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analytical data scientist

Tata Consultancy Services

<div>
 
 Data Scientist
 
 
 Python, SQL, ETL processes, Data Engineering Machine Learning, Power BI
 
 
 
 
 
 
 
 
 
 Please read Job description before Applying
 
 
 
 
 
 
 NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:
 
 
 Name:
 
 
 Contact Number:
 
 
 Email ID:
 
 
 Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)
 
 
 Current Organization Name:
 
 
 
 Total IT Experience :6-8
 
 Years
 
 
 Location : Mumbai or Ahmedabad or Hyderabad
 
 
 Current CTC
 
 
 Expected CTC
 
 
 Notice period: Immediate
 
 
 Whether worked with TCS - Y/N
 
 
 
 
 <ul>
 <li>
 
 Data Science Tools:
 
 Proficiency in Python, SQL and relevant libraries (e.g., pandas).
 </li>
 <li>
 
 Data Engineering:
 
 Experience with ETL processes and working with large datasets.
 </li>
 <li>
 
 Machine Learning:
 
 Hands-on experience with supervised and unsupervised learning techniques.
 </li>
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 Visualization:
 
 Proficiency in tools like Power BI
 </li>
 <li>
 
 Problem Solving:
 
 Strong analytical and critical thinking skills.
 </li>
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 Communication:
 
 Ability to translate complex data insights into business-friendly language.
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 Experience with big data technologies (e.g., Spark, Hadoop).
 </li>
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 Knowledge of telecom billing systems and CDR (Call Detail Records).
 </li>
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 Understanding of regulatory compliance and data privacy in telecom.
 </li>
 </ul>
 
 
</div>

Data Scientist

Kresta Softech Private Limited

<div>
 
 
 Role Highlights:
 
 
 
 
 
 
 
 Position: Data Scientist
 
 
 
 
 Experience:
 
 5+ years
 
 
 
 Location:
 
 Hyderabad- Hybrid
 
 
 
 Notice Period:
 
 Immediate/7 days joiners mandate
 
 
 
 
 
 
 Job Overview:
 
 
 
 
 
 
 
 Must have skills- Python, Generative AI, RAG, LLM
 
 
 
 Good to have- Agentic AI and ML Ops
 
 
 
 
 
 Must have:
 
 
 
 IIT, IIM Qualification.
 
 
</div>

<div>
 
 Dear Candidates,
 
 
 Greeting from TCS!!!
 
 
 TCS is looking for Data Scientist
 
 
 Experience: 6-10 years
 
 
 Location: Hyderabad / Chennai
 
 
 
 
 
 MUST HAVE SKILLS:
 
 <ul>
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 Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time &amp; remediation
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 Python, R etc.
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 Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
 </li>
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 Good knowledge of end-to-end data science implementation including data ingestion, integration
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 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:
 
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 Ability to tailor communications to a variety of internal and external audiences.
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 Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
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 Effective written and verbal communication and interpersonal skills.
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 Ability to engage with senior C-level business leaders.
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 Calm under pressure, ability to juggle multiple priorities and ambiguity.
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 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
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 Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
 </li>
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 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>
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 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.
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 Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
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 Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans
 </li>
 </ul>
 
 
</div>

PepsiCo

<div>
 
 Overview
 
 
 
 
 We are PepsiCo
 
 
 
 PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.
 
 
 We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this
 
 Winning with Pep+ Positive
 
 . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com.
 
 
 
 PepsiCo Data Analytics &amp; AI Overview:
 
 
 
 With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&amp;AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo&rsquo;s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
 
 
 The Data Science Pillar in DA&amp;AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&amp;AI Products. And will support &ldquo;pre-engagement&rdquo; activities as requested and validated by the prioritization framework of DA&amp;AI.
 
