Sr. Data Scientist

Posted 14 Days Ago
Be an Early Applicant
Chicago, IL, USA
Hybrid
115K-195K Annually
Senior level
Artificial Intelligence • Cloud • Fintech • Information Technology • Analytics • Financial Services • Cybersecurity
Dynamic careers. Brighter futures. Achieve greater.
The Role
Designs and implements machine learning models and data pipelines using Python. Acquires and analyzes data from multiple sources, ensures data quality, tunes algorithms, runs large-scale training/inference on cloud, detects data biases, and presents results to technical and business stakeholders. Provides guidance to teams and leads small projects while advancing data science capabilities.
Summary Generated by Built In

About Northern Trust:

Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.  

Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 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 ensure that train/test splits reflect realistic expectations of real world performance • Run large 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. • 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. • 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 complex problems • Takes a new perspective on existing solutions • Exercises judgment based on the analysis of multiple sources of information • Impacts a range of customer, operational, project or service activities within own team and other related teams • Works within broad 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 in-depth conceptual and practical knowledge in own job discipline and basic knowledge of related job disciplines • Applies best practices and how own area integrates with others • Explains difficult or sensitive information; works to build consensus Experience :• Computer Science degree (undergraduate or graduate level) and strong statistical background. Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as a resource for colleagues with less experience; • May lead small projects with manageable risks and resource requirements

Salary Range:

$114,500 - 194,700 USD

Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.

Working with Us: 

As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.

Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose.

We’d love to learn more about how your interests and experience could be a fit with one of the world’s most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater 

Reasonable accommodation

  

Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at [email protected].

 
We hope you’re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.

Apply today and talk to us about your flexible working requirements and together we can achieve greater.

Skills Required

  • Python
  • NumPy
  • Pandas
  • scikit-learn
  • Linux based operating systems
  • Python IDEs
  • Source control
  • Computer Science degree (undergraduate or graduate) and strong statistical background
  • Keras
  • TensorFlow
  • Azure cloud infrastructure
  • Data Science specific graduate work
  • Finance sector experience or coursework

Northern Trust Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Northern Trust and has not been reviewed or approved by Northern Trust.

  • Retirement Support Retirement offerings are positioned as a standout, with a 401(k) plus an additional employer-funded pension described as a differentiator. This combination is repeatedly framed as a meaningful offset within total rewards, especially for long-term financial security.
  • Leave & Time Off Breadth Time-off benefits are depicted as generous, spanning paid time off, holidays, and dedicated paid volunteer time. The breadth of leave options is highlighted as a consistent strength that supports work-life balance.
  • Healthcare Strength Health coverage is characterized as comprehensive, typically including medical, dental, vision, and mental-health support through an assistance program. The offering is portrayed as robust and family-supportive, with multiple plan options in some descriptions.

Northern Trust Insights

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The Company
HQ: Chicago, IL
24,000 Employees
Year Founded: 1889

What We Do

As a global leader in innovative wealth management, asset servicing and investment solutions, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families and institutions by remaining true to our enduring principles of service, expertise and integrity. A globally recognized Fortune 500 Company in continuous operation since 1889, we’ve built a legacy of empowering clients to reach their goals with confidence. Since our roots as a trust bank, we’ve grown to a global presence with more than 24,000 employees in more than 20 countries and across six core business units: Wealth Management Asset Management Asset Servicing Technology Corporate Functions Enterprise Operations Join a Team That’s Achieving Greater At Northern Trust, we refer to our employees as partners – with good reason. We understand that relationships are the key to our success. Here you’ll join a diverse and inclusive team of innovators with the drive to challenge the way things have always been done. Instead of choosing between a dynamic career and work-life balance, enjoy working with a team that supports your goals in the office and at home. We’ll help you get where you want to go without sacrificing what matters most to you. Delivering value and adhering to our enduring principles What are enduring principles? Since our founding, they have guided our strategy and success. Thanks to the dedication of our partners, Northern Trust continues to thrive by adhering to three enduring principles: service, expertise and integrity . What does this mean? Service Northern Trust has a relentless drive to provide exceptional service to our clients, our partners and our communities. We set new standards and go above and beyond in our commitment to delivering greater results. Expertise Expertise is at the core of who we are. We focus sharply on what we do well. From expanding our capabilities, to hiring talented professionals to developing innovative solutions, our expertise is why we continue to be a trusted advisor for generations of families and institutions. Integrity Operating with uncompromising ethics is central to Northern Trust’s heritage. As a result, our clients, partners and communities know they can rely on us. For more than 130 years, our integrity has been our guide – and that will never change.

Why Work With Us

At Northern Trust, we go further because we go together. We embrace flexibility, encourage balance, and prioritize inclusion at all levels, working together to keep you connected. We are committed to our employees—all 24,000 of them. Whether this is a first step or a bold new leap in your career, we’re here to help you move forward.

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