and technologies.
- Internship Certificate upon successful completion.
- Letter of Recommendation (based on performance).
- Opportunity for a Pre-Placement Offer (PPO) for outstanding performers.
- Professional networking and career development opportunities.
Experience: 0–1 Year / Freshers
Location: Remote
Employment Type: Full-Time
About the Role
We are looking for a Junior Software Engineer – AI/ML with hands-on academic, internship, or personal project experience in Core AI/ML.
Key Areas We’re Looking For
- Core AI/ML
- Trading / Finance
- CCTV / Video Analytics
- Face Recognition
- OMR / OCR
Required Skills
- Python and basic Machine Learning concepts
- Experience with AI/ML projects
- Knowledge of OpenCV, Scikit-learn, PyTorch, or TensorFlow
- Basic understanding of model training, evaluation, and data preprocessing
- Git/GitHub
Candidate Profile
- Freshers or candidates with 0–1 year experience
- Practical AI/ML projects preferred
- Should be able to clearly explain their project, model/algorithm, dataset, and individual contribution
About the Internship
The Nexora Group is looking for motivated and enthusiastic interns for the role of Data Science with AI Intern. This internship provides practical exposure to data analysis, machine learning, AI tools, and real-world datasets through guided mentorship and project-based learning.
Interns will gain hands-on experience working on live tasks related to data processing, visualization, predictive analytics, and AI-driven solutions.
Responsibilities
- Assist in collecting, cleaning, and analyzing datasets.
- Work on data visualization and reporting tasks.
- Support machine learning and AI model development activities.
- Participate in research and implementation of AI-based solutions.
- Perform data preprocessing and feature engineering tasks.
- Collaborate with mentors and team members on project assignments.
- Test, evaluate, and improve model performance.
- Maintain project documentation and reports.
Required Skills
- Basic understanding of Python or any programming language.
- Interest in Data Science, Analytics, and AI technologies.
- Knowledge of statistics, data handling, or logical reasoning is a plus.
- Good analytical and problem-solving skills.
- Ability to learn and work collaboratively in a team environment.
Preferred Skills (Optional)
- Familiarity with Python libraries such as Pandas, NumPy, or Matplotlib.
- Basic understanding of Machine Learning concepts.
- Knowledge of SQL, Excel, or data visualization tools.
- Interest in Artificial Intelligence and automation technologies.
Who Can Apply
- Students pursuing B.Tech, BCA, MCA, B.Sc IT, M.Tech, or related fields.
- Freshers seeking practical exposure in Data Science and AI.
- Candidates passionate about analytics, AI, and emerging technologies.
Perks & Benefits
- Hands-on experience with real-world datasets and projects.
- Mentorship from experienced professionals.
- Internship Completion Certificate.
- Letter of Recommendation based on performance.
- Flexible learning and working environment.
- Opportunity to build practical technical skills.
- Top performers may receive future opportunities based on project requirements.
About the Internship
Nexora Group is seeking motivated and analytical students who are passionate about Data Science, Artificial Intelligence, and Machine Learning. This internship offers hands-on experience working with real-world datasets, AI-driven technologies, predictive analytics, and data visualization techniques.
Interns will gain practical exposure to data analysis workflows, AI-powered solutions, and industry-oriented projects while developing skills that are highly valued in today's technology landscape. Nexora Group focuses on innovation and technology-driven solutions across AI, digital experiences, and emerging technologies.
Key Responsibilities
- Collect, clean, and analyze structured and unstructured datasets.
- Perform Exploratory Data Analysis (EDA) to identify trends and patterns.
- Develop and evaluate Machine Learning models.
- Work with AI and Generative AI tools for data-driven solutions.
- Create dashboards, reports, and visualizations.
- Assist in predictive analytics and business intelligence projects.
- Document findings and present insights to mentors.
- Collaborate with team members on real-world projects.
Required Skills
- Basic knowledge of Python programming.
- Understanding of Data Science and Machine Learning concepts.
- Familiarity with Pandas, NumPy, and data visualization libraries.
- Basic understanding of statistics and data analysis.
- Knowledge of SQL is a plus.
- Strong analytical and problem-solving abilities.
- Passion for Artificial Intelligence and emerging technologies.
Eligibility
- B.Tech, BCA, MCA, B.Sc., M.Sc., or related disciplines.
- Students pursuing Data Science, Computer Science, AI, IT, Mathematics, Statistics, or related fields.
- Freshers and recent graduates are encouraged to apply.
What You Will Learn
✅ Data Analysis & Visualization
✅ Machine Learning Fundamentals
✅ Artificial Intelligence Applications
✅ Generative AI Tools & Techniques
✅ Predictive Analytics
✅ Business Intelligence Concepts
✅ Industry-Oriented Project Development
Benefits
✅ Internship Completion Certificate
✅ Letter of Recommendation (Performance-Based)
✅ Hands-on Industry Project Experience
✅ Professional Mentorship & Guidance
✅ Resume & LinkedIn Profile Enhancement
✅ Portfolio Development Support
✅ Exposure to AI & Data-Driven Technologies
About Us
Corporate Web Solutions works on technology-driven digital solutions involving data, automation, web technologies, and artificial intelligence. Our internship programs focus on practical learning and real-world project exposure.