 
 
 Data Scientist-Gurugram and Hyderabad
 
 
 
 The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Machine Learning Services and Pipelines.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
 </li>
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 Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
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 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
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 Use big data technologies to help process data and build scaled data pipelines (batch to real time)
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 Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines.
 </li>
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 Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
 </li>
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 Automate ML models deployments
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Minimum 3years of hands-on work experience in data science / Machine learning
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 Minimum 3year of SQL experience
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 Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers.
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 BE/BS in Computer Science, Math, Physics, or other technical fields.
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 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models
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 Programming Skills - Hands-on experience in statistical programming languages like Python and database query languages like SQL
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 Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
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 Any Cloud - Experience in Databricks and ADF is desirable
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 Familiarity with Spark, Hive, Pig is an added advantage
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 Model deployment experience will be a plus
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 Experience with version control systems like GitHub and CI/CD tools
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 Experience in Exploratory data Analysis
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 Knowledge of ML Ops / DevOps and deploying ML models is required
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 Experience using MLFlow, Kubeflow etc. will be preferred
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 Experience executing and contributing to ML OPS automation infrastructure is good to have
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 Exceptional analytical and problem-solving skills
 </li>
 </ul>
</div>

Amgen

<div>
 
 Join Amgen&rsquo;s Mission of Serving Patients
 
 
 
 At Amgen, if you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. Our shared mission&mdash;to serve patients living with serious illnesses&mdash;drives all that we do.
 
 
 Since 1980, we&rsquo;ve helped pioneer the world of biotech in our fight against the world&rsquo;s toughest diseases. With our focus on four therapeutic areas &ndash;Oncology, Inflammation, General Medicine, and Rare Disease&ndash; we reach millions of patients each year. As a member of the Amgen team, you&rsquo;ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
 
 
 Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you&rsquo;ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
 
 
 
 What You Will Do
 
 
 
 Let&rsquo;s do this! Let&rsquo;s change the world!
 
 
 Amgen is seeking a highly motivated Senior Principal Scientist for their Discovery Analytical Chemistry group in their state-of-the-art research and development facility in Genome Valley, India.
 
 
 The Principal Scientist will lead analytical strategy and execution for drug discovery-stage projects, enabling medicinal chemistry and early candidate selection through deep expertise in analytical and separation sciences. This role bridges synthetic and analytical chemistry, ensuring rapid, reliable characterization of novel compounds and intermediates that drive Amgen&rsquo;s small molecule discovery pipeline.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 The successful candidate will lead and manage the Synthetic Separations group, providing strategic direction, technical leadership, and mentorship to staff while prioritizing workloads, optimizing team performance, and serving as both a people manager and subject matter expert in synthetic separations
 </li>
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 Design and qualify automated workflows enabling rapid turnaround and consistent data quality for purification and analysis of diverse compound libraries.
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 Utilization of a diverse set of instruments and technologies, such as (but not limited to) HPLC, SFC, MS, mass-directed purification, and preparative-scale SFC and LC is necessary.
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 Lead library purification efforts across multiple scales, ranging from microgram-level purification of screening compounds to hundreds of milligrams for advanced characterization.
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 The successful candidate is also expected to assist in research efforts directed at improving process efficiencies, expanding the range of assays and applications, building state-of-the-art analytical capabilities, and improving technologies and infrastructure.
 
 
 </li>
 </ul>
 
 What We Expect Of You
 
 
 
 We are all different, yet we all use our unique contributions to serve patients. The analytical professional we seek is an emerging Scientist with these qualifications.
 
 
 
 Basic Requirements:
 
 
 
 Ph.D. in Chemistry, Analytical Chemistry, or related field with 8+ years of relevant experience, or M.S. with 12+ years of relevant experience in analytical or discovery chemistry within the biopharmaceutical industry.
 
