Student events archive
Explore past student events hosted by the Data Science Institute for students from a wide range of departments. Events have included industry visits, networking events and seminars from our Careers in Data Science series.
Past student events
Careers in Data Science
Data (and data science) in the Markets divisions of investment banks01 April 2025 | 4.00pm to 5.30pm
Speaker: James Hamp, Head of FX Data Strategy & Analytics at Citi
Careers in Data Science
Data Science across industries03 December 2024 | 4.00pm to 5.30pm
Speaker: Christian Svalesen, Senior Machine Learning Engineer at SoundCloud.
Careers in Data Science
Navigating Data Science from Academia to Media, and Beyond23 October 2024 | 4.30pm to 6.00pm
Speakers: Tabtim Duenger, Senior Data Scientist at The Economist; Riya Chhikara, Data Scientist at The Economist
Industry Visit
Bank of England22 October 2024 | 10.00am to 4:45pm
Students have the opportunity to visit the Bank of England and learn how data science is used within its operations.
How to study data science at LSE: student perspective
Location: LSE Lecture Theatre, CBG25 September | 11.00 to 12.30pm
Speakers: Alexey Burmistrov, DSI student; Sonja Belkin, DSI student; Kristina Dixon, DSI student; Jessie Zhang, DSI student; Aksh Sabherwal, DSI student
Chair: Jon Cardoso-Silva, Assistant Professor, Data Science Institute, LSE
Welcome week information stand
Location: Welcome Marquee24 September | 2.00 to 4.30pm
Drop in to learn from DSI staff about course content, requirements and more and take part in our competition to win a DSI tote bag and vouchers.
Careers in Data Science
Demystifying the transition from non-tech into data science20 March 2024 | 4.00pm to 5.30pm
Speaker: Rianna Beaton, Data Scientist at Amazon
Careers in Data Science
The LEGO Group Career Panel
05 March 2024┃4.00pm - 5.30pmSpeakers: Olivia Belton, Data Ethics Specialist at The LEGO Group and a panel of Data Scientists at The LEGO Group. This event is co-hosted with LSEU Data Science Society.
Careers in Data Science
Keeping London Moving with Data28 February 2024, 4.00pm to 5.30pm
Speakers: Lauren Sager Weinstein, Chief Data Officer, at Transport for London (TfL); Jemima Clifford, (pictured) Graduate Data Scientist at Transport for London (TfL)
Careers in Data Science
In Data Science, Context is Key but Passion is even Better!
28 November 2023, 4.00pm to 5.30pm
From gaming to e-commerce to customer engagement, data science continues to make a positive impact on countless industries. Knowledge of subject matter is necessary however a passion for the area is a great place to start (and of course if you have both, that’s the best)! Getting to work with subject matter experts and business stakeholders is an integral part of the data science process therefore working in a specific area gives you the opportunity to learn more about it and potentially become an expert yourself.
In this presentation, Lareina will share how she has leveraged her research and data science skills to work in areas of passion and to drive impact with unbridled enthusiasm. She will give an overview of her background, indirect route into data science, and how context and passion has motivated her and propelled her career forward.
Speaker: Lareina Milambiling, Senior Data Scientist, The LEGO Group
Careers in Data Science
Data Science as a Career and a Side Hustle
24 October 2023
Data science is a career which can pay tremendously well, but it also gives you the skills to be an entrepreneur. In this presentation Ben will explore how he has taken his experience as a Lead Data Scientist at John Lewis and Waitrose and applied it to launching a side hustle.
Ben will give an overview of his background, his role at John Lewis, what it has been like building a startup. He will discuss how the types of data science projects taken for granted at multi-billion pound companies are only just starting to trickle out to the wider economy, and why this presents an amazing opportunity for anyone with programming skills and an interest in building.
Speaker: Ben Marshall, Lead Data Scientist, John Lewis & Partners
Careers in Data ScienceData Science - the new silver bullet in retail?
16 March 2023
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, Data Science leader and Vice President for Consulting, CGI
Careers in Data Science
From Tokyo 2021 to the future of AI: my journey as a data scientist
16 February 2023
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.
