Tech Jobs for Talents without Borders
English-1st. Relocation-friendly. Curated daily by Imagine.
4,675 Jobs at 191 Companies

Portfolio Operations, Blackstone Data Science - Artificial Intelligence Management Program

Blackstone

Blackstone

Software Engineering, Operations, Data Science
New York, NY, USA
Posted on Thursday, October 26, 2023

Blackstone is the world’s largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $1 trillion in assets under management include investment vehicles focused on private equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis. Further information is available at www.blackstone.com. Follow @blackstone on LinkedIn, Twitter, and Instagram.

Business Description:

Blackstone’s Portfolio Operations team partners with companies to create purposeful, valuable, growth-oriented businesses. Blackstone’s portfolio spans 230+ companies with approximately 700k+ employees around the world. This platform provides unique insights, connections, experience, and opportunities across its portfolio companies, creating a powerful flywheel effect. Blackstone backs leading, innovative businesses across sectors and geographies, creating a differentiated, supportive, and valuable ecosystem for leaders across the portfolio. The breadth and quality of the portfolio provides valuable touchpoints, learnings, and business opportunities for its executives as they grow their businesses. Blackstone’s Portfolio Operations group — along with an experienced advisor community — is a team of nimble operating executives with expertise across all aspects of an enterprise. As partners to Blackstone’s portfolio companies, we provide empathy and experience as we help our companies create and accelerate value.

Blackstone Data Science (“BXDS”) is the firm-wide team dedicated to leveraging advanced analytics, statistical methods, and data-driven insights to enhance our investments and business operations. Our mission is to address critical business questions using data analysis, statistics, programming, and machine learning techniques. Integrated into our investment groups, we apply alternative datasets and analytical methods to deepen our understanding of assets and markets while identifying new investment and partnership opportunities.

BXDS is a vital part of the firm's Portfolio Operations Group. In private equity, we collaborate closely with deal teams to quantify potential sources of corporate value through data science. In our portfolio companies, we work with management teams to drive operational efficiencies and create new revenue streams using data-driven strategies. In real estate, we partner with deal teams to evaluate local market attractiveness based on innovative datasets and proprietary geospatial models.

Our team consists of data scientists, engineers, and strategists who analyze complex datasets, develop predictive models, build production-ready data pipelines, and offer guidance on intelligent data utilization. We sit at the intersection of quantitative and investment analysis, focusing exclusively on projects that have a significant impact. BXDS team members have the unique opportunity to collaborate with Blackstone's senior management and executives from our portfolio companies. If you thrive in an intellectually stimulating environment with tangible business results, BXDS may be the right fit for you.

Role Description

BXDS is seeking individuals to join our Artificial Intelligence Management Program. The program commences with several weeks of training at Blackstone's New York City office, providing hands-on experience within BXDS. Following the training period, participants will embark on two years of rotational assignments, stationed at various Blackstone portfolio companies. In these assignments, you will collaborate with company management teams to advance their artificial intelligence capabilities, gaining a competitive edge through AI-driven insights and helping bring this powerful technology to life in their businesses.

The Artificial Intelligence Management Program is meticulously designed to offer accelerated career growth through diverse experiences in multiple industries. Throughout each assignment, participants will reside and work in different geographical regions while honing their skills in developing machine learning practices and interacting with key business leaders and functions. As part of the AI Management Program, you will be instrumental in driving tangible business value and expected to become a leader in promoting best practices around deploying machine learning tools and strategies within your assigned company.

The role will be involved in all aspects of the artificial intelligence lifecycle. You will collaborate closely with company management, as well as professionals in operations and technology. The ideal candidate is passionate about delivering business value from unstructured objectives. Successful candidates will demonstrate intellectual curiosity, strong business skills, ability to effectively learn new concepts, and effective communication skills. This role offers high visibility and the opportunity to drive change using artificial intelligence.

Additional Information:

  • Assignment responsibilities will vary by company, but participants will serve as AI leaders within their respective business units or functional areas.
  • Assignments may be domestic or international depending on business needs and availability.
  • Individual assignments can range from 6 to 18 months, with participants expected to complete two years of rotations in total.
  • To support participants' growth, participants will have mentors, attend annual conferences at the Blackstone office, and engage in networking sessions within the Blackstone network.
  • Post-program career prospects may include roles at portfolio companies, positions within Blackstone, or additional rotations at other portfolio companies.
  • Note that successful candidates are not guaranteed employment for any specific period of time.

Qualifications:

  • 3+ years of work experience in a data-driven professional role with a focus on artificial intelligence.
  • Undergraduate degree required, with a technical post graduate degree preferred.
  • Proficiency in AI (deep learning, generative models, neural networks, etc.)
  • Strong analytical methodology and problem-solving skills with an eagerness to tackle novel technical challenges.
  • Excellent oral and written communication abilities.
  • Adaptability in a dynamic environment with the capacity to manage multiple projects.
  • Self-motivated, capable of working independently, and meeting deadlines with minimal supervision.
  • Meticulous attention to detail.
  • Effective prioritization of tasks and meeting demanding deadlines.
  • Ability to collaborate effectively as part of a team or independently.
  • Proficiency in Microsoft PowerPoint, Excel, and Word.
  • Willingness to relocate as needed based on assignment.


The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.

Expected annual base salary range:

$120,000 - $140,000

Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.

Additional compensation: Base salary does not include other forms of compensation or benefits offered in connection with the advertised role.

Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.

If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).

Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following:

  • Attending client meetings where you are discussing Blackstone products and/or and client questions;

  • Marketing Blackstone funds to new or existing clients;

  • Supervising or training securities licensed employees;

  • Structuring or creating Blackstone funds/products; and

  • Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials.

Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions.

To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered "prefer not to say"). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.