18 Mar 2023

Full-Time Data Scientist, Family Engagement – Amaravati

UBS – Posted by JobsTeam Amaravati, Andhra Pradesh, India

Job Description

Data Scientists help us innovate using data. You should be interested by design, think of yourself as a data artist and storyteller, and have an ownership, solution, and action attitude.

Job Title : Data Scientist, Family Engagement
Location : Amaravati, Andhra Pradesh, India
Salary : $ 45.64 per hour.
Company : UBS
Job Type : Full-Time


  • Interpret and summarize model findings. Helps with business reporting. What-if scenarios Unacceptable procedures and exceptions are revealed. Based on trend estimates, accurately forecasts future difficulties. Analyzes finance and stats.
  • Manage your own process by identifying and executing on high-impact initiatives, triaging external requests, and ensuring that projects are completed in time for the findings to be valuable.
  • Closely collaborate with the development team to suggest data-driven solutions. Applying statistical and machine learning techniques to particular business challenges and data, Collaborate in a dynamic entrepreneurial company with numerous teams and clients in a fast-paced environment.
  • With your knowledge of product and technology operations, you’ll also be able to contribute to the development of new product growth possibilities and momentum. SQL, R, Python and Tableau are excellent analytical tools, but they need to be used in conjunction with critical thinking abilities.
  • Utilize SQL, programming languages like R or Python, and internal dashboards to dig into your data and find patterns.. Provide unambiguous suggestions based on historical customer behavior and sales information.
  • Proficient in the use of big data sets to discover possibilities for product and process improvement and models to assess the efficacy of multiple courses of action, along with a demonstrated ability to generate business outcomes using database insights.
  • Identifies and takes action on possibilities for continual development. Risk-taking, alternative techniques, and organizational learning are all encouraged by this policy. Demonstrates a personal commitment to change by doing and talking about it. In times of stress and uncertainty, you may help people embrace change by offering support and guidance.
  • Excellent at keeping track of time and working on their own. Prioritizes daily tasks and processes and can do more than one thing at a time. Finishes departmental and personal goals on time and with great results.
  • Using both supervised and unsupervised machine learning techniques, find and make use of the data’s underlying structure and relationships.
  • Uses current information to increase performance. Best practice data is gathered and evaluated. Find more about business and process development concerns.


  • The ability to convince others involves diplomacy and trust. To be successful in this capacity, you must work effectively with both internal and external stakeholders. To execute one’s work properly, one must continually communicate with other departments and divisions to discuss difficulties, provide information, and discover solutions.
  • Information retrieval, machine understanding, answering questions/conversational AI, reinforcement learning, knowledge graphs, causal inference, and experiment design are all areas in which artificial intelligence is making significant strides.
  • Utilizing statistical programming languages to do analysis on huge datasets (Python, R, etc.) A working knowledge of D3.js, matplotlib, and other similar programs is preferred. It is a wise decision to implement several machine learning strategies, such as Random Forest, SVM, k-NN, Nave Bayes, and Gradient Boosting.
  • Doctor of Philosophy in Computer Science with significant Virtual Assistant/Natural Language Processing research publications OR Master’s degree in Computer Science, Statistics, Data Science, or a related technical field with five years of relevant job experience.
  • Master’s degree in statistics, computer science, math, or another quantitative field is required, as well as two to three years of experience in a similar role. Experience using predictive modeling, big data analytics, exploratory data analysis, and machine learning to make a big difference in business.

How to Apply

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Job Categories: Data Scientist. Job Types: Full-Time.

Job expires in 21 days.

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