At Kubrick, we actively seek out and develop diverse, passionate
individuals from a breadth of backgrounds to bring business a fresh
approach to realise the potential of data, AI, and cloud technology and
build sustainable solutions for a rapidly changing world. We build our
own workforce in the skills which organisations across industries need
to transform, solving their short-term capacity challenges as well as
future proofing capability with long-term team augmentation.
We are an award-winning consultancy that hires diverse graduates and
junior professionals and transforms them into consultants who can solve
our clients’ data, AI, and next-generation challenges through
high-quality, salaried training and dedicated support. Our unique blend
of high-quality training, access to exciting clients and projects, and
dedicated support will accelerate your career much faster than the
typical graduate scheme.
Our commitment to diversity and inclusion
Our network of Diversity Champions brings their passion for inclusion
into Kubrick by acting as ambassadors to educate and support colleagues,
as well as advocate for positive change. Our consultants all have
dedicated success managers providing them with the help and support they
need, both during their training, and while deployed onto our client
sites.
We help amplify the voices of underrepresented groups in our industry
through a variety of initiatives which include podcasts and live events.
We are proud supporters of Shadow to Shine, an organisation committed to
improving life outcomes for London based youth who face systemic
barriers to their professional success.
We have developed partnerships with organisations such as Young Data
Minds and Women in Data to help improve diversity in the industry. We
have started supporting young people to develop an awareness of careers
in tech through outreach events in schools. Our mission is to develop a
diverse workforce for the technology industry and make Kubrick a place
for everyone, regardless of gender identity, ethnicity or nationality,
disability, religion, sexual orientation, socioeconomic background, or
age.
"I graduated from Loughborough University with a master’s degree in
Physics, during which I completed a placement at GlaxoSmithKline within
their supply chain team.
What I learnt was simple: data is central to all companies, from
managing everyday issues to making big decisions effectively. I wanted
to be a part of the teams that truly drove change.
I was inspired to apply to Kubrick after seeing both the training scheme
and the client list, as I would have an opportunity to work for some of
most renowned companies and gain invaluable experience to help access
future opportunities. The training Kubrick provides is like no other
programme on offer from other companies. It is so wide-ranging and
balances the skills and professional development that we need to succeed
in the industry.
There are a lot of graduates that join the scheme, so it also felt like
a good transition between university and the workplace. The Kubrick team
is highly diverse and supportive - people come from all kinds of
academic and professional background and are always ready to offer
advice and perspective to help consultants ease into the workforce.
During my current placement, I am working to create a document that
illustrates all the datasets and sources within a platform. The project
requires collaboration with teams all over the company, so I’ve been
able to build a network for myself. This piece of work will provide the
necessary information for senior employees to identify existing problems
within the company and understand how they can solve them.
A career in data has its challenges as a very new industry. However,
everyone is eager to work together to understand of how data can best
help their company. In addition to the technical demands of the
industry, it also encourages the development of skills like problem
solving, communication, and teamwork. It is a fulfilling career, which I
would encourage anyone to pursue!"
Description:
The Kubrick team is highly diverse and supportive - people are always
ready to offer advice and perspective.
Name: Oscar Hansen
Role: CONSULTANT
"Since I was young, I have been interested in technology, computers, and
inventions, but I never pursued these fields as educational or
vocational paths. It was whilst working in tech sales, creating
relationships and speaking openly with the senior stakeholders who were
my customers, that I saw the huge impact technology and data can have on
a business. More so than this, I saw that there was still plenty of room
for improvement, with a lot of companies lagging well behind. I wanted
to move from selling solutions to designing and implementing them myself.
Moving into a career in data was the logical next step for me. I like
the massive amount of opportunity to benefit from data that still exists
in the business world – it makes working in data both freeing and
satisfying day-to-day. It’s also great being at the forefront of a
company’s digital innovation because you are designing solutions for now
and the future, revolutionising the way a company works. Picking up the
skills of tomorrow is the personal upshot of this.
Prior to joining Kubrick, I studied Music at the University of Oxford
(University College), followed by two separate jobs, working in
technology sales.
I was inspired to join Kubrick because of the quality of the training,
guaranteed placement at one of many large companies, a good salary and
seniority progression.
Without the four months of training, I probably would never have learned
coding from scratch, but now I feel like a confident coder in both
Python and SQL. It’s also very helpful being connected with other
Kubrick consultants and trainers, both at your placement and beyond, as
they are often the best source of tech knowledge if you need help.
I like how devoted Kubrick are to creating an inclusive, welcoming
atmosphere for everyone, focusing on ethnic diversity, representation of
women, and mental health.
I also love how many opportunities are now available. Recently, I was
asked to provide a high-level overview of the project I am currently
working on to a team of 30 senior employees via Webex. The feedback I
received from my manager post-session was fantastic, and several people
on the call contacted him to say they found my presentation insightful
and interesting. I was called a “unicorn”, which is a moniker I will
continue to strive for.
I believe a career in data is not closed off to anyone because of their
university subject, previous work, background, or skills. Data needs
young, intelligent, creative people to spur on the latest innovations.
And from the individual’s perspective, there is so much opportunity in
the field right now that carving out a career in data (with the right
training and support to back you up) will surely be fruitful and
fulfilling."
Description:
I was inspired to join Kubrick because of the quality of the training,
guaranteed placement at one of many large companies, a good salary and
seniority progression.
Name: Kate Brooks
Role: CONSULTANT
University: University of Leeds
Degree: Theoretical Physics
"Prior to joining Kubrick in September of 2020, I was completing my
degree at the University of Leeds where I studied Theoretical Physics.
In my final year, I focused on quantum physics, specifically quantum
algorithms for my final master’s project. I was also lucky enough to be
able to spend one of my years at university studying abroad in America.
