Data Scientist

About Nexora Group

Nexora Group is a technology and innovation-driven organization dedicated to building intelligent solutions that leverage Artificial Intelligence, Machine Learning, Data Analytics, and emerging technologies. We are committed to fostering talent by providing aspiring professionals with practical exposure, mentorship, and opportunities to work on real-world projects.

Internship Overview

Nexora Group is looking for enthusiastic and driven AI/ML Interns to join our team. This internship is ideal for students and recent graduates who are passionate about Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. Interns will gain hands-on experience working on real-world AI projects, developing intelligent models, and solving complex business challenges using data-driven approaches.

Key Responsibilities

• Assist in developing, training, and evaluating Machine Learning models.
• Collect, clean, and preprocess datasets for AI/ML applications.
• Conduct exploratory data analysis and feature engineering.
• Work on Deep Learning, Natural Language Processing (NLP), and Computer Vision projects.
• Research and implement AI algorithms and emerging technologies.
• Support the development of Generative AI and Large Language Model (LLM)-based solutions.
• Optimize model performance and evaluate results using industry-standard metrics.
• Document project workflows, findings, and technical reports.
• Collaborate with cross-functional teams to develop innovative AI solutions.

Required Skills

• Basic understanding of Machine Learning and Artificial Intelligence concepts.
• Knowledge of Python programming.
• Familiarity with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, or Keras.
• Understanding of data structures, algorithms, and statistics.
• Basic knowledge of Deep Learning, NLP, or Computer Vision concepts.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.
• Willingness to learn and adapt to new technologies.

Preferred Qualifications

• Experience with AI/ML projects, hackathons, or research work.
• Knowledge of Generative AI, Prompt Engineering, and LLMs.
• Familiarity with cloud platforms and AI deployment tools.
• Certifications in AI, Machine Learning, or Data Science are a plus.
• GitHub projects or portfolio showcasing AI/ML work.

Eligibility

• Undergraduate or postgraduate students pursuing Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or related fields.
• Recent graduates seeking practical industry experience.
• Candidates with a strong interest in AI innovation and research.

What You'll Gain

• Hands-on experience with real-world AI and Machine Learning projects.
• Mentorship from experienced AI professionals.
• Exposure to cutting-edge AI tools, frameworks, and technologies.
• Internship Completion Certificate.
• Letter of Recommendation based on performance.
• Opportunity for a Pre-Placement Offer (PPO) for outstanding performers.
• Professional networking and career development opportunities.

About the Internship

Nexora Group is looking for passionate and innovative students interested in Artificial Intelligence (AI) and Machine Learning (ML). This internship offers an opportunity to work on real-world AI projects, explore machine learning techniques, and gain hands-on experience with emerging technologies that are transforming industries worldwide.

Interns will collaborate with mentors, work on practical assignments, and develop industry-relevant skills in AI, ML, data-driven decision-making, and intelligent systems.

Key Responsibilities

• Assist in developing and testing Machine Learning models.
• Work on AI-based applications and automation projects.
• Analyze datasets and prepare data for model training.
• Research emerging AI and Machine Learning technologies.
• Evaluate model performance and improve accuracy.
• Create reports and documentation for assigned projects.
• Participate in project discussions, training sessions, and team meetings.
• Support the development of innovative AI-driven solutions.

Required Skills

• Basic knowledge of Python programming.
• Understanding of Artificial Intelligence and Machine Learning concepts.
• Familiarity with data analysis and statistics.
• Knowledge of Machine Learning libraries such as Scikit-learn, TensorFlow, or PyTorch is a plus.
• Strong analytical and problem-solving skills.
• Ability to learn new technologies quickly.
• Good communication and teamwork skills.

Eligibility

• B.Tech, M.Tech, BCA, MCA, B.Sc., M.Sc., or related disciplines.
• Students pursuing Computer Science, Artificial Intelligence, Data Science, Information Technology, Mathematics, or related fields.
• Freshers and recent graduates are encouraged to apply.

