{"id":55,"date":"2026-10-02T07:11:31","date_gmt":"2026-10-02T07:11:31","guid":{"rendered":"https:\/\/cybotrix.com\/jobs\/data-scientist-jobs-in-hyderabad\/"},"modified":"2026-10-04T07:38:58","modified_gmt":"2026-10-04T07:38:58","slug":"data-scientist-jobs-in-hyderabad","status":"publish","type":"page","link":"https:\/\/cybotrix.com\/jobs\/data-scientist-jobs-in-hyderabad.html","title":{"rendered":"Data Scientist Jobs in Hyderabad | Entry to Senior Roles"},"content":{"rendered":"\n

Position:<\/strong> Data Scientist
Location:<\/strong> Hyderabad, Telangana, India
Experience:<\/strong> Entry Level to Senior Level
Job Type:<\/strong> Full-Time \/ Permanent \/ Contract \u2013 Based on Requirement
Department:<\/strong> Data Science \/ Artificial Intelligence \/ Advanced Analytics
Salary:<\/strong> Open for the Right Candidates
Company:<\/strong> Cybotrix Technologies<\/p>\n\n\n\n

Data Scientist Jobs in Hyderabad<\/h2>\n\n\n\n

Cybotrix Technologies is inviting applications for Data Scientist Jobs in Hyderabad<\/strong> from talented professionals who can transform complex data into meaningful insights, predictive models and intelligent business solutions. Opportunities are suitable for candidates ranging from entry-level Data Scientists to experienced professionals capable of handling advanced machine learning and AI projects.<\/p>\n\n\n\n

The ideal candidate should have a strong foundation in Python, SQL, statistics, machine learning and data analysis<\/strong>. Depending on the position, experience with Scikit-learn, TensorFlow, PyTorch, XGBoost, NLP, Generative AI, cloud platforms and big-data technologies<\/strong> may also be required.<\/p>\n\n\n\n

As a Data Scientist, you will collaborate with engineering, analytics, product and business teams to solve real-world problems using data. Therefore, the position requires both technical expertise and the ability to communicate analytical findings clearly.<\/p>\n\n\n\n

Key Responsibilities<\/h2>\n\n\n\n

The responsibilities of a Data Scientist may vary according to experience and project requirements. Typically, selected professionals will:<\/p>\n\n\n\n

    \n
  • Collect, clean and analyse structured and unstructured datasets.<\/li>\n\n\n\n
  • Perform exploratory data analysis to identify meaningful patterns.<\/li>\n\n\n\n
  • Develop statistical and machine learning models.<\/li>\n\n\n\n
  • Build predictive and classification solutions.<\/li>\n\n\n\n
  • Perform feature engineering and feature selection.<\/li>\n\n\n\n
  • Train, validate and evaluate machine learning models.<\/li>\n\n\n\n
  • Write efficient Python and SQL<\/strong> code.<\/li>\n\n\n\n
  • Develop reusable analytical workflows.<\/li>\n\n\n\n
  • Perform statistical testing and experimentation.<\/li>\n\n\n\n
  • Create visualisations to communicate analytical findings.<\/li>\n\n\n\n
  • Evaluate model performance using appropriate metrics.<\/li>\n\n\n\n
  • Collaborate with Data Engineers on data availability and quality.<\/li>\n\n\n\n
  • Work with Software and ML Engineers on production implementation.<\/li>\n\n\n\n
  • Document methodologies, assumptions and model results.<\/li>\n\n\n\n
  • Present findings to technical and business stakeholders.<\/li>\n<\/ul>\n\n\n\n

    In addition, senior professionals may be responsible for technical reviews, mentoring, solution design and defining Data Science best practices.<\/p>\n\n\n\n

    Required Technical Skills<\/h2>\n\n\n\n

    Candidates should have hands-on knowledge of several of the following technologies and concepts:<\/p>\n\n\n\n

    Programming:<\/strong> Python, R
    Databases:<\/strong> SQL, PostgreSQL, MySQL, SQL Server or similar platforms
    Data Analysis:<\/strong> Pandas, NumPy, SciPy
    Machine Learning:<\/strong> Scikit-learn, XGBoost, LightGBM
    Deep Learning:<\/strong> TensorFlow, PyTorch, Keras
    Visualisation:<\/strong> Matplotlib, Power BI, Tableau
    Statistics:<\/strong> Probability, regression, hypothesis testing and experimental design
    Big Data:<\/strong> Spark, PySpark
    Cloud:<\/strong> AWS, Microsoft Azure, Google Cloud Platform
    Development:<\/strong> Git, APIs, notebooks and version control<\/p>\n\n\n\n

    However, candidates are not expected to have expertise in every technology. The required stack will depend on the specific project and seniority of the position.<\/p>\n\n\n\n

    Machine Learning Experience<\/h2>\n\n\n\n

    A strong understanding of machine learning concepts is important for Data Scientist roles.<\/p>\n\n\n\n

