The Data Scientist will be responsible for designing and implementing data-driven solutions to solve business problems. This role involves working with large datasets, building predictive models, and collaborating with cross-functional teams to deliver actionable insights. The position is ideal for someone with strong analytical skills and hands-on experience in data science tools and techniques.
Infocepts is a global leader of end-to-end data and analytics solutions with nearly 20 years' experience enabling customers to derive value from a variety of data-driven capabilities. Unique among its peers, Infocepts operates with the scale of a global consulting firm, yet the expertise of a niche partner.
At Infocepts, you'll be challenged to think innovatively, while growing your own personal and professional skills designed with the future in mind. We have more than 1200 global professionals working on cutting edge technology solutions with a single mission - transforming our customers' journey with data-driven modernization.
Infocepts has been recognized as Gartner Peer Insights (TM) Customers' Choice for two consecutive years in 2020 and 2021 which recognizes our best-in-class services that help our customers approach any data analytics problem.
We are certified by Great Place to Work, India in 2021 and recognizes our high-trust and high-performance work culture, and great employee experience in the industry
Our award-winning reusable solutions approach is well recognized in the D&A industry and lets our associates leverage our collective and proven consultative expertise, accelerate solution delivery through automation, enable faster time to value with reusable toolkits - all while delivering exceptional customer experience.
Our success has been unique, and we are looking for professionals who are enthusiastic and passionate about data & analytics, delivering differentiated experiences, and solving real world problems for our global customers.
Location: Nagpur, Pune, Bengaluru, Chennai
Type of Employment: Full time
Key Result Areas and Activities:
Model Development & Analysis: Develop machine learning models for classification, regression, and forecasting tasks using Python and relevant libraries.
Data Preparation & Feature Engineering: Clean, transform, and prepare structured and unstructured data for modeling and analysis.
Business Collaboration: Work with business stakeholders to understand requirements and translate them into data science solutions.
Model Evaluation & Reporting: Evaluate model performance using appropriate metrics and present findings through visualizations and reports.
Deployment Support: Collaborate with engineering and MLOps teams to support model deployment and monitor performance in production.
Must Have Skills
Proficiency in Python and data science libraries (e.g., Pandas, NumPy, Scikit-learn).
Experience with machine learning techniques and model development.
Knowledge of data preprocessing, feature engineering, and model evaluation.
Familiarity with SQL and data querying.
Exposure to cloud platforms (AWS/GCP/Azure) and version control (Git).
Ability to work with large datasets and distributed computing frameworks (e.g., Spark).
Strong problem-solving and analytical thinking.
Good To Have Skill
Experience with deep learning frameworks (TensorFlow, PyTorch).
Knowledge of PySpark or Databricks.
Understanding of MLOps practices and CI/CD pipelines.
Exposure to GenAI or LLM-based applications.
Experience in supply chain, operations, or financial analytics domains.
Qualification:
Experience: 3-5 years of experience in data science, machine learning, or analytics roles.
Education: Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. Master's degree is a plus.
Qualities:
Curiosity and eagerness to learn new technologies.
Strong communication and collaboration skills.
Attention to detail and commitment to quality.
Ability to work independently and in teams.
Adaptability in fast-paced environments.
Years Of Exp
6 to 9 years
Location
India
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