analytical scientist Jobs in Hyderabad India

analytical scientist

consultant insights & analytics (data science) Jobs in Hyderabad India

consultant insights & analytics (data science)

data analyst

data analytics analyst [t500-21705] Jobs in Hyderabad India

data analytics analyst [t500-21705]

data architect

data scientist

Tata Consultancy Services

<div>
 
 Dear Candidates,
 
 
 Greeting from TCS!!!
 
 
 TCS is looking for Data Scientist
 
 
 Experience: 6-10 years
 
 
 Location: Hyderabad / Chennai
 
 
 
 
 
 MUST HAVE SKILLS:
 
 <ul>
 <li>
 Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time &amp; remediation
 </li>
 <li>
 Python, R etc.
 </li>
 <li>
 Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
 </li>
 <li>
 Good knowledge of end-to-end data science implementation including data ingestion, integration
 </li>
 <li>
 Good knowledge on channel performance, marketing strategies &amp; Optimize customer acquisition efforts
 </li>
 </ul>
 
 
 
 
 GOOD TO HAVE SKILL:
 
 <ul>
 <li>
 Masters degree in a quantitative discipline.
 </li>
 <li>
 MLOps/ DevOps
 </li>
 <li>
 BI tools like Power BI
 </li>
 </ul>
 
 
 
 
 ROLES AND RESPONSIBILITIES:
 
 <ul>
 <li>
 Ability to tailor communications to a variety of internal and external audiences.
 </li>
 <li>
 Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
 </li>
 <li>
 Effective written and verbal communication and interpersonal skills.
 </li>
 <li>
 Ability to engage with senior C-level business leaders.
 </li>
 <li>
 Calm under pressure, ability to juggle multiple priorities and ambiguity.
 </li>
 <li>
 Strategic mindset, strong project management skills, keen business acumen and the ability to thrive in a rapid paced environment on multiple projects with many stakeholders
 </li>
 <li>
 Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
 </li>
 <li>
 Use Data Science and Advanced Analytics (Cluster analysis, Segmentation, Text mining, Regression Modeling, Logistic Regressions) to help generate actionable insights and recommendations and inform decision making on Cloud Marketing performance.
 </li>
 <li>
 Serve as a SME and Design insightful tests (test length, KPIs, AB test vs. MVT etc., Statistical Test to use.) that adhere to testing best practices.
 </li>
 <li>
 Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
 </li>
 <li>
 Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans
 </li>
 </ul>
 
 
</div>

Data Scientist

NStarX

<div>
 As a Data Scientist at NStarX, you will play a key role in analysing large datasets, developing predictive models, and providing actionable insights that drive business decisions. You will collaborate with cross-functional teams to identify trends, build data-driven strategies, and contribute to the continuous improvement of our data processes.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, process, and analyse large datasets to identify trends, patterns, and insights that inform business strategies.
 </li>
 <li>
 Develop and deploy predictive models using statistical, machine learning, and deep learning techniques.
 </li>
 <li>
 Work closely with stakeholders to understand their data needs and translate business requirements into analytical solutions.
 </li>
 <li>
 Build and maintain data pipelines to ensure data quality and accessibility for analysis.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to uncover key insights and guide decision-making.
 </li>
 <li>
 Present findings and recommendations to both technical and non-technical audiences through reports, dashboards, and presentations.
 </li>
 <li>
 Collaborate with data engineers and software developers to integrate analytical solutions into production systems.
 </li>
 <li>
 Stay current with the latest developments in data science and machine learning and apply new techniques as appropriate.
 </li>
 <li>
 Contribute to the development and implementation of best practices for data analysis, modelling, and reporting.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
 </li>
 <li>
 At least 3 years of professional experience in data science or a related role.
 </li>
 <li>
 Proficiency in programming languages such as Python or R.
 </li>
 <li>
 Strong knowledge of statistical analysis, machine learning algorithms, and data visualisation tools.
 </li>
 <li>
 Experience with data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn.
 </li>
 <li>
 Familiarity with data visualisation tools such as Tableau, Power BI, or Matplotlib.
 </li>
 <li>
 Experience with SQL and NoSQL databases for data extraction and manipulation.
 </li>
 <li>
 Understanding of cloud platforms like AWS, Azure, or Google Cloud is a plus.
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently and in a team.
 </li>
 <li>
 Excellent communication skills, with the ability to convey complex technical concepts to a non-technical audience.
 </li>
 <li>
 Detail-oriented with a focus on delivering high-quality, accurate work.
 </li>
 <li>
 Experience with big data technologies such as Hadoop, Spark, or Kafka.
 </li>
 <li>
 Knowledge of deep learning frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Experience with A/B testing and experimental design.
 </li>
 <li>
 Familiarity with version control systems such as Git.
 
