Data Science Trainee
Gurugram, Haryana, India
Srijan Technologies
Srijan is a digital experience services company that helps global Fortune 500s to nonprofits build transformative digital paths to a better future.Location: Gurugram,Haryana,India
About us
We turn customer challenges into growth opportunities.
Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.
We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.
Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe
Job Summary:
We are seeking highly motivated and skilled Data Science Associates to join our team
and participate in captivating projects centered around Natural Language Processing
(NLP), Computer Vision (CV), Information Extraction & Information Retrieval based
applications. As an Associate, you will have the unique opportunity to work on building
cutting-edge solutions for analyzing unstructured datasets including images, audio,
videos, and textual data. Ideal candidates should possess a basic understanding of
machine learning, deep learning, and a good hands-on experience in Python
development.
Throughout the job, Associates will gain valuable experience in the entire data science
lifecycle, from requirements gathering and problem formulation to building scalable
AI/ML systems and APIs for user-centric consumption.
Location: Delhi NCR - Hybrid
Qualification: B.Tech, BE- CS, ECE Preferred
Responsibilities:
● Assist & Collaborate with cross-functional teams to comprehend user
requirements, formulate, implement and deliver impactful data science solutions
● Utilize machine learning and deep learning techniques to extract insights and
patterns from complex unstructured datasets
● Assist in data preprocessing, feature engineering, and the development of
sophisticated models
● Learn & employ Docker containers and cloud platforms to build scalable systems
and APIs, ensuring seamless user interaction and experience
● Acquire a comprehensive knowledge of NLP, CV, information extraction/retrieval
methodologies to augment the analysis of unstructured data
Requirements:
● Recently graduated B.Tech/M.Tech degree graduates in Data Science or Computer
Science
● Good foundational understanding of machine learning and deep learning
concepts
● Proficiency in Python programming
● Familiarity with popular libraries and frameworks such as TensorFlow, Keras,
PyTorch, and scikit-learn
● Demonstrated interest in NLP, CV, and information extraction/retrieval fields
● Strong analytical and problem-solving abilities
● Excellent verbal and written communication skills
● Collaborative mindset with the ability to take ownership of assigned tasks
● Exposure to Docker containers, cloud platforms, or related technologies is a plus
but not mandatory
● Strong desire to continuously learn and stay abreast of the latest advancements in
data science and AI
Why work for Material?
In addition to fulfilling, high-impact work, company culture and benefits are integral to determining if a job is a right fit for you. Here’s a bit about who we are and highlights around what we offer.
Who We Are & What We Care About
· Material is a global company and we work with best-of-class brands worldwide. We also create and launch new brands and products, putting innovation and value creation at the center of our practice. Our clients are in the top of their class, across industry sectors from technology to retail, transportation, finance and healthcare.
· Material employees join a peer group of exceptionally talented colleagues across the company, the country, and even the world. We develop capabilities, craft and leading-edge market offerings across seven global practices including strategy and insights, design, data & analytics, technology and tracking. Our engagement management team makes it all hum for clients.
· We prize inclusion and interconnectedness. We amplify our impact through the people, perspectives, and expertise we engage in our work. Our commitment to deep human understanding combined with a science & systems approach uniquely equips us to bring a rich frame of reference to our work.
· A community focused on learning and making an impact. Material is an outcomes focused company. We create experiences that matter, create new value and make a difference in people's lives.
What We Offer
· Professional Development and Mentorship.
· Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work Certified).
· Wellness, meditation and Counselling sessions.
Apply to this job* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Computer Science Computer Vision Deep Learning Docker Engineering Feature engineering Finance Keras Machine Learning NLP Python PyTorch Scikit-learn TensorFlow Unstructured data
Perks/benefits: Career development Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Research Scientist jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs