At a Glance
- Tasks: Craft predictive models that drive key business decisions in finance, operations, and sales.
- Company: Join a forward-thinking company focused on data-driven strategies.
- Benefits: Competitive salary, mentorship opportunities, and hands-on ownership of projects.
- Other info: Dynamic role with opportunities for project leadership and collaboration.
- Why this job: Shape enterprise-level decision-making with cutting-edge machine learning techniques.
- Qualifications: Expertise in gradient boosting frameworks and strong forecasting experience required.
The predicted salary is between 100000 - 120000 £ per year.
Are you ready to turn advanced machine learning into real business impact? Our client is seeking a high-performing Data Scientist to craft cutting-edge predictive models that influence key decisions across finance, operations, and sales. This is a rare opportunity to take full ownership of model design—shaping the strategy behind revenue forecasting, margin optimization, and customer behaviour trends.
Benefits & Extras
- Hands-on ownership of advanced forecasting initiatives
- Collaborate with forward-thinking finance and strategy teams
- Mentorship and project leadership opportunities
- A chance to directly shape enterprise-level decision-making
- Compensation: $130K
What You’ll Be Doing
- Designing and optimizing gradient boosting ML models (XGBoost, LightGBM, CatBoost)
- Delivering high-accuracy financial and operational forecasts
- Engineering and tuning robust, interpretable models with open-source tools
- Using internal + external datasets, including macroeconomic indicators
- Translating insights via Power BI/Tableau dashboards and stakeholder presentations
- Collaborating closely with finance, ops, and analytics leaders
- Applying modeling best practices like version control and performance testing
What You’ll Need to be Considered
- Must be local to Birmingham
- Demonstrated expertise with gradient boosting frameworks (XGBoost, LightGBM, etc.)
- Strong experience forecasting KPIs like sales trends, AR, and working capital
- Comfort building from scratch using open-source ML tools and Python or R
- Ability to translate complex models into actionable insight
- Exposure to data visualization tools (Power BI preferred)
- Experience leading modeling projects or mentoring others
Data Scientist in Birmingham employer: ITAC Solutions
Join a dynamic and supportive team as a Loan Officer Trainee, where your growth is our priority. With a strong promote-from-within culture, you will benefit from comprehensive company-paid training and licensing, alongside a clear path to permanent employment with uncapped earning potential. Enjoy a hybrid work schedule, a collaborative environment, and the opportunity to thrive in a rewarding financial services career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Birmingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt for opportunities. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best predictive models and visualisations. This will not only impress potential employers but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Brush up on common data science interview questions and be ready to explain your thought process behind model design and forecasting. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Apply through our website! We’ve got a range of exciting roles waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Data Scientist in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with gradient boosting frameworks and any relevant projects you've led. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can make an impact at StudySmarter. Be sure to mention specific examples of your work with predictive models.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in Python or R, as well as your experience with data visualisation tools like Power BI. We love seeing candidates who can translate complex data into actionable insights!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Good luck!
How to prepare for a job interview at ITAC Solutions
✨Know Your Models Inside Out
Make sure you can discuss gradient boosting frameworks like XGBoost, LightGBM, and CatBoost in detail. Be prepared to explain how you've used these models in past projects, including the challenges you faced and how you overcame them.
✨Showcase Your Forecasting Skills
Bring examples of your work forecasting KPIs such as sales trends or working capital. Be ready to discuss the methodologies you used and how your forecasts impacted business decisions.
✨Visualisation is Key
Familiarise yourself with Power BI or Tableau, as you'll need to translate complex data insights into clear visual presentations. Prepare a few examples of dashboards you've created and be ready to explain your design choices.
✨Collaboration is Crucial
Highlight your experience working with finance, operations, and analytics teams. Share specific instances where your collaboration led to successful outcomes, demonstrating your ability to communicate complex ideas effectively.