Speaker: Priyanka Suresh, Applied Business Analyst, Deepmind
Essential skills for a career in data
2 February 2023, 13:30 - 14:30
Graham Wallas Room, Old Building
As part of the LSE Careers ‘Discover Data’ week, the DSI is holding an information session to signpost students to the skills they need to thrive in a data science career.
This session will provide an overview of a range of different careers that are emerging in this sector that is becoming increasingly interesting to LSE students. As students prepare for the jobs market, this event will signpost the resources available to develop the skills required to pursue different careers in data science, such as the LSE Digital Skills Lab.
Following a 30-minute presentation from DSI Director Professor Ken Benoit on the tools that need to be mastered within these different common career paths, such as GitHub, R, and Python, students will be able to ask questions on the topic.
Discover Data Programme: Data Science Careers Panel
31 January 2023, 18:30 - 20:00
Old Theatre, Old Building
This panel, co-organised by LSE Careers and the LSE Data Science Institute is designed to support you to develop your knowledge of career options in Data Science. It brings together LSE alumni from across a range of roles and organisations in data science to discuss their careers, the opportunities available, and the challenges they've met.
Each panel member will speak for a short time about aspects of their career and the day-to-day realities of working in this sector. You’ll then have the opportunity to ask questions during the Q&A.
Panellists include:
- Chinonye Dianne Pat-Ekeji, Data Scientist at Tripledot Studios
- Mark Perfect, Data Scientist and Senior Consultant at Deloitte
- Micha Panagiotidi, Data Scientist at Updraft
- Tabtim Duenger, Data Scientist at Greater London Authority
- Pauline Ting, Data Scientist at Amazon Web Services
The panel will be chaired by Antonio Cordella, Programme Director of the MSc Management of Information Systems and Digital Information.
This event will be particularly useful if you:
- are thinking of a career in data science
- are curious about the sort of work and responsibilities jobs in this area can entail
- would like to hear about the specific skills required in the sector.
Attending this event will enable you to:
- describe the key functions and the day-to-day work of the panellists in this broad career area
- evaluate some of the realities of careers in this sector
- state strategies to get started in similar lines of work, based on the alumni insights.
Industry Talks: Spatial Data Science
Julia Wagemann - Women+ in Geospatial
25 January 2023, 17:30 (Via Zoom)
Julia Wagemann is a data scientist, PhD candidate and community-builder who promotes the use of open Earth data to better tackle climate, environmental and societal challenges. Her work is in the intersection between data providers and users of Earth data, resulting in a strong ability to translate user needs into a compelling vision for user support, training services and business development. As an independent consultant, she has worked together with a range of leading companies and intergovernmental organisations to develop training on Earth data, programming and emerging technologies.
Data Science Careers Networking Event
31 January 2023, 20:00 - 21:00
Old Theatre, Old Building
Following the panel event a networking session will take place. This informal session is open to all students that attended the panel event. Students will have the chance to further explore some of the themes that arose in the Q&A over refreshments.
This is the perfect opportunity to ask questions about the day-to-day realities of working in this sector to those with first hand knowledge.
Industry Talks: Spatial Data Science
Markela Zeneli and James Brennan - Climate X
7 December 2022, 17:30 - 18:30
Markela Zeneli is a Data Science MSc student from Goldsmiths College. At Climate X, she is a Data Science Junior Associate who is looking at the financial cost of climate change. This involves research into the environmental and social mechanisms that accelerate and differentiate human impacts.
James Brennan is the Remote Sensing and Data Science Lead at Climate X. He brings years of experience with applying remote sensing and data science to help solve key environmental challenges. During his PhD he worked with the European Space Agency on developing key climate data sets used to predict future carbon emissions.
Climate X is a global climate risk data and analytics provider. They help firms analyse the impact of extreme weather events linked to climate change. They deliver location-specific risk ratings, EPC ratings for transition risk and climate-adjusted loss estimates between now and 2100 under multiple climate emission pathways.
Organised by Dr Elisabetta Pietrostefani
Three-week Mastercourse – Data-Driven Management & Digital Consulting with Celonis
November 2022
This course explored what the management of tomorrow will look like in a world that is more digitised than ever. Celonis helps organisations track their internal processes based on digital footprints in IT systems. Celonis is the market leader for Executive Management Technology with customers like Unilever, Coca Cola and BMW. Celonis uses Process Mining technology as well as different Artificial Intelligence and Machine Learning capabilities to reveal insights and to provide direct recommendations.
