Onsite
Job Title: Junior Data Scientist
Location: Greenford (Hybrid – 3 days in the office)
Reports to: Head of Data & Analytics
About Us:
Brompton Bicycle is a leading producer of folding bicycles, renowned for our commitment to quality and innovation. Our mission is to revolutionise urban living and ensure the finest experience for our customers. To aid this, we have assembled a Data & Analytics team and are on the lookout for a skilled Junior Data Scientist to join our ranks.
Job Overview:
In this role, you will be a key player in the application of data science, statistical and machine learning techniques on Brompton’s burgeoning data lakehouse, to answer key business questions from across the organisation.
You will be working with diverse data sets sourced from multiple systems, analysing them using an array of techniques, for our business to derive valuable insights. This process will encompass everything from the exploratory data analysis, application of data visualisation techniques, to deciding what machine learning methodology to apply, all through coding in our cloud platform, Azure Databricks.
A significant aspect of your role will be addressing inefficiencies within the organisation, using your skills to drive automation through coding, reducing the reliance on manual data entry and the time your stakeholders spend on pulling data together.
As a vital part of our team, you will collaborate with diverse departments across our organisation, ensuring that the data solutions you provide align with the business needs. Your work will directly support the creation of data-driven strategies that will yield pivotal insights, bolstering decision making and strategic planning. Within the Data & Analytics team, you’ll work closely with the Data/Analytics Engineers, ensuring that the data is provided to you from the right source, in the correct format.
You will have the chance to contribute directly to our mission of revolutionising urban living, by ensuring that our data science practices are as insightful and relevant as possible.
Responsibilities:
Query, transform and apply the appropriate business rules to our data, from various sources, in preparation for analysis
Undertake exploratory data analysis (EDA) to dictate the direction of analysis, ensuring data quality lies at the heart of everything we do
Choose the appropriate statistical, data science or machine learning techniques corresponding to the completeness and format of the data, articulating the pros and cons of each approach.
Develop, train and monitor predictive models to solve real-world business problems, working with clean and messy data alike.
Link the findings back to the business objectives, demonstrating the ability to not just show technical acumen, but business knowledge (analytics to insight), tracking the outcome to ensure the insight and efficiency has delivered quantifiable business impact
Work with the Data and Analytics team to establish priorities for data ingestion, in line with the most pressing business objectives
Partner cross-functionally with the Head of Data and Analytics, maintaining relationships with key stakeholders across Commercial, Finance, Planning etc.
Requirements:
Bachelor's degree in maths, data science, statistics or equivalent experience
1-3 years of experience in data science/statistics related role
Proficiency with SQL, Python and R, with knowledge on how to transform, analyse and present data in a compelling way
Understanding of how and when to apply basic statistical concepts (linear and non-linear regression, ANOVA, time series analysis, forecasting, imputation etc.)
Understanding of core machine learning concepts, including supervised/unsupervised learning, model evaluation techniques (e.g., cross-validation, confusion matrix, ROC-AUC) and techniques (xgboost, support vector machines, random forests etc.) along with hands-on experience in model training, validation, and prediction tasks using real-world datasets.
Ability to articulate the shortcomings of any analysis based on the level of data quality, acknowledging the connection between data quality and robust insights
Strong problem-solving skills and attention to detail.
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Curiosity-driven mindset with a willingness to explore new techniques and proactively contribute ideas to improve data workflows.
Desirable Skills:
Master’s degree in a relevant field.
Experience with data visualisation tools (e.g. Power BI)
Familiarity with agile methodologies.
Familiarity with Azure Databricks.
Why Join Us?
At Brompton, we believe in building a better future through innovation, craftsmanship, and community. As part of the People Experience Team, you’ll be at the forefront of shaping how our people grow, thrive, and contribute to our mission. This is more than a role - it’s a chance to make a lasting impact.
Benefits at Brompton:
Brompton offers you an excellent working environment with enthusiastic colleagues who get along, communicate and co-operate well with each other. The working climate is informal, but we work hard. Next to good terms of employment, Brompton offers you the opportunity to work in a responsible and challenging job within a dynamic, international and ambitious environment. We are all proud to be part of Brompton Bicycle Ltd; we all share the same passion and dedication to the company and the product, despite any differences in cultural backgrounds and skills.
9 Day Fortnight – This is a flexible working pattern which individuals can opt in for where an employee works their contractual hours across 9 days instead of 10 days. (i.e. 80 hours across 9 days instead of 10 days). This mean the individual would work an additional hour across Monday to Thursday (across the 2 week period) to gain their Friday off.
Annual Leave – 25 days annual leave, plus all UK bank holidays.
Competitive Salary – Plus workplace pension scheme and profit share bonus.
Brompton Discount - Get ready to bike in style, as all employee’s receive up to 60% off their very own bike and accessories, plus there are discounts for your friends and family too.
Staff Loan Bike – All employees are eligible to receive a Brompton Bicycle which they can use free of charge for up to 3 months
Free Breakfast – Unlimited, all-day access to an array of fruit and cereal
Breakout Areas – Unwind on the mezzanine floor which contains a ping-pong, foosball and pool table and other games like darts and a giant Connect-4!
Social Activities - Throughout the year enjoy time with your colleagues as we host an annual Summer and Christmas party, annual bike rides (both inside and outside the UK), volunteering activities and family fun days just to name a few.
Learning and Development - Access to free LinkedIn Learning and opportunity to devote some of your time at work to personal development. We value professional development and actively promote internal promotions and opportunities.
Benefits - Workplace Pension Scheme, Care and Health Support, Flexible Working, Cycle to Work Scheme and other benefits.
Mental Health – We provide access to a confidential EAP that offers counselling, resources and support for various mental health challenges.
Paid Leave – We offer an enhanced Family, Paternity and Maternity leave pay.
Brompton was listed amongst the best UK workplaces in 2020 and was awarded silver investors in People Accreditation and London Living Wage Employer in 2021.
Diversity, Equality and Inclusion Commitment
Regardless of age, disability, race, gender, religion, sexual orientation, culture, educational background, parental status, neurodiversity or disability - whoever you are, if you’re passionate about your work, curious, relentless and customer-obsessed, we want to hear from you.
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