Careers in Data Science

Careers in Data Science
16 March 2023, 16:30 - 18:00
FAW 9.04 (Fawcett House)

Register to attend here.

How is data science is helping retail business to create new revenue channels, improve efficiency, reduce working capital, become cybersecure, increase customer loyalty and accelerate sustainability? 

Machine vision, structures/ unstructured data and hyper automation using ML, supervised/ unsupervised learning models and hyper personalisation are transforming retail. In this interactive lecture, Sunil Ramakrishnan will discuss real life examples of how data science has become a critical strategy at retailers like Amazon, Alibaba, Netflix, Disney, Nestle, Co-op, ZARA, OpenSea etc. Sunil will discuss the failures and successes in this path, learnings and the value being realised.   

Sunil argues that data science is now the new silver bullet for companies in their defensive strategies where an incumbent is fighting new competition to lead as well in new offensive strategies where a new disrupter is creating a new blue ocean and taking away customers from lazy incumbents.  

Speaker: 

Sunil Ramakrishnan  
 
Sunil is a Data Science leader and Vice President for Consulting at CGI and a sought-after inspirational speaker at numerous AI conferences across UK & Europe.   

Before joining CGI, he was Chief Revenue Officer & Board member at QiO Technologies (a data science company), Head of AI & IIoT at IBM and Analytics leader at KPMG.  

He has 25 years of experience in consulting with 10+ in using big data, statistics and data science to help retail, banking, energy and manufacturing businesses improve efficiency, reduce working capital, become cybersecure, increase customer loyalty and accelerate sustainability. Experience includes machine vision, structures/ unstructured data and hyper automation using ML, supervised/ unsupervised learning models and hyper personalisation.  

Sunil is an IBM Data Science practitioner, MBA from Imperial College London and has an Honorary degree in Chemical Engineering.  

Connect with him on LinkedIn and Twitter.   

Careers in Data Science
16 February 2023, 16:30 - 18:00
FAW 9.04 (Fawcett House)

Register to attend here.

How does your disciplinary background impact where your career ends up? The answer is - it is up to you!

As a computer scientist with a humanities background, Priyanka Suresh has negotiated the data and tech sector in a range of interesting roles, including five years as a Data Scientist at Google. This gives her experience in a wide range of applied topics within different backgrounds. 

At this event, Priyanka will offer students invaluable insights on the day to day applications of data science gained from her involvement in data projects including the urban planning of travellers for the Tokyo 2021 Olympics. Priyanka will also offer thoughts on broader real world applications of AI and its impact in areas such as climate change.

Register to attend here.

Speaker

Priyanka Suresh
Applied Business Analyst, Deepmind

Priyanka Suresh is a data scientist with 8+ years of experience in academia (Harvard University, Max Planck Institute) and the industry (Deepmind, Google, Softbank). With a dual masters in Computer Science and Humanities, Priyanka uses data as a powerful tool to tell impact-driven stories. Having worked across 7 industries and 5 countries, Priyanka is passionate about socio-cultural implications of data and was part of the advisory board for the Tokyo 2021 Olympics. Priyanka currently works in Strategy & Operations at Deepmind, finding applications of AI research in the real world; and continues to be involved in digital art restoration of South Indian art and Classical Latin texts. 

Moving from talk to practicalities - fairness in machine learning
10 November 2022, 16:30 - 18:00
Thai Theatre (NAB.LG.03)

Principles for the development of fair machine learning systems are now widespread, however what a development team actually has to do to get things moving is often still unclear. Former students consistently note that becoming aware of this was key to becoming employable. 

This session will dive into some of the practical considerations surrounding the application of fairness, and how society should build trust and understanding of machine learning and other AI elements. The event will provide attendees more understanding of what companies might do to move the needle on this topic.

In an open and informal atmosphere, with refreshments provided, LSE students will become aware of why the practical application of fairness is a key component in moving the conversation forward in how we can use trustworthy AI to reduce risk. This will directly benefit them as they map future careers.

Key takeaways:

• Why is a fairness framework important?
• What are the headwinds that a development team faces in the application of fairness?
• What approaches are available for structuring a fairness solution?
• How can you approach identifying harms and groups?

Register to attend here.

Speaker

Luke Vilain
Data Ethics Senior Manager at Lloyds Banking Group

Luke leads a team who design detailed processes and build reusable tooling to support use case teams in addressing fairness and explainability requirements, in a financial services context. Prior to this Luke built development methodologies to support the creation of data science products.

Luke's background is not data science however - he spent 12 years in Accenture as a governance and methodology specialist, working with large programmes to design how they would mobilise and scale to deliver across several dozens or hundreds of projects. 

 

Data science for management consultancy
20 October 2022, 16:30 - 18:00

Data science management consulting is a fast-growing sector - but also one that is commonly misunderstood. What is a data science consultant and how do you become one? How is data science being used to help drive businesses innovate and grow?

Our speakers include an experienced professional an a recent LSE graduate. They will offer different, complimentary perspectives on these topics and will be able to provide invaluable insights for current LSE students as they plan a career in this and related sectors. 

These events are held in a relaxed atmosphere with refreshments provided to encourage conversations and opportunities for networking. The chance to ask questions and gain advantageous insight makes this event unmissable for any LSE student interested in pursuing a career in data science.

