At a Glance
- Tasks: Analyse data and support clients using our innovative machine learning platform.
- Company: Join a dynamic tech company focused on enhancing customer experience.
- Benefits: Enjoy flexible working, health budgets, and 25 holiday days plus your birthday off!
- Why this job: Make an impact in AI while collaborating with top brands like Uber and Amazon.
- Qualifications: Passion for data, experience with Python and SQL, and strong communication skills.
- Other info: Diverse and inclusive culture with excellent growth opportunities.
The predicted salary is between 30000 - 42000 £ per year.
Base pay range Operations Analyst - Machine Learning. Monthly Health & Wellness budget, increasing with length of service. Annual Learning and Development budget, increasing with length of service. Flexible working in a choice-first environment - we trust the way you want to work! 25 Holiday Days + your local bank holidays, plus an extra day for every year of service. Your birthday off. Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave. Employee Assistance Programme (UK Only). The opportunity to share in the company’s success through options. If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace.
Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We’re now looking for a talented Operations Analyst - Machine Learning to join the team!
What you’ll be doing:
- Onboard new clients to the Chattermill platform by analysing large, unstructured data sets and creating robust data taxonomies that form the foundation for our machine learning models.
- Provide client support by troubleshooting issues that arise in model performance (such as data shifts) that may require alterations to data taxonomies or models.
- Develop and share best practices for working with data and improving data quality across the organisation.
- Optimise and implement solutions that help streamline internal processes and drive scalability.
- Contribute to research and development in collaboration with our Data Science and Product Teams.
What you’ll need:
- A passion for working with data and uncovering patterns in unstructured information.
- Experience collaborating with end users as well as both technical and commercial teams.
- Excellent communication skills and confidence in participating in client-facing calls.
- A strong eye for detail — you notice the nuances that build client trust.
- The ability to work independently while managing multiple priorities effectively.
- Reliability, time management, and organisational skills.
- Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology.
- The ability to translate complex technical concepts for non-technical audiences (and vice versa!).
- Have experience working with Python and SQL.
- Have experience working with both qualitative and quantitative data, for example from a STEM degree.
Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step. Get to know your would-be manager – you’ll have a call with Mariana, our Associate Director of MLOps, to learn more about the role and show off your experience. Show us how you work – you’ll complete a short take-home assignment. Get to know your would-be team – You’ll meet with Mariana and Aji, our Chief Scientist, who you’ll be working closely with from the Data Science team. How our values and your career goals align – you’ll have a call with our co-founder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth.
We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. We believe in the power of trust – Whether it’s with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. We act as responsible owners – Whether it’s about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. We set our ambitions high but stay humble – We’ve come together to build a product and a category that’s never been seen before. While we’re an ambitious bunch with lofty goals, we don’t approach this goal carelessly. We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today!
Diversity & Inclusion
We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply!
Seniority level: Entry level. Employment type: Full-time. Job function: Analyst. Industries: Software Development.
Operations Analyst - Machine Learning employer: Chattermill
Contact Detail:
Chattermill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operations Analyst - Machine Learning
✨Tip Number 1
Get your networking game on! Reach out to people in the industry, especially those who work at Chattermill or similar companies. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for those interviews like a pro! Research the company, understand their mission, and think about how your skills align with their needs. Practise answering common questions and be ready to showcase your passion for data and AI.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After interviews, send a quick thank-you note to express your appreciation. It shows you’re genuinely interested and keeps you fresh in their minds.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team. Don’t wait – take that step today!
We think you need these skills to ace Operations Analyst - Machine Learning
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Operations Analyst role. Highlight your experience with data, Python, and SQL, and show us how your skills align with our mission at StudySmarter.
Show Your Passion for Data: We love candidates who are genuinely excited about working with data! Share examples of how you've uncovered patterns in unstructured information or improved data quality in your previous roles.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We want to see your communication skills shine through, especially since you'll be interacting with clients!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Chattermill
✨Know Your Data
As an Operations Analyst focusing on Machine Learning, it's crucial to brush up on your data skills. Familiarise yourself with the types of unstructured data you might encounter and think about how you would approach analysing it. Be ready to discuss your experience with Python and SQL, as well as any relevant projects you've worked on.
✨Show Off Your Communication Skills
You'll be collaborating with both technical and commercial teams, so practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated with clients or team members in the past. This will demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Prepare for Problem-Solving Scenarios
Expect to tackle some real-world problems during your interview. Think about potential issues that could arise with model performance and how you would troubleshoot them. Being able to articulate your thought process will show your analytical skills and reliability.
✨Align with Company Values
Chattermill values trust, growth, and collaboration. Reflect on how your personal values align with theirs and be prepared to discuss this during your interviews. Share experiences that highlight your passion for customer experience and your commitment to continuous improvement.