At a Glance
- Tasks: Build and improve pricing models using Python in a dynamic ML team.
- Company: Innovative insurtech company with a strong focus on machine learning.
- Benefits: Competitive salary, bonus, hybrid work, and career growth opportunities.
- Other info: Exciting opportunity for career progression as the team expands.
- Why this job: Join a supportive team and make a real impact in the insurance industry.
- Qualifications: Strong Python skills and experience in pricing analytics or ML engineering.
The predicted salary is between 60750 - 74250 £ per year.
If you’re a pricing data scientist who wants to lean harder into ML (or you’re an ML engineer who enjoys commercial, real-world modelling), this is one of those roles where Python is central to everything. You’ll join a high-performing ML team (4 ML engineers today) with genuine buy-in from the wider business and a strong pipeline of interesting work. The team is growing, and so is the opportunity to step up.
What you’ll be doing:
- Building and improving pricing models using Python
- Working on GLMs and GBMs (this is not an LLM/neural-network role)
- Translating model outputs into decisions that move the needle commercially
- Collaborating closely with ML engineers, pricing, and stakeholders across the business
- Helping shape how the team scales as hiring continues
Why this role stands out:
- Python-first environment with meaningful engineering/ML focus
- Huge internal support for ML and analytics
- A team that’s already established, but still early enough for you to have real influence
- Clear career progression as the function expands over the next 12–24+ months
What they’re looking for:
- Strong Python and experience delivering models into production or production-like settings
- Background in pricing analytics / data science / ML engineering
- Comfortable with GLMs/GBMs and rigorous modelling practices
- A career-focused person who wants to grow with a scaling team
Location: Manchester (Hybrid — 2 days/week in office, moving to 3 days/week soon)
Package: up to £65,000 base + bonus + benefits
Interested? Send your CV for immediate consideration or message me for a confidential chat and full details.
Machine Learning Engineer in Manchester employer: Gerrard White Consulting
Join a pioneering digital legal knowledge service that prioritises work-life balance and offers unparalleled flexibility, including hybrid and fully remote options. As part of a dynamic team in Central London, you'll have the opportunity to shape the future of pensions and trusts law while collaborating with top legal experts and contributing to a rapidly expanding service. With a strong focus on employee growth and development, this role provides a unique chance to enhance your expertise in a supportive and innovative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Manchester
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We think you need these skills to ace Machine Learning Engineer in Manchester
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 Gerrard White Consulting, 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 Gerrard White Consulting. 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 Gerrard White Consulting
✨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!
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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 Gerrard White Consulting!
✨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.