In this Mastercourse students discovered trends in Digital Transformation and Data Driven Management and how process-oriented data science can facilitate an analytical viewpoint within organisations. Furthermore they gained business user skills in Celonis software to understand how to use it in a management consulting context.
Content Overview
· Week 1: Kick-Off Workshop (live); Start of Online Training with Theory Introduction to Process Mining and Celonis Software Training
· Week 2: Online Learning: Celonis Software Training; Introduction to Business Case "Pizzeria Mamma Mia" (online)
· Week 3: Online Learning: Deadline for Business Case Pizzeria Mamma Mia (online), Process Mining and Prediction
Careers in Data Science
Moving from talk to practicalities - fairness in machine learning
10 November 2022
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.
Speaker: Luke Vilain, Data Ethics Senior Manager at Lloyds Banking Group
LSE Careers Industry-led Skills Seminar: Digital business models and value creation with Ommax
Wednesday 26 October (15:00 - 16:30)
OMMAX is a leading digital strategy consultancy - in this skills seminar, you'll have the chance to learn about digital business models, digital due diligence, and value creation through an interactive session with their team which will include LSE alumni.
Get hands-on knowledge and experience and find out what a career in digital strategy consulting really looks like.
Careers in Data Science
Data science for management consultancy
20 October 2022
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.
Speakers: Mads Frank, Manager - Behavioural And Data Science for Talent & Organization at Accenture; Priyal Haria, Junior Consultant at Ekimetrics; Marta Bárcena Rodríguez, Junior Consultant at Ekimetrics.
LSE Careers Industry-led Skills Seminar: Digital health- a people's lives game changer with Novo Nordisk
Wednesday 12 October (13:00 - 14:30)
The seminar starts with a short introduction to digital health and its relevance for the future of healthcare, understood in wide terms: public, private, and as an industry. Recommended readings will be sent beforehand and understanding of some basic concepts for patient care journey is advisable for an easy facilitation during the workshop.
After the provided context, the business case will be presented: challenge is to propose digital solutions from the patients’, and healthcare practitioners’ (doctors, nurses, etc.) perspective. The case deals with the treatment of a chronic disease. 6 groups in total will spar their potential solutions; from both perspectives and present a pitch of 5 minutes with the focus being on the logic behind their proposal, expected results, and plausible pitfalls. At least 2 groups will have to work on any of the 3 targeted stages of the patient journey: screening symptoms, early care initiation, and adherence to an effective treatment.
The presentations will be followed by a debrief and feedback from the organisers, with an open session to discuss learnings. The speakers will also highlight the skills relevant for the healthcare industry and the approach towards healthcare recruitment.
LSE Careers Industry-led Skills Seminar:Robotics & intelligent automation at Deloitte for non-tech careers (online)
Thursday 13 October (18:00 - 19:30)
This skills seminar is for people who are considering/ interested in a career in technology and/or Robotics. The Deloitte R&IA (Robotic & Intelligent Automation) team build robotic solutions for their clients so that humans can focus on other more complicated tasks. They will give an overview of what robotic process automation actually is and its key benefits, and discuss their approach in how hey deliver tech solutions to their clients which is an approach that is taken up industry wide in multiple countries for various tech sectors.
The team will give examples of some of their use cases and how they delivered solutions to world renowned clients.
Finally, at the end of the event for those who wish to stay they will discuss the roles we have available from September 2023 both technical and non-technical and how you can apply. There will be time for any questions and an individual from the team will share their contact details if you have any questions following the event.
LSE Careers Industry-led Skills Seminar: Careers in tech for non-tech students panel
Thursday 6 October (18:00 - 19:00)
This panel is designed to support you to develop your knowledge of career options in the technology sector, without having a computer science or other tech-related degree.
It brings together LSE alumni from across a wide range of careers in tech to discuss their careers, the opportunities available, and the challenges they've met. You will also be able to explore the tech sector, its main stakeholder, its challenges and trends, as well as the skills required.
