Technology

The Data Science Conference 2026

T

he Data Science Conference is a beacon for professionals seeking a genuine, sales-free environment to exchange knowledge and insights. Celebrating its 10th anniversary, this event is a testament to its enduring appeal and commitment to the core values of transparency and community. With no vendors, sponsors, or recruiters, the focus is solely on data scienc…

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17Voices
0Underwriters
0Exhibitors
19On the bill · sessions
13Companies · in total
§I

The Voices

Programmed at The, in alphabetical order.
Ahsaas Bajaj
Machine Learning Tech Lead · Instacart
Danaïl Davidov
Senior Actuary · Desjardins
Dmitrii Timoshenko
Applied Scientist · Amazon (AWS)
Holly Baker
Policing Lab
Jean Ortega
Software Engineer · Google
Lan Nguyen
Digital Marketing Manager · LinkedIn
Mariusz Gąsiewski
CEE Mobile Gaming and Apps Lead · Google
Michael Tsiappoutas
Conference Chair
Milda  Aksamitauskas
Chief Administrative Officer · University of Wisconsin–Madison
Muhammed Yunas Chirayath
Principal Data Engineer · Discover Finanvial Services
Niruta Talwekar
Data Engineer · Meta
Paul Debjyoti
Data Scientist · Amazon
Prerana Jakhotia
Lead AI Product Manager · Blue Cross Blue Shield
Robert L. Grossman
Partner, Analytic Strategy Partners and Director, Center for Translational Data Science · University of Chicago
Shivendra Srivastava
Software Development Manager · Amazon
Tabish Azeem
Team Manager, Business Intelligence · Box
Tejas Pravinbhai Patel
Software Development Engineer · Amazon
§III

The Programme

Selected from 19 sessions on the bill.
  • 10:30-11:00 AM

    Transforming Customer Journey Data into Actionable Insights

  • 10:30-11:00 AM

    When Good Data Gets Bad: A Data Science Lens

  • 11:00-11:30 AM

    From Models to Outcomes: What It Really Takes to Run Production ML at Scale

  • 11:00-11:30 AM

    In the age of AI, what does it actually mean to be a data expert or a specialist?

  • 11:30-12:00 AM

    Small Country, Big Ambitions: How Lithuania Inventoried and Integrated Public Sector Data

  • 11:30-12:00 PM

    Generative AI in Public Safety: Data Science Innovations and Lessons Learned

  • 1:30-2:30 PM

    DISCUSSION PANEL

    Panelists discuss and answer questions.

  • 2:30-3:00 PM

    Behavioral Economics – Expecting the Unexpected

  • 2:30-3:00 PM

    Data Reliability Engineering: Applying SRE Principles to Data Science Platforms

Intermission
Part the Second · For the Buyer

An audience of 13 companies, parsed from the program.

Thirteen companies in attendance.

The numbers below are derived from the speakers, sponsors, and exhibitors on this page — cross-referenced into one ledger. They are the only thing here that 10times.com cannot tell you.

01Fig. 01 — Composition of the House
0All threespeak · spons · exh
0Sponsoringsponsor only
0Exhibitingexhibitor only
13Companies Speakingspeaker only
02Fig. 02 — The Voices, by Seniority

12% of the speakers carry senior titles — C-suite, Founder, VP, or Director-level.

  • C-suite16%
  • Founder / Owner16%
  • Manager / Lead529%
  • Product16%
  • Engineer · IC318%
  • Research / Science212%
  • Marketing / Brand16%
  • Other roles318%

Of 17 on the bill · classified by free-text title

03Fig. 03 — The Heaviest in the Room
  1. 01Amazon3V
  2. 02Google2V
  3. 03AWS1V
  4. 04Blue Cross Blue Shield1V
  5. 05Box1V
  6. 06Desjardins1V
  7. 07Discover Finanvial Services1V
  8. 08Instacart1V
  9. 09LinkedIn1V
  10. 10Meta1V
  11. 11Policing Lab1V
  12. 12University of Chicago1V
  13. 13University of Wisconsin-Madison1V
04Fig. 04 — By Tier

Tiers were not disclosed for this convocation.