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- Tasks: Create predictive models for insurance pricing optimisation using advanced data science techniques.
- Company: Join DataObrii, a cutting-edge consulting firm in data science and AI.
- Benefits: Competitive salary, professional mentorship, and opportunities for continuous learning.
- Other info: Work in an agile setting with a focus on creativity and efficiency.
- Why this job: Make a real impact with innovative solutions in a dynamic, collaborative environment.
- Qualifications: Proficiency in Python, machine learning, and experience with relevant data science libraries.
The predicted salary is between 30000 - 48000 £ per year.
This is a very interesting project focused on pricing optimisation for insurance companies, using an ensemble of predictive models. The tech stack includes: pandas, numpy, PyTorch, SHAP, and scikit-learn.
We are looking for candidates with experience in building predictive models for time series, strong attention to detail, and a continuous desire to improve and expand their machine learning skills.
Responsibilities- Create statistical summaries to support hypothesis testing and data-driven decisions during EDA.
- Implement data preparation and feature engineering pipelines for the models.
- Plan and implement algorithms for predictive modeling.
- Provide continuous improvement of models in production.
- Lead the ML-driven python coding for end-to-end model deliveries, support our ML-related libraries.
- Collaborate with a cross-functional team of specialists, including senior and junior data scientists, Python developers and ML engineers, data analysts, and DevOps specialists.
- Provide expertise in tuning loss functions, metrics, sample weights adjustment, hyperparameter tuning and model improvement in general.
- Generate detailed evaluation reports, summarising key findings and presenting actionable insights to stakeholders.
- Keep up with tight deadlines, agile environment of work with evolving objectives and KPIs, having the highest level of organization and self-management to provide full work clarity, extensive tracking and documentation of your work.
- Competitive remuneration package.
- Professional mentorship and guidance from experienced team members.
- Opportunities for professional growth and continuous learning.
- A dynamic and collaborative work environment.
- Proficiency in Python and machine learning.
- Experience with GitHub, Power BI, and Python tools.
- Familiarity with relevant data science libraries such as pandas, numpy, scikit-learn, and PyTorch.
- Strong analytical skills and attention to detail.
- Ability to work in an agile environment and meet tight deadlines.
About Us DataObrii is a high-tech consulting firm specializing in data science, machine learning, and AI-augmented Internet of Things. Our team comprises experienced data scientists, python engineers, devops, hardware electrical engineers, and business analysts dedicated to delivering innovative, data-driven solutions that enhance business intelligence and efficiency. We emphasise continuous improvement, keeping up with current and emerging technologies, and delivering complete timely, effective solutions.
Our Values:- Efficiency – We employ an agile approach to ensure timely delivery of high-quality solutions.
- Professionalism – Our commitment to excellence drives us to achieve success for our clients.
- Creativity – We utilize design thinking to develop innovative solutions that address complex business challenges.
- Care – We invest time in understanding our clients' business models to provide tailored solutions that align with their objectives.
27.04.2026 DataObrii Data Scientist 2500 - 4000$ London employer: BazaIT
Contact Detail:
BazaIT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 27.04.2026 DataObrii Data Scientist 2500 - 4000$ London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and data analysis projects. This is your chance to demonstrate your expertise with tools like pandas and PyTorch, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your past projects and how you tackled challenges, especially in an agile environment.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace 27.04.2026 DataObrii Data Scientist 2500 - 4000$ London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with predictive models and the tech stack mentioned in the job description. We want to see how your skills align with our needs, so don’t be shy about showcasing your relevant projects!
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 contribute to our team. We love seeing candidates who are eager to learn and grow, so let that enthusiasm come through.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving time series or machine learning, make sure to mention them. We appreciate candidates who can demonstrate their hands-on experience and problem-solving skills.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at BazaIT
✨Know Your Tech Stack
Familiarise yourself with the tools mentioned in the job description, like pandas, numpy, and PyTorch. Be ready to discuss how you've used these libraries in your previous projects, especially in building predictive models.
✨Showcase Your Analytical Skills
Prepare examples that highlight your strong analytical skills and attention to detail. Think of specific instances where you created statistical summaries or implemented data preparation pipelines that led to successful outcomes.
✨Demonstrate Continuous Learning
Express your desire to improve and expand your machine learning skills. Share any recent courses, certifications, or projects that showcase your commitment to staying updated with the latest technologies and methodologies in data science.
✨Be Agile and Organised
Since the role requires working in an agile environment, be prepared to discuss how you manage tight deadlines and evolving objectives. Highlight your organisational skills and any tools you use for tracking and documenting your work.