Panellists:
Christian Laffin, Product Manager at Sysdig
Graduated from LSE in 2015 with a BSc in Social Policy. Started my career in the UK government, joining the Civil Service Fast Stream, specifically the Digital and Technology stream, and then took a permanent role. During my time in government, I worked on several major digital transformation programmes across borders, immigration, national security, tax and benefits. After nearly 6 years in central government, I decided it was time for a different challenge and joined Wise, a fintech based here in London as Product Manager for their cloud infrastructure, though in the last few months joined Sysdig, a US-based cloud security startup as Product Manager.
Dylan Shaw, Regional Programme Manager at Google
Working in political and security risk roles in London after graduating LSE with a BSC in IR & Modern History in 2015, Dylan joined Uber during its acceleration phase and performed various security risk management roles across EMEA. He helped prepare his department for the company’s largest business acquisition and for its initial public offering, and helped support rapid geographic and business growth in the region. He completed an MSc. from UCL during this time. Dylan has now joined Google in 2021 to develop novel and innovative security programmes across EMEA & APAC.
Johannes Svanberg, Technology Strategy Consultant at Accenture
Johannes is currently a Senior Technology Strategy Consultant at Accenture. He advises C-suite and global leadership teams of FTSE 100 and S&P 500 on their digital strategy. He has also developed extensive experience as a programme director where he has led multiple complex digital transformation programmes across various sectors. In addition to his consulting role, he is the fintech lead for Accenture Ventures. (corporate VC arm)
Prior to Accenture, Johannes worked at Infosys as a Senior Consultant in CIO Advisory and at Boston Consulting Group (BCG) as an Analyst within the Capital Markets team. Johannes started his career in sales & trading at a bulge bracket bank and a fintech. He holds an MSc in Economic History from LSE (‘17).
Constanze Salzmann, Director Digital Strategy at OMMAX
Constanze is leading digital due diligence projects and customer projects with a focus on digital strategy development for national and international clients, e.g. KKR, EQT, Afinum Management, and Gilde Buy Out Partners. Prior to OMMAX, she worked for strategy consultants EY-Parthenon and held previous roles in financial advisory. Constanze holds an MSc and BSc in Business Administration and Engineering from Technical University Munich with a specialism in Finance and Accounting.
Panel chaired by Nedelin Velikov from the LSE Digital Skills Lab.
Three Week Mastercourse with Celonis
July 2022
LSE students learned together with Germany’s and New York’s most valuable startup Celonis
What will the management of tomorrow look like in a world that is more digitised than ever?
Celonis helps organizations track their internal processes based on digital footprints in IT systems. With this Celonis has turned into the market leader for Executive Management Technology with customers like Unilever, Coca Cola or BMW. Celonis uses Process Mining technology as well as different AI and ML capabilities to reveal insights into what is happening in an organization and to provide direct recommendations.
In this Mastercourse students could learn about trends in Digital Transformation and Data Driven Management and how process-oriented data science can facilitate an analytical viewpoint within organizations. Furthermore students gained business user skills through accessing the Celonis software, discovering how to use it in a management and management consulting context.
LSE Careers Skills Accelerator
July 2022
This summer the LSE Careers Skills Accelerator programme expanded the skillset of students, built understanding and boosted confidence.
The LSE Data Science Institute collaborated with the LSE Digital Skills Lab to create a new module titled Data for Social Scientists within this programme.
This and the other four modules were run virtually with students offered lots of flexibility, so that it could fit around other plans this summer. Completion of these modules also gave students the chance to secure a place on a two-week team-based virtual project with a partner employer.
More about the LSE Careers Skills Accelerator
A series of five engaging and practical virtual skills modules, based on real world simulations and industry scenarios, built skills in five key areas. These were designed specifically for LSE students:
- Practical Problem Solving
- Collaboration
- Cultural Intelligence
- Innovation
- Data for Social Scientists
Careers in Data Science
How my degree helps me to work as a data scientist
26 May 2022
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.
Speaker: Tabtim Duenger, Data Scientist (alumna of MSc Applied Social Data Science), Greater London Authority
Careers in Data ScienceHow organisations turn data into decisions
31 March 2022
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.
