Data Scientist

3 weeks ago

Ahmedabad, India S&P Global Full time

S&P Global Market Intelligence

**The Role**: Data Scientist

**The Team**:
The Credit Analytics New Product Development team gathers intelligence from across the financial services market, including new technologies, and new approaches to alternative data sources, to help define how they have the potential to impact businesses within the sector. We then define product opportunities and build partnerships with internal teams and third parties to develop new products that deliver new innovations. We succeed through leveraging unique research, big data, and machine learning techniques, and quantifying non-traditional data sources and risk analysis in bespoke models that help businesses manage their approach. This team works toward implementing ideas at the junction of Risk, Fintech and Data Science.

**The Impact**:
We are innovating the way the essential intelligence is being collected and processed to support our clients’ decision making and risk monitoring needs. By leveraging the data science oriented technologies, we are delivering solutions faster and at scale, while maintaining the top notch quality standards.

**What’s in it for you**:
Join a dynamic team that solves diverse problems using, applied machine learning in finance with an end-to-end implementation of the solution: inception, prototyping, development, production, and GTM/selling/positioning. This is a high visibility role, and critical to the execution of our Analytics transformation strategy.

**Responsibilities**:
Leading the design, architecture, ML pipeline development for Universal Coverage.
Design, execute and deploy projects aimed at solving high-impact business problems.
Play a central role in all stages of the data science project life cycle, including:
Identification of suitable data science project opportunities
Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements
Evaluation/interpretation of results and presentation to business leaders
Partnering with software developers to provide specifications for deploying models/algorithms into production systems, when applicable
Perform exploratory data analysis, proof-of-concept modeling, and business cases necessary to generate partner consensus and internal support for your projects
Dedicatedly communicate the vision and status of your data science projects, ensuring that accurate expectations are set and met across all levels of partners
Present to customers projects and validate needs and requirements to feed into the business case
Provide analysis and due diligence expertise with potential strategic partners

**What We’re Looking For**:
5+ years' experience in a quantitative, Data Science or other advanced data & predictive analytics role
Practical experience with data mining, machine learning techniques, natural language processing, and data visualization - with an explicit aspiration to significantly enhance own skillset in those fields

**Experience of working on end-to-end data science pipelines**: problem scoping, data gathering, exploratory data analysis, modelling, insights, visualizations, monitoring and maintenance
Proven track record of strong analytical skills, learning agility, and independent thinking. Ability to make observations, form an option, and articulate to the team
Typically requires a Graduate Degree in Math, Statistics, Engineering, Operational Research, or related field
Strong English-speaking and writing skills required
Hands on experience with implementing statistical models

**Technical/Programming**:
Expert Proficiency in Python or R
Proficiency in, or willingness to learn, the other language - R or Python
Applied Machine Learning models such as decision trees random forest, neural networks... whether in research or at work
Experience in deploying apps in cloud native environment - Docker, Kubernetes, Sagemaker, AWS, Databricks, etc.

**Databases**: SQL and any of SQL Server, Oracle, Snowflake, Postgres
Shown success in using large amounts of data to solve analytical problems
Experience with Natural Language Processing techniques, TensorFlow or PyTorch, SpaCy for entity recognition, ImageMagick, Tesseract, Table Detection techniques
Built apps using Shiny/RStudio Connect and/or Plotly/Dash.
Exposure to technologies such as Hadoop, Spark, no-SQL data stores such as Cassandra
Familiarity with conventional software development languages - Scala, JavaScript, C#, Java, etc. - is a plus
Ability to collaborate effectively with a diverse group of business, operational and technical partners
Ability to communicate complex mathematical models and processes in straightforward, non-technical language

**Presentation skills**: including presenting to senior management, stakeholders, and the executive team

**Nice to have**:
Prior experience from the Economics/Financial industry
Experience in building institutional/B2B financial models in the capital markets, risk management,

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