Senior Data Scientist

🕒 April 29

🏢🏡 London – Hybrid

⏰ Full Time

🟠 Senior

📊 Data Scientist

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IMS

WebsiteLinkedInAll Job Openings

51 - 200 employees

IMS is a vehicle and driving data business delivering connected solutions to global insurers, mobility operators and governments. Our People-Powered Technology™ enables innovative risk-based pricing, customer engagement, behavioral modification and claims management, supported by our unrivalled industry experience and proven customer success. With offices in the UK, Europe and North America, IMS captures and analyzes over 1 billion kilometers, 22 million driving hours and 80 million trips per month through our fully data-source agnostic IMS DriveSync® platform. More info at: www.ims.tech

📋 Description

• Develop, train, and deploy machine learning models for risk scoring, behavioural analytics, fraud detection and extreme event detection. • Optimise feature engineering, model performance, and real-time inference pipelines for large-scale datasets. • Work on supervised, unsupervised, and reinforcement learning models to enhance decision-making. • Leverage telematics, mobility, and insurance data to generate actionable insights and product improvements. • Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and business opportunities. • Ensure robustness and scalability of data science pipelines, minimising bias and improving accuracy. • Work with big data processing frameworks (Spark, AWS, Azure) to scale data pipelines. • Ensure efficient data wrangling, transformation, and feature selection using Python, SQL, and distributed computing. • Optimise data workflows and cloud-based machine learning architectures, ensuring efficiency and performance. • Directly work with customers and partners. • Prepare and deliver presentations, translating data science capabilities into real-world applications. • Collaborate with Software Engineers to deploy models via APIs, microservices, or cloud environments. • Collaborate with the wider Engineering team to integrate machine learning models into production-grade systems. • Stay ahead of emerging AI, ML, and data science trends, integrating innovative techniques into IMS solutions. • Contribute to research papers, patents, and industry collaborations, positioning IMS as a thought leader in data science.

🎯 Requirements

• 5+ years of experience in data science, machine learning, or AI model development. • Expertise in Python, R, or Julia, with proficiency in pandas, NumPy, SciPy, scikit-learn, TensorFlow, or PyTorch. • Experience with SQL, NoSQL, and big data technologies (Spark, Hadoop, Snowflake, Databricks, etc.). • Strong background in statistical modelling, probability theory, and mathematical optimisation. • Experience deploying machine learning models to production (MLOps, Docker, Kubernetes, etc.). • Familiarity with AWS/GCP/Azure cloud ML platforms for scalable model training and inference. • Strong problem-solving, communication, and business acumen skills.

🏖️ Benefits

• Flexible remote working options. • Flexible holiday scheme (unlimited vacation) to really make the most of your time and wellbeing. • 'Work From Anywhere' Policy - work almost anywhere in the world for 30 days per year! • Employee Assistance Program and an enhanced maternity/paternity package. • Funded training opportunities. • Auto-Enrolment Pension & Private Medical Insurance. • Cycle to Work and Car Maintenance Salary Sacrifice discounts! • Kudos Hub - a peer-to-peer recognition system, where you can recognise others using points.