• Head of Data Science Jobs in Hyderabad,India - 23853228

  • DBS Bank Ltd
  • Save Job
  • 15 - 18 Years
  • Posted : above 1 month

Job Description:

Overview DBS is the Worlds Best Digital Bank is on a mission to reimagine banking and make it a seamless and invisible part of our everyday lives We put digital priorities at the heart of banking, designing and creating products and services to help our customers Digital innovation pervades every part of the bank, from our consumer banking arm to corporate banking arm With a strong culture of innovation, experimenting with new technology and collaboration with the FinTech community, we aim to simplify banking so we can help others Live More, Bank Less

At DBS, we see ourselves as a 22,000 people start up, leveraging start up thinking while relying on the latest innovation to design and develop technology solutions for our customers and people

Were looking for technologists across varying levels all over the world to be part of a major transformation programme to reimagine banking

Youll be leveraging the latest technology to develop mission critical applications from scratch, using Big Data and other OpenSource technologies, Microservices, cloud technologies, Agile and DevOps

Responsibilities

Attract, develop, and retain a world-class team of data scientists (currently 20, grow to 40-50 in couple of years), including providing deep technical leadership
Identify opportunities and apply Machine Learning to drive the agenda for customer acquisition, customer management and customer servicing in Consumer Banking Group to transform DBS to be most intelligent bank in the world
Lead development, implementation and continuous improvement of models and strategies; Leverage in-house, external and other open source machine learning software/algorithms; Research and apply superior data and methodology for the models
Perform ongoing monitoring of the models; Interact with business leaders to ensure the models are correctly used in the decisions; Present model performance and insights to business leaders
Transform from current SAS based model development to development and deployment using open source ML technology stack using PySpark, Spark MLlib, SciKit, Tensorflow, Pandas, Matplotlib etc Drive transition to cloud native ML technology in AWS, Google Cloud or Azure
Provide expert level support to data scientists and data engineers to deliver high quality machine learning data pipelines, APIs and end to end solutions
Maintain and advance deep technical skills and knowledge, keeping up to date with market trends and competitive insights, and share within the technical community
Develop strong relationships with key business stakeholders and decision makers to influence and adopt ML across various business domains

Candidates Are Required To Have

Masters degree or higher in computer science, applied statistics or equivalent
15 years of industry experience applying Machine Learning and Artificial Intelligence 5 years of industry experience leading a data science team of 20
Machine Learning expert with proven track record of end-to-end experience in model development, testing, implementation and performance tracking; Expertise in statistical modeling methods for supervised and unsupervised learning These methods include (but not limited to) regression analysis, clustering, decision trees, collaborative filtering, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks and deep learning, feature selection, and factorization methods;
Programming skills in Python, Java/Scala, and SQL, and comfort with advanced analytics tools such as R, Spark, and/or Tableau Strong working knowledge of Hadoop, ETL processes and big data distributed computing practices
Experience working with very large structured and unstructured streaming data pipelines Ability to solve complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills
Ability to communicate the results of analyses in a clear and effective manner with business and leadership teams to influence the overall strategy
Hires, trains, retains and challenges a best-in-class data science team Ability to inspire, retain and attract top Data Science talent
Experience leading projects; able to prioritize work in complex fast-changing environments
Ability to set and maintain high standards, highly detailed-oriented and exceptional organizational and follow-through skills
Strong desire to take initiative; thrive on change and comfortable with ambiguity
Ability to collaborate closely with various business stakeholders in formulating and prioritising data science engagements
Exceptional ability to visually present and communicate data, analyses, and findings Comfortable explaining complex ideas to any audience
Ability to travel up to 25 PERCENT of the time

Candidates Should Also Possess The Following Preferred Skills

Expertise in Big Data Engineering including Apache Spark, Apache Kafka, Hadoop, No-SQL databases such as Hbase, Cassandra, OLAP columnar storage systems, Bit Map indexes to handle millions of consumers and thousands of attributes while allowing real-time querying and segmentation
Presence in open source projects or data science competions will be huge plus

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Financial Services/Stockbroking
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 19th Apr 2020

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