Back to schedule

Location

1 Cousin Ln, London EC4R 3TE

When

6:00 PM - 9:00 PM



DSF Women in Data Meetup with Deliveroo

@
6:00 pm-
9:00 pm
October 22nd , 2019, Tuesday
Location:
Type:

Women working in Data, what’s your story? Join Data Science Festival – London in partnership with Deliveroo October 22nd, for an evening of 4 lightning talks and a panel discussion including 4 x female data enthusiasts. This evening we will be focusing on diversity and personal experiences as a women working in data.

Due to the popularity of Data Science Festival events, we are now allocating event tickets via a random ballot. Registering here enters you into the ticket ballot for the Data Science Festival Event at Deliveroo on October 22nd 2019, the ballot will be drawn on October 18th. Those randomly selected will then be e-mailed a Universe ticket for the event, with the joining details.

If you get an allocated Universe ticket, please bring a copy of your paper ticket or your ticket on your phone to the event to check in with your QR code. Tickets are non-transferable.

PLEASE NOTE REGISTERING ON MEETUP DOES NOT GUARANTEE YOU ENTRY TO THIS EVENT.

Please click here to apply for a ticket: GET TICKETS

SCHEDULE

6:00: Doors open
6:30: 4 x 10 minute lightning talks
7:20: Break
7:50: Panel discussion
8:40: Networking
9:00: Close

Ela Osterberger – Director of Data Science at Deliveroo

Summary:  “She is great, but she needs to work on her confidence”. Why is the pronoun too often she? Ela will talk about confidence, if it’s a gender issue and explores if confidence is a must-have to be successful.

Bio: Ela heads up the Data Science team at Deliveroo that works on the Delivery algorithms, Consumer care, and Rider pricing. Prior to exploring data on pizza and finding the fastest route from A to B on a bike, she ran a data team at the Guardian. Outside of work, Ela enjoys baking (and eating) cakes, encouraging her baby to say ‘Mama’, and train rides. She is passionate about developing Data Scientists and optimising happiness at work.

Sonya Barlow – Founder of Like Minded Females and Manager in tech

Summary: As different personalities in the workplace we are often told to leave our mood at home and come to work in the most professional manner. With over 47% of millenials having a side hustle, less than 15% of females in technology and the average pay gap being 18% in a data role, its time to discuss the truth about inclusivity, culture and what we need to start doing to change the status quo and make data more diverse, different and daring! How can we leave our moods at home when the data shows it just isn’t as fair?

Bio: Sonya Barlow is the Founder of diversity initiative Like Minded Females, a women of colour in technology and public speaker. She has won numerous awards including Rising star UK 2017, UK Tech business women finalist sponsored by PWC 2018 and Pitch superwomen 100 2019. Her passion areas include cultural change, diversity & Inclusion and confidence building.

Kat James – Head of Data Science at Royal Mail

Summary: Who to hire, how to hire, when to hire. In this lightning talk, I will take you through the many lessons I have learnt through growing data science teams and will share the reasons behind my passionate belief that in data science the only way to build a successful team is to build a diverse team.

Bio: Kat is the Head of Data Science at Royal Mail where she leads a team who work on all sorts of interesting problems, from route optimisation to computer vision. She started her Data Science career recommending holidays at British Airways (something she still likes to do!) before moving onto Aviva. Her background is in Statistical Genetics, particularly in the field of HIV research and she completed her PhD at Oxford in 2014. She is passionate about diversity in Data Science and acts as a career mentor for several early stage Data Scientists.

Chandini Jain – Founder at Auquan

Summary: Chandini talks about her career as a female data scientist working in top financial institutions and describes how you can prove that you’ve got what it takes to be one too by exploring a case study of one of our users.

Bio: Chandini has over 7 years of global finance experience, having previously worked with Deutsche Bank Mumbai/New York, before becoming a derivatives trader at Optiver, the world’s largest market-maker, in Chicago and Amsterdam. At Optiver, she traded volatility arbitrage strategies and helped pioneer the shift from discretionary to automated and data-driven trading.

 

Chandini Jain
Auquan
VIEW BIO
Bio: Chandini has over 7 years of global finance experience, having previously worked with Deutsche Bank Mumbai/New York, before becoming a derivatives trader at Optiver, the world’s largest market-maker, in Chicago and Amsterdam. At Optiver, she traded volatility arbitrage strategies and helped pioneer the shift from discretionary to automated and…
Ela Osterberger
Deliveroo
VIEW BIO
Bio: Ela heads up the Data Science team at Deliveroo that works on the Delivery algorithms, Consumer care, and Rider pricing. Prior to exploring data on pizza and finding the fastest route from A to B on a bike, she ran a data team at the Guardian. Outside of work, Ela…
Kat James
Royal Mail
VIEW BIO
Bio: Kat is the Head of Data Science at Royal Mail where she leads a team who work on all sorts of interesting problems, from route optimisation to computer vision. She started her Data Science career recommending holidays at British Airways (something she still likes to do!) before moving onto…
Sonya Barlow
Like Minded Females
VIEW BIO
Bio: Sonya Barlow is the Founder of diversity initiative Like Minded Females, a women of colour in technology and public speaker. She has won numerous awards including Rising star UK 2017, UK Tech business women finalist sponsored by PWC 2018 and Pitch superwomen 100 2019. Her passion areas include cultural…