At a Glance
- Tasks: Build and deploy cutting-edge AI and ML solutions for diverse clients.
- Company: Join Coefficient, a full-stack data consultancy with a focus on innovation.
- Benefits: £38,000 salary, 33 days holiday, mental health support, and professional development funding.
- Other info: Enjoy a hybrid work model with team socials and a commitment to sustainability.
- Why this job: Make a real impact with AI while growing your skills in a supportive environment.
- Qualifications: Proficient in Python and SQL; passionate about data science and sharing knowledge.
The predicted salary is between 32000 - 44000 £ per year.
Coefficient is a full‑stack data consultancy dedicated to helping organisations solve their toughest challenges using data science, software engineering, machine learning, analytics, and artificial intelligence. You will work on a wide variety of projects – from cutting‑edge AI solutions for the UK government to building transformative tools across a range of industries – delivering end‑to‑end data science and engineering solutions for our clients while also improving our own internal products.
Responsibilities
- 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.
- Deliver end‑to‑end data science and engineering solutions for clients.
- Build and improve internal products.
- Participate in mentoring and guidance programmes, sharing knowledge with teammates.
- Work independently but collaborate closely with senior team members, including the CEO.
- Explore the latest LLM tooling to accelerate AI‑enhanced delivery while maintaining quality.
- Write and contribute to presentation slide decks for sprint reviews and client demos.
Qualifications
- Comfortable using Python and SQL for data analysis, data science, and/or machine learning.
- Experience with libraries in the Python Open Data Science Stack (e.g., pandas, NumPy, matplotlib, Seaborn, scikit‑learn).
- Enjoy sharing knowledge, experience, and passion with others.
- Passion for leveraging the latest LLM tooling for accelerated AI‑enhanced delivery without compromising quality.
- Excellent written and verbal communication skills, including the ability to create presentation decks.
Location and Eligibility Requirements
- UK‑based, hybrid role: primarily remote with in‑person collaboration in London 2–4 days per month.
- Eligibility: must already have the right to work in the UK. No visa sponsorship for a Skilled Worker visa.
- Candidates currently in full‑time education (including PhD students) are not considered.
Salary and Benefits
- Annual salary: £38,000, with a meaningful uplift following a performance review at the successful 3‑month probation mark.
- Holiday: 33 days per year, including bank holidays.
- Pension: Smart Pension plan.
- Co‑working spaces: regular co‑working days in London and full access to Hubble network.
- Learning and professional development: paid courses, subscriptions, and sponsorship of PyData Meetups, Humble Data, and conferences (£1,000 in year 1 rising to £2,000 in year 3).
- Mental health support: All‑in‑one programme with 8 hours of therapy per year, worth up to £520.
- Headspace membership: paid access.
- 10% Time: 4 hours per week for skill‑building or personal projects.
- Company‑owned Apple laptop and peripherals.
- Team culture: small team socials (guided walking tours, escape rooms, Bake Off experiences).
- Commitment to sustainability: a signatory of TechZero.
Hiring Process
- Round 1: Application screening – CV, screening questions, and code samples.
- Round 2: One‑way video interview (non‑technical).
- Round 3: Practical coding exercise (1 hour).
- Round 4: Technical interview (1 hour) with pair programming.
- Round 5: Final conversation with the CEO.
- Speed: swift feedback after each round; feedback for rounds > 2 provided upon request.
Additional Information
- Seniority level: Entry level
- Employment type: Full‑time
- Job function: Engineering and Information Technology
- Industries: Software Development
Data Scientist employer: Coefficient
Coefficient is an exceptional employer that fosters a collaborative and innovative work culture, offering Data Scientists the opportunity to engage in diverse projects while benefiting from substantial investment in professional development. With a generous holiday allowance, mental health support, and a commitment to sustainability, employees can thrive both personally and professionally in a hybrid role that balances remote work with in-person collaboration in London.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Get your networking game on! Connect with professionals in the data science field through LinkedIn or local meetups. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Prepare for those interviews like a pro! Research common data science interview questions and practice your coding skills. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Show off your projects! Create a portfolio showcasing your best work, especially any AI or ML solutions you've built. We love seeing practical applications of your skills, so make sure to highlight them during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to grow with us.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any relevant libraries like pandas or scikit-learn. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include any projects you've worked on that demonstrate your data science skills. Whether it's a personal project or something from your studies, we love seeing practical applications of your knowledge!
Be Clear and Concise:When answering screening questions, keep your responses clear and to the point. We appreciate well-structured answers that get straight to the heart of the matter. Remember, quality over quantity!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Coefficient
✨Know Your Tech Stack
Make sure you're comfortable with Python and SQL, as these are crucial for the Data Scientist role. Brush up on libraries like pandas, NumPy, and scikit-learn, and be ready to discuss how you've used them in past projects.
✨Showcase Your Communication Skills
Since you'll need to create presentation decks and communicate complex ideas clearly, practice explaining your previous work in simple terms. Think about how you can convey technical concepts to non-technical stakeholders.
✨Prepare for Practical Exercises
Expect a coding exercise during the interview process. Practice coding problems that involve data manipulation and analysis. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with timed challenges.
✨Emphasise Collaboration and Mentorship
Coefficient values teamwork and knowledge sharing. Be prepared to discuss how you've collaborated with others in the past and how you can contribute to mentoring teammates. Highlight any experiences where you've helped others grow their skills.
