Daniel Nee
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Daniel Nee Email & Phone Number

Senior ML Engineering Manager at Spotify at Spotify
Location: London, England, United Kingdom 11 work roles 2 schools
1 work email found @googlemail.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Current company
Spotify
Role
Senior ML Engineering Manager at Spotify
Location
London, England, United Kingdom
Company size
1 employees

Who is Daniel Nee? Overview

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Daniel Nee is listed as Senior ML Engineering Manager at Spotify at Spotify, a company with 1 employees, based in London, England, United Kingdom. AeroLeads shows a work email signal at googlemail.com and a matched LinkedIn profile for Daniel Nee.

Daniel Nee previously worked as Senior Machine Learning Engineering Manager at Spotify and Machine Learning Engineering Manager at Spotify. Daniel Nee holds Msc, Computational Statistics And Machine Learning from Ucl.

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Email format at Spotify

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{last}.{first}@googlemail.com
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About Daniel Nee

Daniel Nee is a Senior ML Engineering Manager at Spotify at Spotify. He possess expertise in machine learning, algorithms, data mining, hadoop, artificial intelligence and 17 more skills. Colleagues describe him as "Dan managed several of the projects I've worked on at Deliveroo, and did so very effectively. He was a key player in the development of the data science infrastructure of the merchandising algorithms team, which included the introduction of TensorFlow at Deliveroo. During this time, we tested and deployed many methodologically interesting algorithms that optimised the consumer experience, many of which led to significant increases in both order volume and profit for the business. I hugely enjoyed being managed by Dan, he is generous and intelligent, and helped me to develop both professionally and personally.", "Dan has been a fantastic Data Science manager to myself and the Pricing team at Deliveroo over the last year. I don’t think I could have asked for more support as a line manager or Data Science leader. I’ve been inspired by his ability to be super rational and competent in high pressure situations, but at the same time really honest, empathetic and caring. I'm sure he will continue to be a fantastic manager in the future, and I hope I can work under him again one day.", and "Working with Dan was great: he had an amazing attitude. I would summarize Dan in 4 words: positive, intelligent, proactive, calm. Whenever I had a question he would be happy to help with the task at hand. He will be missed and I would definitely love to work with him again in the future!"

Listed skills include Machine Learning, Algorithms, Data Mining, Hadoop, and 18 others.

Current workplace

Daniel Nee's current company

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Spotify
Spotify
Senior ML Engineering Manager at Spotify
Regeringsgatan 19, Stockholm, Stockholm County se
Website
spotify.com
Employees
1
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11 roles

Daniel Nee work experience

A career timeline built from the work history available for this profile.

Senior Machine Learning Engineering Manager

Current
Spotify

Stockholm, Stockholm County, SE

Mar 2023 - Present

Machine Learning Engineering Manager

Spotify

Stockholm, Stockholm County, SE

Aug 2020 - Mar 2023

Data Science Manager

Deliveroo

Blackfriars, England, GB

DS Manager for the consumer product.Responsibilities:- Line management of 5 ML Data Scientists and 3 Product Data Scientists, embedded into product teams. Informal management of 3 Backend Engineers (1-1s, sprint planning).- Data Science Manager for 2 product teams - Merchandising and Consumer Pricing. Merchandising owns the main restaurant feed of the.

Sep 2018 - Aug 2020

Data Science Manager

Tesco

Welwyn Garden City, Hertfordshire, GB

- Developed data products across 4 areas of the business; Store (space, range & display), Online Search & Recommendations, Price Optimisation and Forecasting.- Delivered an algorithm to optimise store space. Created sales & profit regression models and optimised store space using standard MILP solvers. Trial delivered +xx% sales growth and +xx% profit.

Mar 2017 - Sep 2018

Lead Data Scientist

Tesco

Welwyn Garden City, Hertfordshire, GB

- Developed and productionised data ingest of core data feeds into Hadoop (sales, clickstream, product catalogue, etc.). Used Spark to transform raw feeds into a performance optimised data layer used by over 150 Analysts and Data Scientists within Tesco. Drove support within the business to take Tesco from a 15 node POC cluster to 300 node production.

Jan 2015 - Mar 2017

Lead Data Scientist

Visualdna

London, GB

- Developed new Hadoop based data processing and machine learning pipeline for creating marketing audience segments. Approx. 6,000 Logistic Regression models retrained daily and provided predictions across 200m cookies. Audience data produced was the primary revenue stream for the business.- Created algorithms for finding custom lookalike audiences..

