Data Scientist, Coefficient
£38k
Meaningful uplift following a performance review at the successful 3-month probation mark
More information about location
Data science & machine learning consultancy
Open for applications
Data science & machine learning consultancy
1-20 employees
Open for applications
£38k
Meaningful uplift following a performance review at the successful 3-month probation mark
More information about location
1-20 employees
Company mission
To solve real world problems by combining research-grade statistical techniques with a lean startup mentality and a technical skill set.
Role
Who you are
- Be comfortable using Python and SQL for data analysis, data science, and/or machine learning
- Have used any libraries in the Python Open Data Science Stack (e.g. pandas, NumPy, matplotlib, Seaborn, scikit-learn)
- Enjoy sharing knowledge, experience, and passion with others
- Be passionate about leveraging the latest LLM tooling for accelerated AI-enhanced delivery without compromising on quality
- Have great communication skills. You will be expected to write and contribute towards presentation slide decks to showcase our work during sprint reviews and client project demos
- We strongly encourage you to apply if this role excites you and you believe you have the potential to grow here. If you are unsure, please reach out to us - we would genuinely love to hear from you
What the job involves
- Build and deploy cutting-edge AI and ML solutions for diverse clients (from Government to Startups)
- Gain full-stack delivery experience across an array of industries while benefiting from investment in your professional growth and expertise
- You'll be involved in a wide variety of projects, from cutting-edge AI solutions for the UK government to building transformative tools across a range of industries. This isn't just a standard Data Science position; you will gain hands-on experience by delivering end-to-end data science and engineering solutions for our clients, alongside building and improving our own internal products
- You can also expect plenty of mentoring and guidance along the way: we aim to be best-in-class at what we do, and we want to work with people who share that same attitude
- As a unique and fast-growing consultancy, this is an excellent opportunity to make a significant impact and shape our future success
- You may be required to work on-site at clients’ offices
Application process
- Round 1: Application Screening
- We review your application materials (CV, screening questions, and code samples) to assess the initial match
- Note: Your application must include answers to the screening questions and code samples to proceed beyond this stage
- Round 2: One-Way Video Interview (Non-Technical)
- This is designed for us to get a better sense of your interests and personality outside of your technical skills
- Round 3: Practical Coding Exercise (1 hour)
- You will be booked for a 1-hour slot to complete a coding test. This exercise is carefully designed to mirror the practical, real-world data tasks you can expect to do at Coefficient
- Round 4: Technical Interview (1 hour)
- You will meet with a member of our Data Team for a deep dive into the technical skills required for the role. Expect a collaborative session, including pair programming, to see how you approach problems in a team environment
- Round 5: Final Conversation with the CEO
- This is an opportunity to discuss your motivations, long-term career goals, and ensure a strong cultural alignment. We want to know that you'll be a great fit for our team, but we also want to help you achieve your goals
- ⏱️ ⏱️ Our Commitment to You
- Speed: We are committed to moving quickly with this role, and you can expect swift feedback after each completed round
- Feedback Policy: We are unfortunately unable to offer feedback before Round 2. Feedback for subsequent rounds will always be provided if requested
- Please ensure that emails from our hiring platform (Workable) are not being filtered into your spam/junk folder. We want to make sure you receive all correspondence promptly!
- Due to a large volume of applications, we are unable to consider applicants without code samples and submitted screening questions
- We are unable to consider applications from candidates currently in full-time education (including PhD students)
Salary benchmarks
Our take
Over the past few years the demand for data scientists has skyrocketed as companies seek to find experts that can help them effectively use the data they gather. Coefficient is a data consultancy offering data science, engineering, machine learning and other AI-related services as well as bespoke training courses.
The company's hugely varied expertise makes them a smarter option for most companies than an internal team. Coefficient have also built new routing and scheduling software for City Pantry to allow more accurate monitoring of unpredictable London traffic for their drivers. By providing a range of services, the company uses its expertise to assist companies in a range of endeavours, allowing it to be a one-stop-shop for clients' every data related need.
Coefficient has seen success, already boasting an impressive client list, including BNP Paribas, EY, Hawk-Eye, the BBC, and the Metropolitan Police. Going forward the company appear to be expanding its services, having begun offering educational coding courses.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Company benefits
- 10% Time: 4 hours per week dedicated to learning new skills or pursuing your own project ideas.
- Learning and Professional Development: Potential to improve skills through paid courses and subscriptions. We encourage all our team to engage with professional communities and offer additional support for anyone wishing to speak at meetups/conferences.
- Laptop & Peripherals: Company-owned Apple laptop plus peripherals such as a monitor and keyboard, for making remote working both comfortable and safe.
- Team Culture: We have a fantastic small team who value and enjoy our social time together. We do both virtual and in-person events, ranging from board games and cocktails, to guided walking tours, music gigs, and Bake Off experiences.
- Remote working: Work from home opportunities.
- Spill: All-in-one mental health support programme with on-demand access to a variety of support. We cover 8 hours of therapy with a remote therapist for each team member every year.
- Yoga & Wellbeing: Virtual wellbeing sessions once a week, from yoga and meditation to tea breaks and quizzes.
- 33 holiday days (incl. bank holidays).
Company HQ
Marylebone, London, UK
Leadership
John Sandall
(Principal Data Scientist)An Imperial Mathematics graduate, John previously founded Knodium, an education tech start-up selected for Springboard London in 2012. Also Residential Fellow at Newspeak House.
Share this job