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Julian Addison

Data Science Manager


"I enjoy math, especially its application in the real world. I joined Accenture because it provides me access to a full range of industries around the world, which means an opportunity for me to see math in action just about anywhere."

What I do

I’ve been a member of the Accenture Applied Intelligence Innovation Center of Excellence since 2017. I use math to solve problems using data, much like a scientist who uses scientific methods to understand patterns, explain concepts, test hypotheses and predict behavior in systems. I look for trends and patterns that will enable organizations, businesses and government agencies, to reliably forecast future outcomes and manage potential risks and opportunities for their benefit. For instance, I use predictive models and data analysis to help law enforcement officials determine the best supervision and treatment strategies for offenders.

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A day in my life

At Accenture, we have the chance to work with anyone. It’s a truly global company. We could be working on projects across regions and drawing expertise from colleagues on another part of the world. There’re many opportunities to work across different industries, and there’s always something new to learn.

The Applied Intelligence team where I belong comprises members from diverse backgrounds and various disciplines such as physics, computer science, oncology, economics, statistics and math, to name a few. On a typical day, we get our hands dirty building models gathering functional requirements for the models, and writing code to prototype applications. We work on multiple teams, so collaboration is key. Nobody has all the answers, that’s why we all try to figure how things can be done through experimenting. Every now and then, we sit together and share recent developments in data science or the projects we have worked on. This bouncing of ideas allows us to discover useful information that will help us in providing innovative solutions for our clients.

One of the most interesting projects I’ve worked on at Accenture was precision forestry. I built models that detected the location of trees and prevalence of weed growth on different types of drone captured images. During the testing model performance, our team walked through the forest grounds to evaluate our predictions. It certainly was a memorable experience to see the model results come alive.

On my free time, I play football. Nothing beats the excitement of holding the fort in the center of the field, distributing the play and breaking up the attack like a defensive midfielder. I love exploring the great outdoors too. In 2015, I completed the two-week trek to the Mount Everest base camp. More recently, I hiked 373-kilometer route from Santander to Ribadeo on the Camino del Norte along the northern coast of Spain. Aside from that, I also play percussions (drums and cajon) at private and public events.

"I joined Accenture because it provides me access to a
full range of industries around the world."

My advice

Embrace change. There’s no fixed playbook. We’re in flux. You must accept the change that comes with problem solving. Learn and try new things as well. Stay on top of emerging technologies within machine learning and deep learning. Teach yourself something new by asking how a mathematical model has been applied and how you can apply it at work. Better yet, start with a problem. Determine its pain points and build a model around that. Asking the right questions will get you off on the right track.

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