 
 </li>
 </ul>
 This job was posted by Younus Shaik from NStarX.
</div>

Amgen

<div>
 
 HOW MIGHT YOU DEFY IMAGINATION?
 
 
 
 If you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. At Amgen, our shared mission&mdash;to serve patients&mdash;drives all that we do. It is key to our becoming one of the world&rsquo;s leading biotechnology companies. We are global collaborators who achieve together&mdash;researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It&rsquo;s time for a career you can be proud of.
 
 
 
 Live | What you will do
 
 
 
 <ul>
 <li>
 Support the execution of analytics and modeling projects across therapeutic area (TA) delivery and/or investment analytics teams.
 </li>
 <li>
 Assist in data preparation, exploratory analysis, metric tracking, and performance reporting with high accuracy.
 </li>
 <li>
 Help maintain and operationalize dashboards or reusable code assets in Databricks or Python/SQL environments.
 </li>
 <li>
 Contribute to project delivery by partnering with senior data scientists and leads on model building, testing, and result summaries.
 </li>
 <li>
 Support documentation, version control, and deployment practices using standardized platforms and tools.
 </li>
 <li>
 Stay curious &mdash; continuously learn about methods such as marketing mix modeling, predictive modeling, A/B testing, and causal inference.
 
 
 </li>
 </ul>
 
 Thrive | What you can expect
 
 
 
 As we work to develop treatments that take care of others, we also work to care for our teammates&rsquo; professional and personal growth and well-being.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Data Science, Engineering, Statistics, or a related quantitative field.
 </li>
 <li>
 3&ndash;5 years of experience in analytics, modeling, or data science delivery.
 </li>
 <li>
 Working knowledge of Python and SQL; comfort working in Databricks or similar environments.
 </li>
 <li>
 Experience with data visualization and performance metric tracking.
 </li>
 <li>
 Strong attention to detail and a focus on delivering high-quality, reproducible work.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Exposure to marketing mix modeling, predictive modeling, or experiment-based analytics.
 </li>
 <li>
 Interest in life sciences, healthcare, or pharma analytics environments.
 </li>
 <li>
 Familiarity with tools such as MLflow, Git, or Jupyter notebooks.
 </li>
 <li>
 Demonstrated ability to collaborate with analysts, engineers, or business partners to get things done.
 </li>
 </ul>
</div>

Data Scientist (Commercial)

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

YASH Technologies

<div>
 
 
 Job Overview:
 
 
 
 
 Locations- Indore/Pune/Hyderabad/Bangalore
 
 
 
 
 
 
 We are looking for a
 
 AI/ML Developer
 
 to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing
 
 machine learning and generative AI models
 
 to solve real-world challenges.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Develop and optimize
 
 ML, NLP, Deep Learning, and Generative AI
 
 models.
 
 
 &bull; Research and implement
 
 state-of-the-art algorithms
 
 for supervised and unsupervised learning.
 
 
 &bull; Work with
 
 large-scale datasets
 
 in distributed environments.
 
 
 &bull; Understand business processes to select and apply the best ML approaches.
 
 
 &bull; Ensure
 
 scalability and performance
 
 of ML solutions.
 
 
 &bull; Collaborate with cross-functional teams, including product owners, designers, and developers.
 
 
 &bull; Solve complex
 
 data integration
 
 and deployment challenges.
 
 
 &bull; Communicate results effectively using data visualization.
 
 
 &bull; Work in
 
 global teams
 
 across different time zones.
 
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 
 &bull; Strong experience in
 
 Machine Learning, Deep Learning, NLP, and Generative AI
 
 .
 
 
 &bull; Hands-on expertise in frameworks like
 
 TensorFlow, PyTorch, or Hugging Face Transformers
 
 .
 
 
 &bull; Experience with
 
 LLMs (Large Language Models), model fine-tuning, and prompt engineering
 
 .
 
 
 &bull; Proficiency in
 
 Python, R, or Scala
 
 for ML development.
 
 
 &bull; Knowledge of
 
 cloud-based ML platforms
 
 (AWS, Azure, GCP).
 
 
 &bull; Experience with
 
 big data processing
 
 (Spark, Hadoop, or Dask).
 
 
 &bull; Ability to scale ML models from
 
 prototypes to production
 
 .
 
 
 &bull; Strong analytical and problem-solving skills.
 
 
 
 
 
 If you&rsquo;re passionate about pushing the boundaries of
 
 ML and GenAI
 
 , we&rsquo;d love to hear from you!
 
