Sales Intern
Sales Intern
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Job Description
About Us:
DataCouch is one of the Leading Training Staff Augmentation & Consultancy providers working within the most coveted domains of the IT market such as Data Engineering Big Data Analytics Data Science Machine Learning Artificial Intelligence DevOps Cloud Computing Robotics Process Automation and many more. With a mission to work dedicatedly towards building an innovative and qualityconscious global organization encompassing the interests of customers instilling values in employees and returns for stakeholders
Key Responsibilities:
BCA/ BTech IT/ BTech CSE candidates will be preferred.
Making cold calls and writing cold emails to generate sales and target new clients.
Contributing to the branding and sales promotion of the company.
Exploring building and managing new business partnerships.
Visiting potential prospects in the field to demonstrate our products and services.
Developing proposals presentations partnership documents and other sales enablement materials.
Learning and applying sales techniques and strategies under the guidance of experienced sales professionals.
Assisting in the creation and execution of email campaigns to engage potential leads.
Working closely with the manager or assigned staff member and completing all allocated tasks.
Following up with leads through email phone calls or social media to schedule meetings or gather additional information.
Drafting minutes of meetings (MOM).
Requirements
Qualifications:
Bachelors degree in a relevant field from an accredited institution.
A strong desire to learn and develop both professionally and personally.
Ability to work effectively in a collaborative team environment.
Good verbal and written communication skills.
Willingness to take on challenges and solve problems creatively.
Ability to adapt to changing priorities and tasks as needed.
Benefits
Performance based rewards
Opportunity for growth and advancement within the company
Comprehensive training program
Positive work environment
If you are a highly motivated individual with a passion for sales and a willingness to learn we encourage you to apply for this exciting opportunity.
Educational Background: Bachelor's and Master s degrees in Data Science, Computer Science, Statistics, or a related field. Technical Skills: Proficient in Python and familiar with key data science libraries (Pandas, Scikit-Learn, TensorFlow, or PyTorch). Strong understanding of all complex machine learning algorithms not limited to decision trees, random forests, and gradient boosting machines. Competence in data preprocessing, cleaning, and analysis. Familiarity with data cleaning, transformation, and preprocessing techniques. Experience with SQL and possibly some NoSQL databases for data querying and manipulation. Basic knowledge of data visualization tools like Matplotlib and Seaborn. Strong skills in SQL for data extraction, and the ability to work with complex database systems. Advanced knowledge of analytical tools and software such as Excel, Tableau, or more specialized software depending on the industry (e.g., SAS, SPSS). Experience with data visualization and the ability to create interactive dashboards. Vast knowledge of NLP, Deep Learning, Machine Learning , Knowledge of genAI with implementation knowledge (LLM, fine tuning RAG implementation) and many more. Familiarity with cloud services (AWS, Azure, Google Cloud) for data processing and storage.. Professional Experience: 2-3 years of experience in a data science or related role. Proven track record of developing and deploying machine learning models to solve business problems. Experience in projects that involve complex data structures and large-scale datasets. Exposure to model validation and implementation in a production environment. Demonstrated experience in analyzing large datasets and delivering actionable insights. Proven track record of effectively communicating findings to help inform business decisions. Experience in performing statistical analysis, forecasting, and establishing data structures that optimize analytical capabilities. Soft Skills: Strong problem-solving skills with a capability to work through complex issues using a logical and analytical approach. Good communication skills to effectively articulate insights and technical details to non-technical stakeholders. Ability to work collaboratively in team settings and manage project timelines effectively. Strong attention to detail with the capability to work on multiple projects simultaneously. Effective communication skills, capable of presenting complex information in an understandable and compelling manner. Collaboration skills to work effectively with both technical teams and business units.
Employment Type
Full Time
Company Industry
Higher Education / Education / Professional Training and Coaching / Education Administration Programs