    Candidates may work with techniques such as Regression, Classification, Clustering, Forecasting, Recommendation Systems, Anomaly Detection<\/strong> and ensemble learning.<\/p>\n\n\n\n

    Beyond building models, professionals should understand how to choose suitable algorithms, prepare training datasets and evaluate results. Moreover, knowledge of overfitting, cross-validation, feature importance and model performance metrics can help candidates handle practical Data Science problems.<\/p>\n\n\n\n

    Python & SQL Skills<\/h2>\n\n\n\n

    Python is commonly used throughout the Data Science lifecycle. Candidates should be comfortable using it for data preparation, analysis, modelling and automation.<\/p>\n\n\n\n

    Relevant Python libraries may include Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, XGBoost<\/strong> and visualization libraries.<\/p>\n\n\n\n

    Similarly, SQL is important for accessing and analysing information stored in databases. Useful capabilities include joins, CTEs, subqueries, aggregations, window functions<\/strong> and query optimisation.<\/p>\n\n\n\n

    Strong Python and SQL skills together provide a solid technical foundation for Data Science projects.<\/p>\n\n\n\n

    Statistics & Analytical Skills<\/h2>\n\n\n\n

    Successful Data Scientists need more than programming knowledge. Statistical reasoning is essential for interpreting data correctly and evaluating whether findings are meaningful.<\/p>\n\n\n\n

    Candidates should understand concepts such as Probability, Statistical Distributions, Regression, Hypothesis Testing, Confidence Intervals, A\/B Testing, Correlation<\/strong> and experimental design.<\/p>\n\n\n\n

    Furthermore, professionals should be able to explain analytical findings in clear business terms rather than presenting technical results without context.<\/p>\n\n\n\n

    AI, NLP & Generative AI Skills<\/h2>\n\n\n\n

    Some Data Scientist opportunities may involve artificial intelligence and Natural Language Processing.<\/p>\n\n\n\n

    Relevant areas can include NLP, Transformers, Text Classification, Sentiment Analysis, Named Entity Recognition, Embeddings<\/strong> and semantic search.<\/p>\n\n\n\n

    Depending on the project, Generative AI experience may also be useful. Relevant knowledge can include Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, Prompt Engineering<\/strong> and model evaluation.<\/p>\n\n\n\n

    At the same time, candidates should understand data privacy, model limitations and responsible use of AI.<\/p>\n\n\n\n

    Data Visualisation & Business Insights<\/h2>\n\n\n\n

    Data Scientists should be capable of communicating complex analytical results clearly.<\/p>\n\n\n\n

    Depending on the project, professionals may use Power BI, Tableau, Matplotlib<\/strong> or other visualization technologies to present findings.<\/p>\n\n\n\n

    More importantly, visualisations should help stakeholders understand trends, risks and opportunities. Therefore, strong communication and business interpretation skills are valuable alongside technical expertise.<\/p>\n\n\n\n

    Entry-Level Data Scientist Jobs in Hyderabad<\/h2>\n\n\n\n

    Fresh graduates and early-career professionals can explore opportunities such as Junior Data Scientist, Data Science Trainee, Data Science Associate<\/strong> and entry-level Machine Learning roles.<\/p>\n\n\n\n

    A strong entry-level profile should include knowledge of:<\/p>\n\n\n\n

    Python, SQL, Statistics, Data Analysis, Machine Learning Fundamentals<\/strong> and Data Visualization.<\/p>\n\n\n\n

    Candidates with qualifications in Computer Science, Information Technology, Data Science, Artificial Intelligence, Mathematics, Statistics, Engineering<\/strong> or related disciplines may be suitable depending on the employer’s requirements.<\/p>\n\n\n\n

    In addition, internships and practical projects can strengthen a fresher profile. Candidates should be prepared to explain the business problem, dataset, methodology and results of their projects during interviews.<\/p>\n\n\n\n

    Mid-Level Data Scientist Jobs<\/h2>\n\n\n\n

    Professionals with relevant Data Science experience may be expected to independently handle analytical and machine learning projects.<\/p>\n\n\n\n

    Typical responsibilities can include developing predictive models, performing feature engineering, designing experiments and evaluating model performance.<\/p>\n\n\n\n

    Furthermore, mid-level professionals may work directly with business and product stakeholders to convert requirements into analytical solutions.<\/p>\n\n\n\n

    Suitable roles may include Data Scientist, Machine Learning Data Scientist, Product Data Scientist, NLP Data Scientist<\/strong> and Applied Data Scientist.<\/p>\n\n\n\n

    Senior Data Scientist Jobs in Hyderabad<\/h2>\n\n\n\n

    Senior Data Scientists may take ownership of complex modelling initiatives and provide technical guidance to Data Science teams.<\/p>\n\n\n\n