</div>

Lead Data Scientist-Gen AI

Microsoft

<div>
 
 Overview
 
 
 
 We are seeking a passionate and technically skilled Data Scientist II to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
 
 
 As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models.
 </li>
 <li>
 Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
 </li>
 <li>
 Ensure the models built are operable, scalable, extensible and performant.
 </li>
 <li>
 Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
 </li>
 <li>
 Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
 </li>
 <li>
 Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 2+ years of experience in data science, analytics, or applied machine learning.
 </li>
 <li>
 Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with cloud platforms (Azure preferred) and big data technologies.
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and experimentation design.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Science Engineer

Chryselys

<div>
 
 We&rsquo;re Hiring: Consultant &ndash; Insights &amp; Analytics at Chryselys
 
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Department:
 
 Insights &amp; Analytics
 
 
 
 Job Type:
 
 Full-time
 
 
 
 Reports To:
 
 Manager
 
 
 
 About Us
 
 
 
 
 Chryselys
 
 is a Pharma Analytics &amp; Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.
 
 
 We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.
 
 
 
 Who We Are
 
 
 
 
 People -
 
 Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.
 
 
 
 Quality -
 
 Our goal is to deliver the value of a big five consulting company without the big five cost.
 
 
 
 Technology
 
 - Our solutions are Business centric built on cloud native technologies.
 
 
 
 Role Overview
 
 
 
 As a Data Scientist Consultant at Chryselys, you will leverage advanced analytics, machine learning, and AI to transform complex datasets into actionable insights that drive strategic decision-making for our clients in the pharmaceutical and healthcare industries. You will work closely with cross-functional teams, including client stakeholders, business consultants, and analytics experts, to develop predictive models, optimize operations, and deliver innovative solutions that address critical business challenges.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and implement machine learning models and algorithms to analyze pharmaceutical datasets (e.g., IQVIA, Symphony, Veeva, Open data) and provide actionable insights.
 </li>
 <li>
 Utilize advanced statistical techniques and data science methodologies to drive insights from complex data sources.
 </li>
 <li>
 Build and maintain data pipelines and scalable machine learning models on Data Lake architecture, leveraging cloud-based platforms such as AWS (Redshift, S3, SageMaker, etc.).
 </li>
 <li>
 Collaborate with cross-functional teams to translate business problems into data science solutions.
 </li>
 <li>
 Create and present data visualizations, dashboards, and reports using tools like PowerBI, Tableau, Qlik, QuickSight, and ThoughtSpot to communicate findings and recommendations to clients.
 </li>
 <li>
 Conduct exploratory data analysis, data profiling, and feature engineering to prepare datasets for predictive modelling.
 </li>
 <li>
 Evaluate model performance, optimize algorithms, and ensure robustness and accuracy in predictions.
 </li>
 <li>
 Stay current with the latest advancements in data science, machine learning, and AI, and apply them to ongoing projects.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 Education: Bachelor's or master's degree in data science, statistics, computer science, engineering, or a related quantitative field with a strong academic record.
 </li>
 <li>
 Experience: 5 years of experience in data science, particularly in the pharmaceutical or healthcare industry, working with key datasets like Sales, Claims, and Payer data.
 </li>
 <li>
 Skills:
 </li>
 <li>
 Proficiency in programming languages such as Python and R, with a deep understanding of libraries like TensorFlow, Scikit-learn, and Pandas.
 </li>
 <li>
 Strong experience with SQL and cloud-based data processing environments such as AWS (Redshift, Athena, S3), and experience with Jupyter Notebooks/SageMaker.
 </li>
 <li>
 Demonstrated ability to build data visualizations and communicate insights through tools like PowerBI, Tableau, Qlik, QuickSight, or similar.
 </li>
 <li>
 Strong analytical skills, with experience in hypothesis testing, A/B testing, and statistical analysis.
 </li>
 <li>
 Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical stakeholders.
 </li>
 <li>
 A strong problem-solving mindset, with the ability to adapt and innovate in a dynamic consulting environment.
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Ready to make an impact? Apply now by clicking [here] or visit our careers page at https://chryselys.com/chryselys-career/
 
 
 Please include your resume and a cover letter detailing why you&rsquo;re the perfect fit for this role.
 
 
 
 Equal Employment Opportunity
 
 
 
 Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 
 
 
 Connect With Us
 
 
 
 Follow us for updates and more opportunities: https://www.linkedin.com/company/chryselys/mycompany/
 
 
 
 Discover more about our team and culture:
 
 www.chryselys.com
</div>

Consultant Insights & Analytics (Data Science)

Explore 178+ Data scientist in Hyderabad India this December. Find roles across top companies and apply now to boost your career.

178 data scientist jobs IN Hyderabad India

Data Scientist

Data Scientist

Data Scientist (Commercial)

Data Scientist - GO/JC/1384/2025

Lead Data Scientist-Gen AI

Data Science Engineer

Consultant Insights & Analytics (Data Science)