Data Scientist Intern
Location: Hyderabad
Job Purpose –
Assist the Analytics Function Head on Modelling tasks
Work on Abstracts Pre-Processing and advancing it for Modelling
Build Predictive Models & Recommendation Engines application advanced Machine Learning Techniques to aid Business Processes access ability and capability in their outcomes
Job Outline
Assist the Analytics Function Head on Data Scientist Intern:
· Collaborating with Business and IT teams for compassionate and accession data.
· Apply Abstracts Preparation Techniques for ML like Filtering, Abstracts Cleaning, Missing Value imputation, Feature Extraction, Feature Engineering, Feature Selection, Dimensionality Reduction, Feature Scaling, Variable Transformation etc
· Apply ML techniques like Ensemble Modeling algorithms like Bagging (Random Forest), Boosting(GBM, LGBM, XGBoost, CatBoost), and added advanced ML Algorithms Data Scientist Intern.
· Apply Modelling concepts like Hyperparameter Optimization, Feature Selection, Stacking, Blending, K-Fold Cross-Validation, Bias & Variance, Overfitting, etc
· Perform Custom Analytics for accouterment actionable insights to the Business on Ad-Hoc Assignments
Job Interface/Relationships:
Data Scientist Intern Knowledge /Education
BE /B. Tech – Any Stream. IIT/NIT Graduates will be preferred
Data Scientist Intern Skills
· Familiarity with ML techniques as declared in the Job Outline
· Should accept ability in Python & Excel.
· Familiarity with SQL is preferred.
Work Experience
· Can be a fresher or Have 0-1 year of analytic Business Problems through Abstracts Analytics, Abstracts Science, and Modelling. Kaggle acquaintance is preferred.
Other Requirements:
Work Location
The assignment Location is the ISB Hyderabad Office. Remote assignment is not accustomed for this position
Duration
Duration will be for 3 months and can be continued based on the requirements at that stage
Any added added Input –
Will not be advised for selection:
Familiarity with Deep Learning Algorithms for Image Processing & Classification
Apply Link
IT
Non IT
Interview Questions for Data Scientist Intern Position
Technical Questions
Data Pre-Processing
Can you explain the accent of the abstract charwoman in the abstract preprocessing stage?
How would you handle missing ethics in a dataset Data Scientist Intern?
Feature Engineering:
What techniques would you use for affection abstraction and affection selection?
How do you handle absolute variables in your data?
Machine Acquirements Algorithms:
Can you explain the aberration amid Bagging and Boosting?
How do you determine which apparatus acquirement algorithm to use for an accurate problem?
Model Evaluation:
What techniques do you use to appraise the achievement of your apparatus acquirement models?
How do you handle overfitting in your models?
Advanced ML Techniques:
Can you explain the abstraction of hyperparameter access and why it is important?
How do you apparatus K-Fold Cross-Validation, and why is it used?
Practical Questions
Python & Excel:
Can you air us through an activity area in your acclimated Python for abstract analysis?
How accomplished are you with Excel for abstract essay tasks?
SQL
How would you address an SQL concern about acquiring the boilerplate sales per age from a sales table?
Can you explain a bearings area you had to use SQL in an abstract science project?
Predictive Modeling
Describe a predictive archetypal you accept congenital in the past. What was the outcome?
How do you ensure your predictive models are generalizable to new data?
Behavioral Questions
Collaboration
Describe a time back when you had to assign carefully with IT and business teams. How did you administer the collaboration?
How do you handle acknowledgment and appraisal from aggregation associates on your abstract assay work?
Problem-Solving
Give an archetype of an arduous abstract botheration you faced and how you apparent it.
How do you access a new abstract science botheration you have never encountered before?
Adaptability
How do you keep up with the latest developments in apparatus acquirement and abstract science?
Describe a bearings area you had to bound apprentice a new apparatus or address for a project.
General Questions
Education and Background
Why did you accept to pursue a career in abstract science?
How has your apprenticeship able you for a role in Data Scientist Intern?
Experience
Can you altercate any projects you accept formed on Kaggle or Agnate platforms?
How have your antecedent adventures (if any) helped you in compassionate and analytic business problems application abstracts analytics?
Role-Specific
What interests you about this internship position at our company?
How do you see this role allowance you accomplish your career goals in abstracts science?