Role Overview
As a Data Science Intern, you'll work with datasets to perform analysis, visualization, and machine learning tasks while learning modern AI-assisted workflows.
Key Responsibilities
- Collect, clean, and analyze datasets.
- Perform exploratory data analysis.
- Create data visualizations and reports.
- Assist in developing machine learning models.
- Work with Python-based data science tools.
- Explore AI tools for data analysis and productivity.
Requirements
- Basic knowledge of Python.
- Understanding of data analysis fundamentals.
- Familiarity with Pandas and NumPy is a plus.
- Basic understanding of statistics.
- Analytical and problem-solving skills.
Perks
- Certificate of Internship
- Flexible work hours
- Mentorship and real project exposure
- Potential for PPO
- Letter of Recommendation
- Performance-Based Stipend available up to ₹18,000/month
Hiring for Data Scientist / Senior Data Scientist
Exp : 4 - 12 yrs
Edu : BE/B.tech/MCA
Work Location : Pune
Notice Period : Immediate - 15 days
Skills :
4+ years of experience in data engineering, data science, or related domains.
Hands-on experience with SQL, Python, and distributed data systems.
Knowledge of machine learning techniques and statistical analysis.
Experience with cloud data platforms (Azure Data Factory, AWS Glue, GCP BigQuery).
Familiarity with DevOps practices and CI/CD for data pipelines.
Platforms & Operations Experience (Preferred)
- Experience working with Azure, AWS, or Google Cloud data tools.
Operational experience with data orchestration tools (Airflow, ADF, Glue).
Understanding of Kubernetes, Docker, or containerized environments.
Hands-on experience with data warehousing platforms (Snowflake, Redshift, BigQuery).
Experience in monitoring, logging, and alerting operations for data workflows.
Job Summary:
We are looking for a skilled Data Scientist with strong expertise in demand forecasting, predictive analytics, and emerging Generative AI technologies. The ideal candidate should have hands-on experience in machine learning, deep learning, NLP, and LLM-based solutions, along with proficiency in Python, SQL, Power BI, and advanced Excel. This role involves building scalable forecasting models and leveraging AI/GenAI to deliver actionable business insights.
Key Responsibilities:
- Develop and deploy demand forecasting models using machine learning and deep learning techniques.
- Analyze historical data to identify trends, seasonality, and demand patterns.
- Build predictive models to improve supply chain and inventory planning.
- Work with large datasets using Python and SQL for data extraction, transformation, and analysis.
- Design dashboards and reports using Power BI for business stakeholders.
- Utilize advanced Excel techniques (Pivot Tables, Power Query, formulas) for analysis and reporting.
- Build and integrate NLP-based solutions for text data analysis and insights.
- Develop and implement LLM-based applications using Generative AI frameworks.
- Design and deploy RAG (Retrieval-Augmented Generation) pipelines for intelligent data retrieval and response generation.
- Collaborate with cross-functional teams (operations, finance, product) to align forecasting and AI solutions.
- Continuously improve model accuracy and performance through experimentation and optimization.
Required Skills:
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Solid understanding of machine learning & deep learning algorithms.
- Experience in demand forecasting / time-series analysis (ARIMA, Prophet, LSTM, etc.).
- Hands-on experience with NLP techniques and libraries (NLTK, SpaCy, Transformers).
- Experience working with LLMs and Generative AI frameworks (OpenAI, Hugging Face, LangChain, etc.).
- Strong understanding of RAG architectures and vector databases (FAISS, Pinecone, etc.).
- Advanced knowledge of SQL for data manipulation.
- Hands-on experience with Power BI for visualization and reporting.
- Expertise in advanced Excel (Power Query, dashboards, data modeling).
- Strong analytical and problem-solving skills.
Preferred Qualifications:
- Experience in supply chain, logistics, or e-commerce forecasting.
- Knowledge of cloud platforms (AWS, Azure, or GCP).
- Familiarity with data pipelines and ETL processes.
- Understanding of business metrics and KPIs related to demand planning.
We are looking for motivated and enthusiastic candidates for a Python and Machine Learning Internship. This internship provides an opportunity to gain practical experience in Python programming, data analysis, and machine learning through hands-on projects and industry-oriented tasks.
Key Responsibilities:
- Develop and implement Python-based applications and solutions.
- Work with data preprocessing, analysis, and visualization.
- Build, train, and evaluate machine learning models.
- Apply machine learning algorithms to real-world datasets.
- Assist in developing and testing project modules.
- Debug code and improve model performance.
- Work on practical projects under the guidance of experienced trainers/mentors.
Who Can Apply:
Pursuing students from BE/BTech, BCA, BSc, MCA, MTech, MSc, Diploma and related computer science backgrounds.
Mode of internship: Offline / Online / Hybrid
What You Will Gain:
- Hands-on experience with Python and Machine Learning.
- Practical project development experience.
- Exposure to real-world datasets and ML applications.
- Guidance from experienced mentors.
- Internship Certificate and Letter of Recommendation upon successful completion.