Speakers: Martin Lukac, Research Data Scientist, QuantCo; Peter Schmidt, esearch Data Scientist, QuantCo.
Process Automation Bootcamp
Data-Driven Management in a hyperautomated world
31 March 2022
This Process Automation Bootcamp gave students and young professionals insights into how data science and automation can be used for operations and internal analytics. Participants gained skills in the Celonis Integromat software and learnt how to use it in the management and consulting context. A particular focus was placed on the automation of process flows and the potential which can be unlocked.
What students learnt:
- The theory and application of process automation
- How to use the Celonis Integromat software at business user level
- How Applied Software Tools are used in the Automation Sphere (Action Flows & Integromat)
- How Process Automation can be applied to a business case
Careers in Data ScienceHow to find your first data science role
24 February 2022
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.
Speakers: David Dorrell, Competition and Markets Authority; Anton Boichenko, Product Developer (alumnus of MSc Applied Social Data Science), Decoded
Industry Talks: Spatial Data Science Lent Term 2022
Organised by Dr. Elisabetta Pietrostefani
The spatial data science community is exponentially growing every year! Countless businesses and organisations need to ask important location-based questions to adapt to the new era we are living in.
These industry talks represented an opportunity for students to meet experts from the GIS and Spatial Data Science community working in both businesses and non-profit organisations. Students had the opportunity to hear about speakers’ work and ask questions about how they have analysed and modelled spatial data for companies, organisations, or other projects.
Industry Talks: Spatial Data Science
Joanne Hayek - Designer and interactive mapping coder
16 February 2022
Focusing on sustainability and innovation, Joanne’s practice spans across scales and disciplines through a variety of projects that combine social entrepreneurship and academic research. In recent years, Joanne has ventured into the fields of digital design, programming and data science through community projects that explore real-time interactive mapping as a tool for sustainable co-planning. In 2020, in response to the Beirut blast, she co-designed and coded the digital platform Emerge Beirut offering users the possibility to share their actions in real-time to help coordinate the post-blast recovery efforts. In 2021, her work was exhibited at the Venice Architecture Biennale as part of the project Beirut Shifting Grounds, in which she presented a dynamic data visualization and mapping of the grassroots deployments taking place in Beirut since October 2019. In November 2021, Joanne co-curated Shape Your City, an interactive installation exhibited as part of the Dubai Design Week in which she developed a web-app that allowed visitors to co-design the future of their city in real-time. Her research was also presented as part of the latest SMUS conference -Spatial Methods for Urban Sustainability Conference- in 2021 and as guest lecturer at MIT’s school of architecture and planning.
Industry Talks: Spatial Data Science
Sebastian Estivill & Karla Alfaro – Voluntary Intelligence Center (CIV)
28 February 2022, 17:00
The Voluntary Intelligence Center (CIV) is a non-profit Civil Association established in Mexico City after a major earthquake on September 19, 2017. The primary mission of the association is to develop technologies and strategies to help the civilian population during future disasters. In collaboration with the academical sector, the CIV has developed 3 major projects: VATRE, SIRAC, and Silvana:
1) VATRE focuses on building the chassis and electromechanical components of UAV's to be deployed during the response phase.
2) SIRAC uses image recognition algorithms along with robot vision and navigation to perform as "the brain" of the CIV's UAV assets.
3) Silvana concerns the creation of virtual 3D scenarios simulators to train human UAV pilots and strategists, as well as generate images for the convolutional neural networks trainings.
Sebastian is the founder of the CIV is a Mechanical Electrical Engineer. During the 2017 earthquake, he coordinated the voluntary response efforts in collaboration with the Mexican Army and other federal institutions. Karla Alfaro is an Economist, Data, and Political Scientist who specializes in econometrics and data analysis. Her work on computer vision provided the CIV, in 2020, with its first trained convolutional neural network to detect collapsed buildings using aerial images.
