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Data Scientist _Mumbai

Keywords / Skills : Machine Learning, Deep Learning, Fraud Analyst, financial risk analysis, Tax analysis, risk analysis

5 - 10 years
Posted: 2019-02-28

Job Description

Position: Senior Data Scientist

Education: BTech/MSc. /MCA/MBA/MS/MTech in Statistics or Comp Sc. or Data Analytics

R, Python (Pandas, NumPy, Matplotlib, seaborn, ggplot)

Statistical / Machine Learning techniques

Deep learning framework like Tensorflow, Keras, PyTorch, H20

Tableau/PowerBI, Advanced MS Excel

Job Description:

1. Minimum 3-4 years of experience in data science (both deep learning and machine learning) at least one project in deep learning.

2. The candidate is expected to work with teams and stakeholders, also design and deliver the innovative, state-of-the-art ML/AI solutions/products and platforms in-line with companies go-to-market strategy.

3. Understanding the business processes and ability to work independently and to define end-to-end analytics solution/approaches starting from data capturing, data preparation, data visualization, model building and deployment.

4. Experience in deploying machine learning and deep learning model in production.

5. Excellent understanding and experience in machine learning techniques and algorithms, such as like-Classification, Regression, Ensemble Modelling, SVM, Boosting Machines, Segmentations, Clustering, time series analysis and forecasting, and Data Mining.

6. Expertise in Deep Learning algorithms, architectures, and frameworks is highly desired (Tensorflow, Keras, PyTorch, CNN, RNN, ANN, LSTM)

7. Natural Language processing algorithms for text classification, sentiment analysis, opinion mining, and identifying topic of discussion.

8. Ad hoc analysis of the data and making meaningful insights from data using data visualization tools like Tableau/PowerBI to improve the decision making.

9. Good knowledge of statistical skills, such as distributions, multivariate analysis, statistical testing, regression etc.

10. Candidate should be expert in identifying, analyse, and interpreting trends or patterns from various data types and structures: structured, unstructured, image and video data, static versus streaming data.

11. Exposure or knowledge in cloud (AWS/GCP/Azure) or big data technologies such as Hadoop is a plus.

12. Experience working on Financial risk analysis or fraud analysis or Tax analysis.

About Company

It been recognised as one of the leading global consultancies focused on solving complex business challenges with innovative IT solutions. With a deep understanding of SAP-based systems, advanced analytics and systems integration, IT has built long-term strategic relationships with some of the world’s leading organisations including Universal Music Group, Redington Gulf, News UK and numerous government organisations. Headquartered in the UK, with offices around the world and over a decade of trading history, we have grown to a talented 700 strong workforce.
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