    Responsibilities may include:<\/p>\n\n\n\n

      \n
    • Lead end-to-end Data Science projects.<\/li>\n\n\n\n
    • Design advanced machine learning solutions.<\/li>\n\n\n\n
    • Review statistical methodologies.<\/li>\n\n\n\n
    • Establish model evaluation approaches.<\/li>\n\n\n\n
    • Mentor junior Data Scientists.<\/li>\n\n\n\n
    • Work with engineering teams on production implementation.<\/li>\n\n\n\n
    • Improve modelling standards and workflows.<\/li>\n\n\n\n
    • Communicate findings to senior stakeholders.<\/li>\n\n\n\n
    • Evaluate new AI and Data Science technologies.<\/li>\n\n\n\n
    • Contribute to technical and analytical strategy.<\/li>\n<\/ul>\n\n\n\n

      As professionals gain experience, career opportunities may include Senior Data Scientist, Lead Data Scientist, Principal Data Scientist, AI\/ML Lead<\/strong> and Data Science Manager.<\/p>\n\n\n\n

      Preferred Qualifications<\/h2>\n\n\n\n

      Depending on the vacancy, employers may consider candidates with:<\/p>\n\n\n\n

        \n
      • Bachelor’s or Master’s degree in a relevant discipline.<\/li>\n\n\n\n
      • Strong Python and SQL knowledge.<\/li>\n\n\n\n
      • Practical machine learning experience.<\/li>\n\n\n\n
      • Understanding of statistics and probability.<\/li>\n\n\n\n
      • Experience working with real-world datasets.<\/li>\n\n\n\n
      • Knowledge of cloud platforms.<\/li>\n\n\n\n
      • Strong analytical and problem-solving abilities.<\/li>\n\n\n\n
      • Good written and verbal communication.<\/li>\n\n\n\n
      • Ability to work effectively with cross-functional teams.<\/li>\n<\/ul>\n\n\n\n

        Relevant Data Science, AI, cloud or machine learning certifications may provide additional value. However, practical knowledge and demonstrated project experience remain important.<\/p>\n\n\n\n

        Data Scientist Opportunities Across Hyderabad<\/h2>\n\n\n\n

        Data Scientist opportunities may be available across Hyderabad’s major technology and business corridors, including HITEC City, Madhapur, Gachibowli, Kondapur, Financial District<\/strong> and surrounding employment areas.<\/p>\n\n\n\n

        Professionals may find opportunities across IT services, SaaS, fintech, banking, healthcare, consulting, e-commerce, telecommunications, analytics<\/strong> and enterprise technology.<\/p>\n\n\n\n

        Depending on the employer, positions may be office-based, hybrid or remote. Therefore, candidates should review the working arrangement and location requirements mentioned in each vacancy.<\/p>\n\n\n\n

        Career Growth<\/h2>\n\n\n\n

        Data Science provides several technical and leadership career paths.<\/p>\n\n\n\n

        A typical progression may include:<\/p>\n\n\n\n

        Data Science Trainee \u2192 Junior Data Scientist \u2192 Data Scientist \u2192 Senior Data Scientist \u2192 Lead Data Scientist \u2192 Principal Data Scientist<\/strong><\/p>\n\n\n\n

        Alternatively, professionals can specialise in Machine Learning, Generative AI, NLP, Computer Vision, Product Data Science, Forecasting, Decision Science<\/strong> or advanced analytics.<\/p>\n\n\n\n

        Experienced professionals interested in leadership may eventually progress towards Data Science Manager, Head of Data Science<\/strong> or broader AI and data leadership positions.<\/p>\n\n\n\n

        Why Apply Through Cybotrix Technologies?<\/h2>\n\n\n\n

        Cybotrix Technologies connects suitable professionals with opportunities based on their technical skills, experience and career interests.<\/p>\n\n\n\n

        Candidates applying for Data Scientist positions should keep their CV focused on measurable technical experience. In particular, mention relevant Python and SQL skills, machine learning projects, datasets, algorithms, cloud technologies, AI expertise<\/strong> and business outcomes where applicable.<\/p>\n\n\n\n

        Freshers should highlight internships, academic projects and practical portfolios. Meanwhile, experienced candidates should focus on production projects, modelling responsibilities, technical achievements and measurable results.<\/p>\n\n\n\n

        Apply for Data Scientist Jobs in Hyderabad<\/h2>\n\n\n\n

        Looking for Data Scientist Jobs in Hyderabad<\/strong>? Apply with Cybotrix Technologies to explore suitable opportunities aligned with your skills and professional experience.<\/p>\n\n\n\n

        Submit an updated CV highlighting your experience with Python, SQL, statistics, machine learning, Scikit-learn, TensorFlow, PyTorch, NLP, Generative AI, cloud platforms<\/strong> and relevant Data Science projects.<\/p>\n\n\n\n

        Whether you are entering the field or progressing towards a senior Data Science position, suitable opportunities may range from Junior Data Scientist and Data Scientist to Senior Data Scientist, Lead Data Scientist and specialised AI\/ML roles<\/strong>.<\/p>\n\n\n\n

        <\/p>\n","protected":false},"excerpt":{"rendered":"

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