“It was great to be able to connect with other students and help them with their doubts about transitioning from university to industry. Especially because many of their questions are the same ones we had a few years ago when we were in the same situation.”

Marta and Priyal, Ekimetrics

Speakers

Mads Frank
Manager - Behavioural And Data Science for Talent & Organization at Accenture

Mads is an experienced professional who leads on behavioural and data science at a global leading technology company. Mads will outline how the role of behavioural analytics and natural language processing is changing in the post-pandemic, virtual-first work environment. 

Priyal Haria
Junior Consultant at Ekimetrics

LSE alumna Priyal will share her experience of transitioning from LSE to industry and the skills required to do so.

Marta Bárcena Rodríguez
Junior Consultant at Ekimetrics

Marta will present with Priyal on a recent project they have been working on with Ekimetrics.

 

How my degree helps me to work as a data scientist
26 May 2022, 16:30 - 18:00
LRB.R.5.05

As the increasing use of data transforms many industries, one of the main challenges businesses now face is addressing the significant skills gap that exists in the field of data science. At the same time, students struggle to know which skills they should prioritise and develop in order to be competitive as they take their first career steps.

This Careers in Data Science event will explore how the skills and experience from data science degrees translate into industry roles and which skills are the most useful to have at entry-level.

Our guest is a recent LSE graduate working as a Data Scientist at the Greater London Authority who will share insights that would have been helpful during her studies. Our guest will also share experiences of applying for entry-level roles and thoughts on which skills from her degree have been key for entering a data science role as a graduate.

The opportunity to gain such advantageous insight makes this makes the event unmissable for any LSE student interested in pursuing a career in data science.

These in-person events are held in a relaxed atmosphere with refreshments provided. Students are encouraged to make use of this invaluable networking opportunity and continue conversations after the session.  

Tabtim Duenger

Tabtim is a Data Scientist (and alumna of MSc Applied Social Data Science) working at the Greater London Authority. Her work focuses on analysing datasets to inform the development of policy and service delivery through the GLA and stakeholders.

She is currently on the Data Science programme with the ONS working to develop an algorithm predicting high streets at risk in London.

How organisations turn data into decisions
31 March 2022, 16:30 - 18:00 
CLM.2.05

The use of data is increasingly key for organisations of all types. Core business processes and decisions are impacted by combining insights from data with engineering solutions.

Guests from QuantCo will share their experiences of leveraging data science, engineering and economics in a way that helps organisations to make decisions.

By relaying real-world experiences at this Careers in Data Science event, our guests will provide invaluable advice and insights to students looking to transition into industry. 

QuantCo's current team members have backgrounds in computer science, mathematics, economics, statistics, and physics. 

These in-person events will be held in a relaxed atmosphere with refreshments provided. Students should register attendance via email.

Martin Lukac

Martin is a Research Data Scientist at QuantCo, where his work focuses on building and improving machine learning systems for fraud detection. Previously, he has been an LSE Fellow in Computational Social Science in the Department of Methodology at the London School of Economics and Political Science and an Associate at the Institute for New Economic Thinking at the University of Oxford. Martin finished his PhD at the Centre for Sociological Research at KU Leuven in Belgium. Get in touch with Martin here.

Peter Schmidt

After growing up in Germany, Peter studied economics there, as well as in Spain and in the United States. He then worked in the Statistics Department of the European Central Bank, before moving to Bocconi University in Milan for a PhD in economics. Peter specialised in Empirical Industrial Organisation, studying the effects of new technologies on incumbent industries, as well as the economics of multi-sided platforms. He then joined QuantCo immediately after completing his PhD in 2019 and has since worked on projects in insurance pricing, process automatisation and fraud detection. Get in touch with Peter here.

How to find your first data science role
24 February 2022, 16:30 - 18:00 
CLM.2.05

Many industries are being transformed by advances in data science, but these advances have outpaced skills development and traditional evolution of career pathways. Many graduates face the question: How do I find an entry-level position? 

The inaugural event in the Careers in Data Science series will help students to plan their careers in data science or related fields by providing advice and insights from those that have made the transition into industry. 

Our first guests will be a recent LSE graduate working in the private sector and an experienced leader in the public sector. Their different perspectives will provide invaluable insights for students as they share strategies, resources and advice on how to find entry-level positions.  

These in-person events will be held in a relaxed atmosphere with refreshments provided. Students are encouraged to make use of this invaluable networking opportunity and continue conversations after the session. 

David Dorrell
Competition and Markets Authority

David is an experienced data leader and multi-disciplinary data scientist who has built and led many data functions including data science, data engineering and eDiscovery teams.

David’s experience includes architecting and building data platforms in the cloud (AWS, Azure) as well as delivering data-led projects that use machine learning to deliver new insight and make a real operational impact. David has also delivered presentations at No. 10 Downing Street and at a World Bank Conference. 

Anton Boichenko
Decoded

Anton is a Product Developer (and alumnus of MSc Applied Social Data Science) who is extremely well placed to offer advice to current students on how to use the skills developed during their time at LSE to navigate the job market.

Anton was recently nominated for an award recognising Outstanding Contribution to Digital Skills at London Tech Week and contributes to LSE Digital Skills Lab courses as a Data Science Tools Trainer, leading sessions on Python, R and SPSS.