 
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 PhD in Analytical Chemistry or a related discipline with 8+ years of relevant industry experience in chromatographic analysis and/or purification of small molecules within a pharmaceutical R&amp;D environment.
 </li>
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 Minimum of 5 years in a leadership or people management role.
 </li>
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 Develop, optimize, and implement analytical methods (LC, LC/MS, GC, SFC, NMR, HRMS, and related techniques) for purity assessment, structural confirmation, quantitative analysis, and reaction monitoring of synthetic compounds.
 </li>
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 Develop, optimize, and implement analytical methods (LC, LC/MS, GC, SFC, NMR, etc.) for purity assessment, structural confirmation, and reaction monitoring of synthetic compounds.
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 Design, qualify, and maintain high-throughput or automated analytical workflows to support medicinal chemistry cycles.
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 Collaborate with cross-functionally digital and automation groups to enable data-driven analytics and AI-supported structure prediction.
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 Drive continuous improvement in analytical workflows and laboratory efficiency through process automation and robotics.
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 <li>
 Excellent written and verbal communication skills
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 Prepare concise, high-quality reports and presentations for internal review and external disclosure.
 </li>
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 Represent Amgen in scientific collaborations, conferences, and publications related to analytical innovations in drug discovery.
 </li>
 <li>
 Proficiency in managing multiple priorities and driving results in a dynamic research environment.
 </li>
 </ul>
</div>

Principal Scientist – Synthetic Separations

SWITS DIGITAL Private Limited

<div>
 
 Job Title: Junior Data Scientist
 
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Experience:
 
 8+ Years
 
 
 
 Position Overview
 
 
 
 We are seeking a highly experienced
 
 Senior Data Scientist
 
 with a strong academic background and extensive hands-on experience in Data Science and Machine Learning projects. The ideal candidate will be proficient in building predictive models, advanced analytics, and deploying ML/AI solutions to solve complex business challenges.
 
 
 
 Roles And Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large and complex datasets to extract actionable insights and trends.
 </li>
 <li>
 Develop, implement, and optimize ML/AI models for predictive and prescriptive analytics.
 </li>
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 Collaborate with engineering, product, and business stakeholders to deliver data-driven solutions.
 </li>
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 Design, build, and maintain scalable data pipelines using Python, R, SQL, or related tools.
 </li>
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 Communicate insights through compelling visualizations and data storytelling.
 </li>
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 Evaluate, test, and improve model performance, accuracy, and efficiency.
 </li>
 <li>
 Work with cloud platforms (AWS, Azure, GCP) to deploy ML/AI models into production environments.
 </li>
 <li>
 Ensure best practices in data quality, governance, and compliance standards.
 
 
 </li>
 </ul>
 
 Must-Have Skills
 
 
 
 <ul>
 <li>
 8+ years of experience in Data Science, Machine Learning, or AI-driven projects.
 </li>
 <li>
 Strong proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or R.
 </li>
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 Deep understanding of ML algorithms, statistical modeling, and data mining techniques.
 </li>
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 Expertise in data visualization tools: Power BI, Tableau, Matplotlib, or Seaborn.
 </li>
 <li>
 Strong SQL skills and experience with data pipelines (Airflow, Spark, etc.).
 </li>
 <li>
 Hands-on experience with cloud ML platforms: AWS SageMaker, Azure ML, or Google AI Platform.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 Good to Have
 
 
 
 <ul>
 <li>
 Experience with Deep Learning, NLP, or Time Series Analysis.
 </li>
 <li>
 Exposure to MLOps and CI/CD pipelines for model deployment.
 </li>
 <li>
 Relevant certifications or a strong portfolio in ML/Data Science.
 </li>
 <li>
 Experience in prompt engineering, RAG/context engineering, and Agentic AI systems.
 
 
 </li>
 </ul>
 
 Qualification
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s, Master&rsquo;s, or PhD in Data Science, Computer Science, Statistics, or related discipline
 </li>
 </ul>
</div>

Junior Data Scientist

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

Explore 167+ Analytical data scientist in Hyderabad this December. Find roles across top companies and apply now to boost your career.

167 analytical data scientist jobs IN Hyderabad

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Principal Scientist – Synthetic Separations

Junior Data Scientist

Data Scientist - GO/JC/1384/2025