At a Glance
- Tasks: Transform innovative ML models into production-ready solutions and lead impactful projects.
- Company: Join Anaplan, a leader in AI-driven business decision-making.
- Benefits: Enjoy competitive pay, diverse culture, and opportunities for personal growth.
- Other info: Be part of a dynamic team that celebrates diversity and innovation.
- Why this job: Make a real difference by optimising decision-making for top global companies.
- Qualifications: Experience in machine learning and strong problem-solving skills required.
The predicted salary is between 59400 - 72600 £ per year.
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50.
Coca-Cola, Linked In, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators.
We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebratingour wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here.
Everything that makes you unique is welcome; join us and let’s build what’s next - together!
We're hiring a Machine Learning Engineer to take forecasting, optimization and clustering models from research into production.
You'll partner closely with data scientists to ship new models, while hardening and scaling the pipelines we already run, including consolidating several forecasting systems into a shared backend.
You'll work independently on well-scoped problems and lead projects end to end, from design doc to deployment.
- Your Impact Research to
- Production: Partner with the Data Science R
Senior ML Engineer employer: Anaplan
Anaplan is an exceptional employer that fosters a Winning Culture, where innovation and collaboration thrive. Located in London, we offer a dynamic work environment that champions diversity and provides ample opportunities for professional growth, ensuring that every employee feels valued and inspired to contribute to our mission of transforming business decision-making. With a commitment to inclusivity and a focus on celebrating achievements, Anaplan is the perfect place for those looking to make a meaningful impact while advancing their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Anaplan!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior ML Engineer at Anaplan.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Anaplan.
✨Apply Directly through Our Website
When you find a suitable opening like Senior ML Engineer at Anaplan, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior ML Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Anaplan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Anaplan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Anaplan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Anaplan!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
