Great intelligence requires knowledgeable and experienced people who are familiar with our client’s industry and the challenges they face every day. It takes attention to detail, a commitment to uncovering insights that inspire action, and a relentless focus on doing things right the first time.
Truly, Course5’s greatest strength lies within our people. Our depth of knowledge, ingenuity, and the way we work as one seamless, integrated, goal-oriented team allows us to inspire creativity in those with whom we interact.
So, whether you are beginning your career or have a wealth of expertise in the areas of analytics, applied AI, digital technology, or consumer & market insights, we have a wonderful blend of culture, expertise, and professional rewards to help you thrive.
DISCLAIMER AND NOTIFICATION:
We (Course5) do not charge/accept any amount or security deposit from job seekers during the selection process or while inviting candidates for an interview.
If you meet our position requirements and can see yourself at Course5, we invite you to apply by e-mailing your resume and cover letter to us at careers@course5i.com. Please include the job title in your subject line. We do not accept any hiring requests on phone.
Please note that the hiring process at Course5 Intelligence is based purely on merit. If you are applying via any third-party recruitment site or agency, ensure that no monetary transaction is involved in the application/selection process.
Current Openings
bengaluru-india
7 OPENINGSData Scientist
• 4-8 Years experience as a Data Scientist with Statistics and Machine Learning Python, SQL, Preferably from the CPG/Tech/Healthcare domain
• Experience in MLOps practices specifically on premise deployment
• Hands-on experience developing and deploying machine learning models in real-world applications
• Proficiency in at least one deep learning framework, preferably PyTorch or Keras
Data Scientist
• 4-8 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare.
• Expertise in Python programming, including libraries such as NumPy, Pandas, sci-kit-learn, and others commonly used in data analysis and machine learning.
• Hands-on experience developing and deploying machine learning models in real-world applications.
• Strong understanding of deep learning techniques, especially in the domains of computer vision or
NLP is good to have.
Data Engineer – Azure
Azure Data Engineer | Experience Range: 5-10 Years | Must have skills: SQL(Expert Level), Azure Data Engineer, Data Bricks, Azure platform, Datalake, PySpark, Python, airflow, snowflake
READ MORESenior Data Scientist – Databricks
8-12 Years of experience in Python, Pyspark, SQL, Databricks & ML
READ MOREData Scientist – LLM & GenAI
5-10 Years of experience in Python, ML, LLM, GenAI & Model development
READ MOREcoimbatore-india
4 OPENINGSData Scientist
• 4-8 Yrs experience as a Data Scientist with Statistics and Machine Learning Python, SQL, Preferably from the CPG/Tech/Healthcare domain
• Experience in MLOps practices specifically on-premise deployment
• Hands-on experience developing and deploying machine learning models in real-world applications
• Proficiency in at least one deep learning framework, preferably PyTorch or Keras
Data Scientist
• 4-8 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare.
• Expertise in Python programming, including libraries such as NumPy, Pandas, sci-kit-learn, and others commonly used in data analysis and machine learning.
• Hands-on experience developing and deploying machine learning models in real-world applications.
• A strong understanding of deep learning techniques, especially in the domains of computer vision or NLP is good to have.
Data Engineer – Azure
Azure Data Engineer | Experience Range: 5-10 Years | Must have skills: SQL(Expert Level), Azure Data Engineer, Data Bricks, Azure platform, Datalake, PySpark, Python, airflow, snowflake
READ MOREgurugram-india
8 OPENINGSData Scientist
• 4-8 Yrs experience as a Data Scientist with Statistics and Machine Learning Python, SQL, Preferably from CPG/Tech/Healthcare domain
• Experience in MLOps practices specifically on-premise deployment
• Hands-on experience developing and deploying machine learning models in real-world applications
• Proficiency in at least one deep learning framework, preferably PyTorch or Keras
Data Scientist
• 4-8 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare.
• Expertise in Python programming, including libraries such as NumPy, Pandas, sci-kit-learn, and others commonly used in data analysis and machine learning.
• Hands-on experience developing and deploying machine learning models in real-world applications.
• Strong understanding of deep learning techniques, especially in the domains of computer vision or
NLP is good to have.
Data Engineer – Azure
Azure Data Engineer | Experience Range: 5-10 Years | Must have skills: SQL(Expert Level), Azure Data Engineer, Data Bricks, Azure platform, Datalake, PySpark, Python, airflow, snowflake
READ MORESenior Data Scientist – Databricks
8-12 Years of experience in Python, Pyspark, SQL, Databricks & ML
READ MOREData Scientist – LLM & GenAI
5-10 Years of experience in Python, ML, LLM, GenAI & Model development.
READ MOREmumbai-india
6 OPENINGSData Scientist
4-8 Yrs experience as a Data Scientist with Statistics and Machine Learning Python, SQL.
READ MOREData Scientist
• 4-8 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare.
• Expertise in Python programming, including libraries such as NumPy, Pandas, sci-kit-learn, and others commonly used in data analysis and machine learning.
• Hands-on experience developing and deploying machine learning models in real-world applications.
• Strong understanding of deep learning techniques, especially in the domains of computer vision or
NLP is good to have.
Data Engineer – Azure
Azure Data Engineer | Experience Range: 5-10 Years | Must have skills: SQL(Expert Level), Azure Data Engineer, Data Bricks, Azure platform, Datalake, PySpark, Python, airflow,snowflake
READ MORESenior Data Scientist – Databricks
8-12 Years of experience in Python, Pyspark, SQL, Databricks & ML
READ MOREData Scientist – LLM & GenAI
5-10 Years of experience in Python, ML, LLM, GenAI & Model development
READ MORE