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🧪Data Scientist

Data Scientist, SW Eng

Northern Trust · Pune, India
// classified as
Data Scientist (Modeling, experiments, research.)
posted
1d ago
location
Pune, India
languages
python
tools
azure
> stack
pythonazurekerasnumpypandas
> description

About Northern Trust


As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions.


Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.


With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.



Major Duties:

• Develop software, typically in Python, to independently acquire data from disparate sources (databases, files, APIs, etc.) and combine them into appropriate training, validation and testing datasets
• Analyze raw datasets using descriptive statistics, working directly with domain experts to understand the meaning of data fields
• Build unit tests, data quality checks and data pipelines to ensure that algorithms use trusted data
• Develop and maintain an understanding of many algorithms across supervised learning, unsupervised learning and time series analysis
• Propose and develop machine learning ensemble methods that exhibit the best out-of-sample characteristics possible given the input dataset
• Utilize expertise in machine learning algorithms to tune algorithms using available hyper-parameters and carefully select feature subsets
• Discover biases or leakage in datasets and help ensure that train/test splits reflect realistic expectations of real-world performance
• Run smaller to medium scale (either in parallel and/or distributed) training and inference jobs on private or public cloud infrastructure
• May present findings to internal and external customers using both data science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope.
• May provide some guidance to other software development teams as Data Science Lab prototypes are engineered for full production environments
• Work across multiple projects in a fluid environment where work is required across the full research lifecycle from forming a hypothesis, acquiring data, and developing ETL-style software to presenting findings.
• Helps plan and execute data science training sessions and hackathons
• Work with external parties (vendors, universities, etc.) to incorporate new techniques and tools into the data science lab
• Solves problems in straightforward situations
• Analyzes possible solutions using technical experience and judgment and precedents
• Impacts quality of own work and the work of others on the team
• Works within guidelines and policies

Knowledge:

• Python, Common Python libraries (numpy ,pandas, sklearn, etc.), Linux based operating systems, and basic development tools (Python IDEs, source control, etc.) required
• Advanced distributed machine learning frameworks (e.g. Keras, TF, etc.), Azure cloud infrastructure preferred
• Requires expanded conceptual knowledge in own job discipline
• Understands key business drivers; uses this understanding to accomplish own work
• Explains complex information to others in straightforward situations

Experience:

6+ years of overall experience

Computer Science degree (undergraduate or graduate level) and strong statistical background.

Data Science specific graduate work, Finance sector experience or coursework preferred
Provides informal guidance to new team members

Job Description:

The Data Scientist performs data science research and helps to develop custom prototypes to problems that

1) are not adequately addressed by commercial solutions,

2) enhance the customer and/or internal partner experience and

3) provide Northern Trust with a competitive advantage. 

This position serves to empower applied data science practitioners by facilitating high-quality data science education and collaboration within Northern Trust. 

Requires working knowledge and experience in own job discipline.

Continues to build knowledge of the company, processes and clients.

Performs a range of assignments related to job discipline.

Uses prescribed guidelines or policies in analyzing situations.

Receives a moderate level of guidance and direction.


Working with Us


As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve.


Philanthropy is deeply rooted in Northern Trust’s history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities.


Reasonable Accommodation


Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com, or alternatively you can discuss your individual requirements with the recruiter you are working with.


About Our Pune Office


The Northern Trust Pune office, established in 2016, is now home to over 3,000 employees. The office handles various functions, including Operations for Asset Servicing and Wealth Management, as well as delivering critical technology solutions that support business operations across the globe.


Our Pune team takes our commitment to service to heart. In 2024, they volunteered more than 10,000+ hours into the communities where they live and work. Learn more.