273 Data Science jobs in Hyderabad
Data Science
Posted today
Job Viewed
Job Description
• .Use machine learning, statistical, and programming skills to enable data analytics.
• Drive informed decision-making and present findings to both technical and non-technical audiences.
• Work closely with physicians to identify medically relevant use cases, develop machine learning models, and validate impact.
• Deliver insights and values from heterogeneous data to investigate complex problems in the health care domain for multiple use cases
• Provide technical direction and mentor junior members of the Medical Informatics team.
• Work closely with software engineers to facilitate model integration and deployment.
• Embrace a fast-paced, collaborative environment dedicated to building atop cutting-edge technology.
Data science specialist
Posted today
Job Viewed
Job Description
We're Hiring for Data Science Instructors (100% Teaching Role) (Night Shift Only)for Full Time & Permanent Remote opportunity!Vacancy - 5Minimum 4 years (Full Time) of experience in Teaching/Non Teaching in Data Science is a MUSTBudget - 50-75k Per Month (Gross) (Fixed) + Incentives As per Class PerformanceSkill Arbitrage is looking for passionate educators to empower aspiring data professionalsWhat we’re looking for: #Python, #Excel, #SQL, #Tableau, #Power BI, #ML, and #datavisualizationSubstantial Experience in IT (Non Teaching Domain)Ability to simplify complex concepts with clarityStrong judgment, creativity, and content development skillsStrong proficiency in English communicationResponsibilities :Develop and deliver engaging curriculum.Provide constructive feedback and assess student progress.Collaborate with students and team members effectively.If you’re excited to inspire and shape the future of data science, send updated CVs to can also directly reach me on (Whats App only)
Data Science Analyst
Posted today
Job Viewed
Job Description
Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.
What You’ll Do
- Analyze complex datasets to uncover trends, patterns, and actionable insights.
- Develop predictive models and statistical analyses to support business strategies.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
- Build dashboards and visualizations to communicate findings effectively to stakeholders.
- Stay ahead of data trends and implement best practices in analytics and machine learning.
What We’re Looking For
- Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
- Strong programming skills in Python, R, or SQL.
- Experience with data visualization tools (Tableau, Power BI, etc.).
- Solid understanding of machine learning algorithms and statistical methods.
- Excellent problem-solving and communication skills.
- A curious mindset with a passion for exploring data.
Why Join Us?
- Opportunity to work on exciting, high-impact projects.
- Collaborative and supportive work environment.
- Resources for professional development and growth.
- A chance to shape the future of data-driven decision-making.
MLOPS Data Science
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Develop, train, and validate predictive and analytical models using machine learning techniques.
- Collaborate with data engineers and business teams to define data requirements and success metrics.
- Deploy machine learning models into production using ML Ops best practices.
- Build automated pipelines for model training, testing, monitoring, and retraining.
- Optimize model performance and ensure scalability and reliability.
- Monitor model drift, performance degradation, and ensure continuous improvement.
- Implement CI/CD practices for machine learning workflows.
Technical Skills Required:
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
- Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML).
- Good understanding of data engineering concepts (ETL, data pipelines, APIs).
- Hands-on with containerization and orchestration (Docker, Kubernetes).
- Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment.
- Strong background in statistics, machine learning algorithms, and model evaluation techniques .
- Familiarity with version control (Git) and CI/CD pipelines.
Preferred Qualifications:
- Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field.
- Experience in handling large-scale data pipelines and real-time model serving .
- Exposure to feature stores and automated model monitoring.
- Strong problem-solving, analytical, and communication skills.
Data Science Specialist
Posted today
Job Viewed
Job Description
We're Hiring for Data Science Instructors (100% Teaching Role) (Night Shift Only)
for Full Time & Permanent Remote opportunity!
Vacancy - 5
Minimum 4 years (Full Time) of experience in Teaching/Non Teaching in Data Science is a MUST
Budget - 50-75k Per Month (Gross) (Fixed) + Incentives As per Class Performance
SkillArbitrage is looking for passionate educators to empower aspiring data professionals
What we’re looking for: #Python, #Excel, #SQL, #Tableau, #PowerBI, #ML, and #datavisualization
Substantial Experience in IT (Non Teaching Domain)
Ability to simplify complex concepts with clarity
Strong judgment, creativity, and content development skills
Strong proficiency in English communication
Responsibilities :
Develop and deliver engaging curriculum.
Provide constructive feedback and assess student progress.
Collaborate with students and team members effectively.
If you’re excited to inspire and shape the future of data science, send updated CVs to
You can also directly reach me on (WhatsApp only)
Data Science Trainer
Posted today
Job Viewed
Job Description
Manager - Data Science
Posted today
Job Viewed
Job Description
Location : Hyderabad
Role Highlights:
As a Manager - Data Science , you wont just manage, you'll lead by doing . This role demands strong hands-on expertise in Machine Learning, Generative AI, Python, and SQL , and any cloud environment (GCP, Azure or AWS) ensuring that you stay deeply engaged in the technical side while mentoring and growing a high-performing team. You'll spearhead end-to-end AI/ML project execution , collaborate with cross-functional teams, and drive innovation within Blends Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, wed love to have you on board!
What You'll Tackle Each Day:
Delivery & Project Management:
- Develop and implement ML models, Gen AI solutions, and predictive analytics .
- Perform data mining, feature engineering, and statistical analysis .
- Own project roadmaps, quality control, and timely delivery .
- Collaborate with Data Engineering teams to deploy and operationalize ML models .
- Automate and optimize workflows for efficiency.
Practice Development:
- Contribute to scaling Blends Data Science practice by building new capabilities.
- Design industry-specific AI/ML solutions and contribute to thought leadership.
- Evaluate emerging AI trends and tools and integrate them into our ecosystem.
- Lead innovation initiatives , research, and internal AI development.
People & Leadership:
- Mentor and develop a high-performance data science team .
- Guide career development and set performance benchmarks.
- Collaborate with cross-functional teams to drive seamless execution.
Qualifications
- 8+ years of experience in Data Science & AI , with hands-on expertise in ML, Python, and SQL .
- Exposure to Generative AI — Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilities
- Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.).
- Experience in end-to-end ML deployment , including working with either Azure or AWS or GCP or Databricks .
- Proven ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce .
- Deep expertise in statistics, probability, stochastic processes, and causal inference .
- Strong communicator who can explain AI concepts to non-technical stakeholders .
- Experience with big data tools (Hadoop, Hive, PySpark) and ML pipelines .
- Bonus: Experience in Google Analytics, Adobe Analytics, or digital marketing analytics .
- Bachelors/Master’s degree in Computer Science, Statistics, Math, Operations Research, or a related field .
What do you get in return?
- Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table.
- Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career.
- Idea Tanks : Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.
- Growth Chats : Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills.
- Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing.
- Recognition & Rewards : We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program.
- Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.
Apply Now!
Be The First To Know
About the latest Data science Jobs in Hyderabad !
Data Science Solutions
Posted today
Job Viewed
Job Description
• Design and integrate data from different sources.
• Forms analytics platform components and processing components required to provide a business solution.
• Engage with business stakeholders to design and own end-to-end solutions to empower data-driven decision-making.
• Lead the design, implementation, and continuous delivery of an insights data pipeline supporting the development and operation of custom analytic products/services across the organization.
• Ensures appropriate data testing is completed and meets test plan requirements.