Industry Talks: Spatial Data Science
Matt Forest - Head of Solutions Engineering at Carto
Miguel Álvarez García - Director of Data Science at Carto
15 March 2022
Matt and Miguel work with a range of customers to study geospatial problems and develop spatial data science analyses to integrate into Carto’s core platform. They use a wide range of tools to solve problems and use creative approaches, both in terms of technology and spatial data science techniques, to solve complex geospatial problems. Carto is a Software as a Service cloud computing platform that provides GIS, web mapping, and spatial data science tools. The company is positioned as a Location Intelligence platform due to tools with an aptitude for data analysis and visualization that do not require previous GIS or development experience.
Industry Talks: Spatial Data Science
Andrew Zolli - Chief Impact Office at Planet
30 March 2022
Andrew Zolli oversees Sustainable Development and Global Impact initiatives of Planet, a breakthrough geospatial imaging organization that has deployed the largest constellation of Earth-observing satellites in history. Together, Planet’s satellites images the entire surface of the Earth every day, in high resolution. The resulting data has transformational value for addressing a host of global challenges, including measuring and monitoring natural capital, ensuring human rights, predicting food insecurity, assessing climate change, accelerating disaster response, and improving conservation, among others. Andrew is also a well-known writer and thinker on the use of technology for social and ecological impact, and the author of bestselling Resilience: Why Things Bounce Back, now published in many languages worldwide.
Industry Talks: Spatial Data Science
Jonathan America - TomTom
11 May 2022
TomTom is a leading independent geolocation technology specialist, shaping mobility with highly accurate maps, navigation and real-time traffic information. Jonathan is the Senior Product Marketing Manager at TomTom. He has been working with location technology data and mobility products for more than 10 years, bringing always a "customer-first", "user-centric" approach throughout all product life cycle.
Skills seminar: Introduction to SQL coding workshop
16 February 2022
This session explored SQL, which is fast becoming a fundamental skill when working in Data Science. As such a good working knowledge of the language is often considered essential when applying to many roles.
In this session, attendees got a taste of programming in SQL - essentially Excel for Big Data - from Ties Boukema, a Google analyst.
Ties works as a financial analyst, and also contributes to Google's climate science team. He's also the EMEA Data Science facilitator, and co-founder of Cognitas Bootcamps.
This event explored the following:
- understand the basics of SQL and begin your learning plan
- test out your newly acquired skills on some basic data tasks
- gain an insight into the various applications that SQL has
- learn more about career opportunities in Data Science
- learn from an Senior Financial Analyst at one for the world’s leading big tech firms.
This event was particularly useful if you:
- are curious about coding or would like to understand the basics of SQL
- are considering a career path outside of consulting & banking
- are interested in finding out about the wide variety of applications SQL has.
This event was part of the Careers in Data and Tech programme which features a diverse range of seminars, networking sessions and panels aimed at students who aspire to work in a data and tech role.
Data and Tech programme 2022 | Lent Term 2022
LSE Careers hosted a range of events in Lent Term to aid students with an interest in pursuing careers in data science and related fields.
Panel events
Careers in tech for social impact
14 February 2022
Chaired by the LSE Digital Skills Lab
Panellists from Sparta Global, Ebury, Softwire, Computer Aid International.
Careers in Data Science
17 February 2022
Chaired by the LSE Data Science Institute
Panellists from Mastercard, Smart Odds, Google, Home Depot Data Science.
Employer skills seminars
FDM - stepping into a career in tech
16 February 2022
Roche - how technology is shaping the healthcare sector
16 February 2022
Meet our alumni
Meet our alum: tech and data
15 February 2022
With alumni from Twitter and Capital One
LSE Careers Consultancy Project in conjunction with Racing Unleashed
2022
LSE Careers run a range of interesting consulting projects, including a Consultancy Project in conjunction with Racing Unleashed.
Programme overview:
Students were given the opportunity to work on a 6-week real-world experience with clients, acting as 'student consultants'. They receive their client’s brief, undertake project research, and submit deliverables to the industry client and PhD mentor for feedback. Students were divided into teams of five, to ensure an interdisciplinary approach to problem-solving.
A detailed summary presentation of the programme which provides more information can be found here.
Programme requirements:
- Student teams collaborated completely online to complete the project. Offline collaboration of student teams is subject to individual discretion.
- Students were required to commit to 25 hours in total over the 6-week experience, and submit a final presentation and data dashboard to the client.