Deloitte Hiring Drive 2024 For Analyst- Data Sciences | Location Hyderabad

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Deloitte Hiring Drive 2024: Deloitte Hiring Drive 2024 for its Analyst- Data Sciences. Deloitte Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience. if you are interested, please apply as soon as possible.

Company Name: Deloitte

Role: Analyst- Data Sciences

Location: Hyderabad

Experience: 1 to 3 years

Qualification: Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Deloitte Hiring Drive 2024

Job Description:

  • The Deloitte Technology US is seeking a Data Scientist who will work as part of a cross-functional agile team to launch innovative AI-driven Data and Analytics products.
  • The ideal candidate will utilize their extensive technical knowledge to define the data and AI architecture for our portfolio of products;
  • Articulate a vision and define the correct tooling, technologies, and approach to guide a multi-disciplined engineering team towards execution;
  • Collaborate with team of analytics engineer, Human Centered Design engineer/Designer, web developer and data engineers to design and develop software products that transform global mission


  • Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Strong programming skills: Proficiency in languages like Python or R is essential. Experience with SQL for data retrieval and manipulation.
  • Knowledge of statistical concepts and techniques such as hypothesis testing, regression analysis, time series analysis, and machine learning algorithms.
  • Experience in cleaning, transforming, and preparing data for analysis. Familiarity with techniques like data imputation, outlier detection, and feature engineering.
  • Practical experience with various machine learning algorithms like decision trees, random forests, logistic regression, support vector machines, and neural networks. Knowledge of model evaluation and validation techniques.
  • Experience in analyzing and forecasting time series data, understanding concepts like seasonality, trend, and autocorrelation.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and managing data science projects.
  • Analytical mind with proven ability to dissect problems, devise data science solutions, and drive business outcomes.
  • Excellent verbal and written communication skills, with an ability to convey complex concepts clearly and concisely.
  • Good at engaging Business stakeholders and apt at Business engagement and requirement discovery.
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products.
  • 2+ years of experience working with data architectures, data models, and data security and data governance.
  • 2+ years of experience in developing, implementing and maintaining machine learning and advanced statistical algorithms.
  • 2+ years of experience working with large quantitative and qualitative datasets both hands on and managing teams doing the work.
  • 2+ years of experience using statistical computer languages (R, Python, SLQ, etc.)
  • 2+ years of experience working with data science tools and algorithms, e.g., TensorFlow/Keras, PyTorch, Spacy and NLP/LLMs.
  • 1+ years of experience developing on AWS/GCP/Azure cloud platform.
  • Foundational certification on cloud platform (GCP/AWS/Azure)
  • Basic knowledge of data engineering concepts like data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing.
  • Ability to effectively communicate insights and findings through storytelling techniques, using data visualizations and narratives.


  • Works with stakeholders to identify opportunities for leveraging meaningful data to drive business solutions.
  • Mines and analyzes data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assesses the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develops custom data, ML/DL models and algorithms to apply to data sets.
  • Uses predictive modeling to increase and optimize customer experiences.
  • Coordinates with different functional teams to implement models and monitor outcomes.
  • Develops processes and tools to monitor and analyze model performance and data accuracy.
  • Creates new, experimental frameworks to collect data and build tools to automate data collection.
  • Follow hands-on technical thought leadership to solve large & complex business problems through AI/ML capabilities.
  • Evaluate different technical approaches to solve problems and articulate recommendations on the right methodologies that data scientists and engineers can follow.
  • Develop proofs of concept to verify hypotheses.
  • Interpret the AI/ML models that are being generated and communicate the design and outcomes to technical and non-technical stakeholders.
  • Play a hands-on role in in the agile software development lifecycle by reviewing user stories, grooming backlogs, and participating in system reviews.
  • Understand Deloitte’s strategic and competitive position and deliver products that are recognized as cutting-edge and best in the industry

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