Data Scientist to join our technology and analytics team in Pune. The ideal candidate will be responsible for analyzing complex datasets, developing predictive models, and translating data into actionable business insights.
The role requires strong analytical thinking, programming expertise, and practical experience with machine learning and statistical techniques. The candidate will work closely with technology, product, and business teams to develop data-driven solutions that support organizational objectives.
Experience handling large-scale datasets is preferred.
Responsibilities
- Collect, clean, process, and analyze structured and unstructured data.
- Develop and implement machine learning and statistical models.
- Identify trends, patterns, and opportunities within large datasets.
- Build predictive and forecasting models to support business decisions.
- Perform exploratory data analysis and statistical testing.
- Develop dashboards and visualizations to communicate insights effectively.
- Collaborate with engineering, product, and business stakeholders.
- Evaluate model performance and continuously improve analytical solutions.
- Apply appropriate data science techniques to real-world business problems.
- Maintain clear documentation of models, methodologies, and analytical processes.
- Stay updated with developments in AI, machine learning, analytics, and data technologies.
Required Skills
- Strong proficiency in Python and SQL.
- Knowledge of machine learning algorithms and statistical modeling.
- Experience with libraries such as Pandas, NumPy, Scikit-learn, or equivalent.
- Understanding of data visualization tools such as Power BI, Tableau, or Matplotlib.
- Strong knowledge of data preprocessing, feature engineering, and model evaluation.
- Good understanding of databases and data analytics concepts.
- Strong problem-solving and analytical abilities.
- Excellent communication and stakeholder-management skills.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related discipline.
- Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
Exposure to deep learning, NLP, Generative AI, or MLOps is an advantage.
Skills Required
- Strong proficiency in Python
- Strong proficiency in SQL
- Experience with Pandas, NumPy, Scikit-learn
- Knowledge of machine learning algorithms and statistical modeling
- Understanding of data visualization tools such as Power BI, Tableau, or Matplotlib
- Experience with data preprocessing, feature engineering, and model evaluation
- Good understanding of databases and data analytics concepts
- Strong problem-solving and analytical abilities
- Excellent communication and stakeholder-management skills
- Experience handling large-scale datasets
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related discipline
- Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud
- Exposure to deep learning, NLP, Generative AI, or MLOps
KBD Talent Forge India Pvt Ltd Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KBD Talent Forge India Pvt Ltd and has not been reviewed or approved by KBD Talent Forge India Pvt Ltd.
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Wellbeing & Lifestyle Benefits — Workplace support is depicted through lifestyle perks such as food allowance and office cab/shuttle in at least one role, and some profiles describe the company as remote-friendly. Directory-style materials also emphasize work-life balance and community service involvement.
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Retirement Support — Job-post details include Provident Fund for certain positions, indicating baseline retirement coverage. This points to statutory retirement support being part of the package for at least some roles.
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Leave & Time Off Breadth — A business-directory listing highlights paid volunteer leave alongside training and development. This suggests the leave program may include community service time in addition to standard time off, though depth is not fully specified.
KBD Talent Forge India Pvt Ltd Insights
What We Do
KBD Talent Forge India is a recruitment and talent acquisition company providing ready-to-hire professionals across India and supporting organizations with evolving talent requirements. The company specializes in executive search, permanent staffing, global recruitment, talent acquisition hiring solutions. Through professional recruitment expertise, market intelligence, and contemporary talent acquisition practices, KBD Talent Forge India connects organizations with qualified professionals whose skills, experience, and capabilities align with specific business requirements. Its services include executive and leadership hiring, technical recruitment, professional staffing, and high-volume recruitment. KBD Talent Forge India follows a structured recruitment approach focused on quality, efficiency, transparency, and organizational alignment. The company is ISO 9001:2015 certified, reflecting its commitment to established quality-management principles and structured operational processes. The company supports organizations across diverse industries and professional functions, developing recruitment strategies around business objectives, role specifications, industry conditions, talent availability, and relevant market requirements. Its approach emphasizes professional communication, candidate engagement, and effective recruitment outcomes. KBD Talent Forge India views recruitment as a strategic process of connecting organizations with qualified professionals. The company is committed to providing structured, responsive, and professional talent acquisition solutions aligned with organizational requirements. Explore careers with us: https://kbdtalentforge.com/careers-at-kbd-talent-forge/
Why Work With Us
KBD Talent Forge offers a collaborative, growth-focused environment where professionals can develop their skills, work across diverse industries, and contribute to meaningful talent solutions. We value learning, innovation, teamwork, and career growth.