What You Will Learn

✅ Artificial Intelligence Fundamentals

✅ Machine Learning Algorithms

✅ Data Preprocessing & Model Training

✅ Generative AI Concepts

✅ Predictive Analytics

✅ AI Project Development

✅ Industry-Oriented Problem Solving

Benefits

✅ Internship Completion Certificate

✅ Letter of Recommendation (Performance-Based)

✅ Hands-on AI & ML Project Experience

✅ Professional Mentorship & Guidance

✅ Resume & LinkedIn Profile Enhancement

✅ Portfolio Development Support

✅ Exposure to Real-World AI Applications

We are seeking a Senior Data Science & ML Associate with 4+ years of applied ML experience to build and ship models end-to-end from data prep and feature engineering to training, evaluation, and deployment driving measurable business impact.

Key Responsibilities

• Build, train, and evaluate ML and deep-learning models

• Engineer features and prepare data at scale

• Deploy models and monitor production performance

• Partner with stakeholders to frame problems and metrics

• Communicate results and drive decisions

• Iterate on models from business feedback

Mandatory Skills

• 4+ years applied machine learning

• Strong Python (Pandas, NumPy, scikit-learn)

• Classical ML and deep learning (TensorFlow/PyTorch)

• Solid statistics and experiment design

• SQL and data wrangling at scale

• Model deployment / MLOps exposure

Nice to Have: NLP or computer vision; cloud ML (SageMaker, Azure ML)

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

LetsIntern is looking for passionate and motivated candidates for the AI & Machine Learning Internship Program. This internship is designed for students, freshers, and aspiring AI professionals who want hands-on experience working on real-world AI and Machine Learning projects.

Interns will gain exposure to practical AI workflows, data-driven problem solving, and industry-standard development practices under expert mentorship.

Roles & Responsibilities

✔ Assist in developing AI & Machine Learning models

✔ Work on real-world datasets and predictive analytics tasks

✔ Perform data preprocessing, cleaning, and visualization

✔ Support AI-based application development and testing

✔ Research and implement Machine Learning algorithms

✔ Collaborate with mentors and project teams on live tasks

✔ Prepare reports, insights, and documentation for projects

Skills & Technologies

• Python Programming

• Machine Learning Fundamentals

• Data Analysis & Visualization

• NumPy, Pandas, Matplotlib

• Deep Learning Basics

• NLP & Computer Vision (Basics)

• Model Training & Evaluation

Eligibility Criteria

✔ Students pursuing any degree (CS/IT preferred)

✔ Freshers interested in AI & ML

✔ Candidates passionate about Artificial Intelligence & Data Science

✔ Basic programming knowledge is a plus

✔ Strong willingness to learn and work on projects

What You’ll Gain

✔ Hands-on experience with AI & ML projects

✔ Live training sessions & mentorship

✔ Exposure to industry tools and workflows

✔ Internship Certificate

✔ Letter of Recommendation based on performance

✔ Opportunity to build a strong AI project portfolio

✔ Flexible & remote working environment

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.

About the Internship

SkillSecure X is seeking passionate Artificial Intelligence & Machine Learning (AI/ML) Interns who are eager to develop practical skills in machine learning, deep learning, and AI applications. Interns will work on guided projects, gain hands-on experience with real-world datasets, and learn industry-standard AI tools and techniques.

Responsibilities

• Assist in developing AI and Machine Learning models.
• Work with Python and popular ML libraries.
• Prepare, clean, and analyze datasets.
• Perform data preprocessing and model evaluation.
• Build basic predictive and classification models.
• Document project progress and complete weekly assignments.

Required Skills

• Basic knowledge of Python programming.
• Understanding of Machine Learning fundamentals.
• Familiarity with Data Science concepts.
• Knowledge of libraries such as NumPy, Pandas, or Scikit-learn is a plus.
• Strong analytical and problem-solving skills.

Eligibility

• Undergraduate or postgraduate students.
• Recent graduates.
• Students pursuing Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or related disciplines.

Benefits

• Hands-on AI & ML project experience.
• Mentor-guided learning.
• Internship Completion Certificate.
• Letter of Recommendation (based on performance).
• Portfolio-building opportunities.
• Flexible remote internship.

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.

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