Sep 2012 - Jan 2015

Senior Statistical Engineer

Telemetry

Developed a ML approach for detecting ad viewability along with a content classifier that crawled and classified millions of websites into a hierarchy of content categories.Tech stack: R, C++, PHP and MySQL

Nov 2010 - Sep 2012

Data Consultant

Detica

Guildford, Surrey, GB

Fraud detection for financial services clients, combining multiple disparate datasets using a mixture of statistical techniques and social network analysis.Tech stack: Java, SAS, R, SQL and NetReveal.

Oct 2009 - Nov 2010

Research Assistant

University Of Southampton

Southampton, Hampshire, GB

Research Assistant in Information: Signals, Images, Systems group. Applying probabilistic and machine learning techniques to improve the base calling error rate in the Illumina DNA sequencing platform.Tech stack C++, Matlab

Jun 2008 - Sep 2008

Technology Summer Analyst

Merrill Lynch

New York, NY, US

Internship as an application developer within the prime brokerage technology team. Working enhancements to production internal web-based tool for margin reporting. Tech stack: C#, ASP.NET, SQL Server and Crystal Reports.

Jun 2007 - Aug 2007

Engineering Student Placement

Telsis

Tool development for internal engineering team

Jul 2006 - Sep 2006
Team & coworkers

Colleagues at Spotify

Other employees you can reach at spotify.com. View company contacts for 1 employees →

SC Stephen Chechu Stephen Chechu Colleague at Spotify Eldoret, Uasin Gishu County, Kenya, Kenya View → NE Nick Ellsworth Nick Ellsworth Colleague at Spotify Margaretville, New York, United States, United States View → JY Jaewon Yoon Jaewon Yoon Colleague at Spotify South Korea, Korea, Republic Of View → MH Manuel Hernández Tapia Manuel Hernández Tapia Colleague at Spotify Guasave, Sinaloa, Mexico, Mexico View → DB Dewey Bailey Dewey Bailey Colleague at Spotify Kingman, Arizona, United States, United States View → MN Mbh Nidhal Mbh Nidhal Colleague at Spotify Algiers, Algiers, Algeria, Algeria View → TS Tina Sung Tina Sung Colleague at Spotify United States, United States View → АТ Аня Тарасова Аня Тарасова Colleague at Spotify Kyiv, Kyiv City, Ukraine, Ukraine View → AR Azal Ramz Azal Ramz Colleague at Spotify Toluca De Lerdo, México, Mexico, Mexico View → SD Souham Dash Souham Dash Colleague at Spotify Bengaluru, Karnataka, India, India View →
2 education records

Daniel Nee education

Msc, Computational Statistics And Machine Learning

Ucl

Bsc, Computer Science

University Of Southampton
FAQ

Frequently asked questions about Daniel Nee

Quick answers generated from the profile data available on this page.

What company does Daniel Nee work for?

Daniel Nee works for Spotify.

What is Daniel Nee's role at Spotify?

Daniel Nee is listed as Senior ML Engineering Manager at Spotify at Spotify.

What is Daniel Nee's email address?

AeroLeads has found 1 work email signal at @googlemail.com for Daniel Nee at Spotify.

Where is Daniel Nee based?

Daniel Nee is based in London, England, United Kingdom while working with Spotify.

What companies has Daniel Nee worked for?

Daniel Nee has worked for Spotify, Deliveroo, Tesco, Visualdna, and Telemetry.

Who are Daniel Nee's colleagues at Spotify?

Daniel Nee's colleagues at Spotify include Stephen Chechu, Nick Ellsworth, Jaewon Yoon, Manuel Hernández Tapia, and Dewey Bailey.

How can I contact Daniel Nee?

You can use AeroLeads to view verified contact signals for Daniel Nee at Spotify, including work email, phone, and LinkedIn data when available.

What schools did Daniel Nee attend?

Daniel Nee holds Msc, Computational Statistics And Machine Learning from Ucl.

What skills is Daniel Nee known for?

Daniel Nee is listed with skills including Machine Learning, Algorithms, Data Mining, Hadoop, Artificial Intelligence, Git, Software Engineering, and Programming.

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