Data Scientist

Data Scientist at Archcorp Architectural Engineering · Remote, Dubai · 0 - 4 years · ₹5L - ₹15L / yr · Profitable · Remote friendly · Posted 15 Aug 2022

Data Scientist

at Archcorp Architectural Engineering

Posted by Yash Hemnani

0 - 4 yrs

₹5L - ₹15L / yr

Remote, Dubai

Skills

Machine Learning (ML)

Data Science

Natural Language Processing (NLP)

Computer Vision

Neural networks

Artificial Neural Network (ANN)

Predictive modelling

Deep Learning

recommendation algorithm

Main Responsibilities:

Work closely with your business to identify issues and use data to propose solutions for effective decision making
Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
Querying databases and using statistical computer languages: R, Python, SLQ, etc.
Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
Test data mining models to select the most appropriate ones for use on a project
Work in a POSIX/UNIX environment to run/deploy applications
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
Horizon scan to stay up to date with the latest technology, techniques and methods
Coordinate with different functional teams to implement models and monitor outcomes.
Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

General Expectations:

Able to create algorithms to extract information from large data sets
Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
Experience with extracting and aggregating data from large data sets using SQL or other tools
Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
Knowledge of Machine Learning techniques and their respective pros and cons
Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
Hands-on experience on C#, Javascript, .Net
Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
Strong knowledge of computer science, algorithms, and design patterns
Strong oral and written communication, and other soft skills critical to collaborating and engage with teams

Main Responsibilities:

Work closely with your business to identify issues and use data to propose solutions for effective decision making
Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
Querying databases and using statistical computer languages: R, Python, SLQ, etc.
Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
Test data mining models to select the most appropriate ones for use on a project
Work in a POSIX/UNIX environment to run/deploy applications
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
Horizon scan to stay up to date with the latest technology, techniques and methods
Coordinate with different functional teams to implement models and monitor outcomes.
Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

General Expectations:

Able to create algorithms to extract information from large data sets
Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
Experience with extracting and aggregating data from large data sets using SQL or other tools
Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
Knowledge of Machine Learning techniques and their respective pros and cons
Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
Hands-on experience on C#, Javascript, .Net
Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
Strong knowledge of computer science, algorithms, and design patterns
Strong oral and written communication, and other soft skills critical to collaborating and engage with teams

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About Archcorp Architectural Engineering

Founded :

2005

Type :

Services

Size :

20-100

Stage :

Profitable

About

Established in 2005 in Dubai, U.A.E., Archcorp Architectural Engineering has created a reputation of providing core expertise in the arena of design and engineering consultancy services. With branch offices in Sharjah and Abu Dhabi, Archcorp is built on delivering uncompromising quality and commitment in the disciplines of Architecture, Engineering, and Sustainable Design. As part of a steady commitment to the environment, Archcorp is paving the way to eco-friendly solutions with the assistance of revolutionary technology, thus gearing the business towards a viable placement in the field of Sustainable Building Design, Alternative Energy Generation and Energy Efficient Design.

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Internship Overview

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Collect, clean, and preprocess structured and unstructured datasets.
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Eagerness to learn and adapt to new technologies.

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Recent graduates looking to gain practical industry experience.
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Hands-on experience with real-world AI and Data Science projects.
Mentorship from industry professionals.
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MODE: Work From Home (Online)

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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

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5 days a week, Fully Flexible Shift

Job Description:

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

Data Science with AI Intern

Posted by Sachin Singh

Remote only

0 - 1 yrs

₹12000 - ₹15000 / mo

Data Science

Python

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 the Internship

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

Data Sciecne with AI

Posted by Sachin Singh

Remote only

0 - 1 yrs

₹12000 - ₹18000 / mo

Data Science

Artificial Intelligence (AI)

Python

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

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.

Data Scientist

Posted by Arushi Jamwal

Bengaluru (Bangalore), Pune, Hyderabad

5 - 10 yrs

₹20L - ₹35L / yr

Forecasting

Demand forecasting

Predictive modelling

Time series

Amazon Web Services (AWS)

+4 more

Your Experience at a Glance

We’re hiring a Data Scientist for our client delivers advanced data, analytics, and digital transformation solutions to help organizations modernize and drive business insights.

As a Data Scientist, you will play a key role in developing and deploying demand forecasting and pricing models, leveraging advanced statistical and machine learning techniques. You will collaborate closely with data engineers and business stakeholders to extract, transform, and analyze large datasets, ensuring robust and scalable solutions. This position requires strong ownership of model development, from data pipeline integration to model evaluation and reporting. Your work will directly impact business decision-making and operational efficiency, contributing to KPIP’s mission of enabling data-driven transformation.

KPIP is a global consulting and technology services firm specialising in data, analytics, and digital transformation. Serving a diverse range of industries, KPIP empowers organisations to modernize their data ecosystems and unlock actionable business insights. The company is recognized for its expertise in delivering scalable solutions, fostering a culture of innovation, and driving measurable impact for clients worldwide.

Key Responsibilities

● Develop and implement demand forecasting and pricing models using advanced statistical and machine learning techniques.

● Extract, transform, and analyze large datasets using Python and SQL to support model development and business insights.

● Collaborate with data engineers to build and maintain robust, scalable data pipelines for model training and inference.

● Apply regression, classification, time-series forecasting, ensemble methods, and feature engineering to solve business problems.

● Work with business stakeholders to understand requirements and translate them into actionable data science solutions.

● Create automated reports and dashboards to present and track model outputs and performance.

● Continuously evaluate and improve model accuracy and effectiveness based on business feedback and new data.

● Document methodologies, processes, and results to ensure transparency and reproducibility.

● Stay updated with the latest advancements in data science and machine learning to drive innovation within the team.

Required Skills

● Proven experience in demand forecasting and predictive modeling.

● Strong proficiency in Python, including pandas, NumPy, scikit-learn, and TensorFlow or PyTorch.

● Expertise in SQL for data extraction and transformation.

● Solid understanding of statistical and machine learning techniques such as regression, classification, time-series forecasting, ensemble methods, and feature engineering.

● Ability to analyze and interpret large, complex datasets to generate actionable insights.

● Experience collaborating with data engineers to develop scalable data pipelines.

● Strong problem-solving skills and attention to detail.

● Excellent communication skills for presenting technical concepts to non-technical stakeholders.

Nice to Have

● Experience with customer segmentation, recommendation systems, and sentiment analysis.

● Knowledge of inventory optimization, promotion uplift modeling, and campaign analysis.

● Familiarity with churn prediction models.

● Proficiency in Power BI for creating automated reports and dashboards.

● Experience in developing and maintaining data pipelines for model training and inference.

Why Join?

Join to work on impactful data science projects that drive real business outcomes and innovation. You’ll tackle complex technical challenges, collaborate with talented professionals, and have opportunities for continuous learning and growth, fosters a culture of collaboration, excellence, and data-driven decision-making, empowering you to make a meaningful difference in a dynamic environment.

About the Employment Model

Direct Hire (Client Payroll) : For this role, you’ll be hired directly by the client and be part of their internal team. Straatix supports the hiring process, but your employment, payroll, and benefits are all managed by the client.