I attended Stony Brook University in New York State and it was an
amazing experience both academically and personally.
I was compelled to pursue a career in data as I believe it is a
massively underused resource which can play a part in solving so many
issues we currently face as a society. Data has applications across
countless industries, but I have always been particularly interested in
the medical and pharmaceutical impacts of data. There are so many
examples of the way medical data is being used daily to improve patients
experience from diagnostic tools to better ways to track side effects of
medications. I chose to pursue a career in data so I could be a part of
these innovations and make my own contributions.
I found out about Kubrick in my final year at university and was drawn
to apply due to the invaluable opportunity to keep learning after
graduation and gain the skills I would need to be a data professional.
After further research I was excited to apply, having seen the
importance Kubrick place on diversity and their commitment to addressing
the current under-representation of women in data.
The training at Kubrick was a fast-paced, but a great insight into data
and the technical foundations required when working in this area. I
completed the Machine Learning Engineering stream, despite having no
prior experience in this area, and it was great to have all the concepts
clearly explained and demonstrated and it’s given me a very solid
foundation to build on further.
The culture at Kubrick is very supportive with trainers always willing
to spend some extra time with you if you’re struggling. The people team
is also very supportive. I would say one of the biggest bonuses of the
Kubrick model is the large network you have available to ask for help
during and beyond your training. Within your cohort there are 25 or so
other people all starting their careers at the same time who are likely
to be facing or have faced the same issues as you. This combined with
the wider network of Kubrick consultants outside your cohort, who are
always happy to offer advice and support, is a great way to start your
career.
Out of the multiple projects we completed throughout training, the one I
am most proud of was based around predicting customer churn. We were
given a large database of transactions for a savings account; alongside
this, we had a database of information about each customer. We were
asked to use these two databases to predict, given the customers
previous transactions, the likelihood that the customer would leave the
bank in the next month. I particularly enjoyed this project as we had a
lot of autonomy with how we decided to approach the problem and what
methods we thought were most appropriate."
Description:
I completed the Machine Learning Engineering stream, despite having no
prior experience in this area.
Training & Profiles
We offer bespoke, salaried training which is designed and delivered
by industry experts, which replicates the real working environment. This
training is divided into five unique practices that prepare consultants
for different areas and roles within data and next-generation
technology, providing a foundation of skill and experience to accelerate
your career with longevity.
Overview of training:
- 15 weeks of instructor-led, salaried training delivered in a hybrid
setting across the latest tools, tech, and professional skills relevant
to your chosen practice area
- Support and guidance from our team of trainers and Readiness team
- Exposure to real-world projects and exercises that will give you the
confidence to apply what you’ve learnt on site
Testimonials
'I feel privileged to be able to work on high
profile projects with notable clients whilst managing the technical
aspect of my work independently, this is mostly unheard of in other
companies for someone who is straight out of University' (Data Engineer,
Kubrick Group).
Application Procedure
Application Procedure
- Initial application to your preferred practice area via our website
- Telephone interview with member of recruitment
- Virtual assessments to help Kubrick determine whether you have the
right competencies for the role – these tests are not designed to assess
technical skills or understanding as we teach you this during training
- Video interview with a member of HQ
Our Culture
We’re a fast-growing, agile organisation that values hard work,
collaboration, and innovation. We’ve evolved and expanded our
specialisms to meet and anticipate the demands of tomorrow. We support
one another, recognise achievements, celebrate the differences in
others, encourage open communications, and are committed to giving our
people the best tools to thrive.
We recognise the power of diversity of thought and experience to
overcome today’s biggest challenges and are champions of women in
technology, with over 3x the industry average of females in technology
roles.
FAQs
Our practices:
Learn more about our five unique practices below:
Data Engineering
As a Data Engineer, you will learn to organise, cleanse, align, and
correlate complicated data sets to generate better insight and help
businesses transform. We train our Data Engineers in cloud ecosystems
and core programming software, including Python, SQL, Alteryx and
Tableau, as well as provide overview of Machine Learning for versatility
in all the most sought-after areas of data engineering and analytics.
Data Product
Learn to implement a blend of technical and business analysis skills to
develop and deliver data-driven solutions for organisations. Our Data
Product Consultants fully understand the needs and requirements of a
business whilst being an intermediary between data, business, and
technology. Skilled in the relevant data technologies, you will utilise
your skills to translate data-driven solutions to internal stakeholders
in today’s agile environment.
Data Management
Learn to integrate technology, data management, and domain knowledge
with data governance expertise to meet key business objectives. Our Data
Management Consultants combine relevant practical applications and
conceptual theories to articulate, shape, and implement high-quality
data governance within client organisations, embedding reliable and
impactful data use in the heart of business functions.
Cloud Engineering
As a Kubrick Cloud Engineer, you will be critical in our clients’
digital transformation, helping evaluate their current infrastructure,
explore options for moving to the cloud, and then oversee the migration
and the maintenance of the new system. You will collaborate with your
colleagues to embed cloud technology and best practice, revolutionising
the capabilities and efficiency of teams and business functions of
organisations in all industries.
Machine Learning Engineering
Learn about the industry-relevant techniques which are helping
organisations to stay ahead of the curve, including Machine Learning
models such as linear regression, random forests, and neural networks.
Apply data science algorithms to solve real-world challenges like price
prediction modelling, image classification, and sentiment analysis,
delivering high-impact solutions for world-leading businesses.
Please note - Our 2022 Machine Learning Engineering cohort is now
full and we have paused all hiring. We will resume hiring in due course.
Interested in joining one of our practices? Visit our latest jobs for
the full descriptions and apply today!
