27.04.2026 DataObrii Data Scientist 2500 - 4000$ London

BazaIT; Greater London; On-site; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Competitive remuneration package

Professional mentorship

Opportunities for professional growth

Dynamic work environment

Job summary

BazaIT is seeking a candidate to work on pricing optimization for insurance companies, utilizing predictive models. Key responsibilities include data preparation, model implementation, and collaboration with a diverse team. Candidates should possess strong skills in Python, machine learning, and common data science libraries. A competitive remuneration package and professional mentorship will be provided, alongside opportunities for continuous learning within a dynamic work environment.

Qualifications

• Experience building predictive models for time series.
• Strong organizational and self-management skills.
• Ability to thrive in agile environments.

Responsibilities

• Create statistical summaries for data-driven decisions.
• Implement data preparation and feature engineering pipelines.
• Plan and implement algorithms for predictive modeling.
• Lead the ML-driven Python coding for end-to-end model deliveries.
• Collaborate with cross-functional teams.

Skills

Python and machine learning proficiency

Attention to detail

Analytical skills

Experience with GitHub

Familiarity with data science libraries (pandas, numpy, scikit-learn, PyTorch)

Tools

Power BI

Job description

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, summarizing 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.

Results / KPI

• Competitive remuneration package.
• Professional mentorship and guidance from experienced team members.
• Opportunities for professional growth and continuous learning.
• A dynamic and collaborative work environment.

Requirements

• 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 emphasize 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. This governs fast delivery cycles, quick and efficient solutions, iteratively going from PoC developments to fully enhanced production systems. Professionalism – Our commitment to excellence drives us to achieve success for our clients. This includes both technical and ethical proficiency required from all our employees. 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.