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HomeCompaniesImstechSenior Data Scientist

Senior Data Scientist

Imstech · Remote · Active · BambooHR

Job facts

FieldValue
CompanyImstech
TitleSenior Data Scientist
Normalized title-
Department / teamEngineering
LocationLondon, Greater London, United Kingdom
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-04-27 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-23

Related slices

PageWhat it containsOpen
Company jobsActive postings from Imstech.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in London.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyImstech
Source013cfbe0-2b80-4973-9ff0-b6e3fd84ad1f
ATS providerBambooHR

Description

Company Overview IMS is a leader in connected car and telematics services. We provide services and analytics to insurers, governments, and enterprises. We are proud to be the developer of the industry-acclaimed, cloud-based connected car platform. From insurers and governments to dealerships and everyday drivers, we’re proud to produce technology that makes driving  - Safer. Smarter. Greener. Description Our Data Science team works in the telematics space, focusing on driver behaviour modelling and geospatial analytics.  The Senior Data Scientist will be responsible for developing and implementing advanced data science models, machine learning algorithms, and predictive analytics solutions to drive business insights, product innovation, and operational efficiencies at IMS. This role has been created for an exciting new project where the Senior Data Scientist will have the opportunity to work directly with our insurance partners, drawing data driven insights from large-scale datasets and performing predictive analyses focused on driver safety. This role involves creating clear data visualisations, preparing and delivering impactful presentations to communicate key findings and recommendations. The Senior Data Scientist will work cross-functionally to create scalable, production-ready models that provide value to customers, insurers, and mobility partners. This position requires strong analytical skills, hands-on technical expertise as well as excellent communication and presentation skills. Key Responsibilities Machine Learning & Predictive Analytics 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. Statistical Analysis and Data Modelling 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. Data Engineering and Infrastructure 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. Collaboration and Cross-Functional Partnerships 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. Research and Innovation 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. Key Requirements We know you will have a wide skill set, but to thrive in this role, we think you will need: 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. Why should you join us? 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 We want to see you grow and do great things! We’re committed to your personal and professional development. 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. These points can be collected and redeemed against a huge catalogue of rewards. We’re an innovative technology leader with plans for growth in the global telematics industry. These are some exciting times! *Please note, while we accommodate a remote working environment. This role will involve periodic client visits in the London area.

Full job record

Job IDa4f86cfc9d511c217973c6fa8be55a883d1df6b4
Org IDf41fa375-e91b-4c19-8817-7f1574cd9b26
Source ID013cfbe0-2b80-4973-9ff0-b6e3fd84ad1f
Board ID013cfbe0-2b80-4973-9ff0-b6e3fd84ad1f
Providerbamboohr
Provider Job Key204
TitleSenior Data Scientist
Normalized Title
Statusactive
Activeyes
Location Text
DepartmentEngineering
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited Kingdom
RegionGreater London
CityLondon
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://imstech.bamboohr.com/careers/204
Apply URLhttps://imstech.bamboohr.com/careers/204
First Seen At2026-05-30 05:37:32Z
Last Seen At2026-06-23 10:03:36Z
Last Checked At2026-06-23 10:03:36Z
Last Changed At2026-05-30 05:37:32Z
Inactive At
Source Posted At2026-04-27 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=imstech/date=2026-06-23/2026-06-23T10-03-35-593Z-8c220ab5b836fece9121f51394eb4e90fa05f703e0d97493e43063f758c401b2.json
Event Fields
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    "description": "<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Company Overview</span></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">IMS is a leader in connected car and telematics services. We provide services and analytics to insurers, governments, and enterprises. We are proud to be the developer of the industry-acclaimed, cloud-based connected car platform. From insurers and governments to dealerships and everyday drivers, we’re proud to produce technology that makes driving  - Safer. Smarter. Greener.</span><br><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Description</span></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Our Data Science team works in the telematics space, focusing on driver behaviour modelling and geospatial analytics.</span></span><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span> The Senior Data Scientist will be responsible for developing and implementing advanced data science models, machine learning algorithms, and predictive analytics solutions </span></span><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>to drive business insights, product innovation, and operational efficiencies at IMS.<br><br></span></span><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>This role has been created for an exciting new project where the Senior Data Scientist will have the opportunity to work directly with our insurance partners, drawing data driven insights from large-scale datasets and performing predictive analyses focused on driver safety. This role involves creating clear data visualisations, preparing and delivering impactful presentations to communicate key findings and recommendations.</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"> </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>The Senior Data Scientist will work cross-functionally to create scalable, production-ready models that provide value to customers, insurers, and mobility partners. This position requires strong analytical skills, hands-on technical expertise as well as excellent communication and presentation skills.</span></span><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><br></span></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Key Responsibilities</span></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\"><span>Machine Learning &amp; Predictive Analytics</span></span><span> </span></span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Develop, train, and deploy machine learning models for risk scoring, behavioural analytics, fraud detection and extreme event detection.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Optimise feature engineering, model performance, and real-time inference pipelines for large-scale datasets.</span><span> </span></span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Work on supervised, unsupervised, and reinforcement learning models to enhance decision-making.</span><span> </span></span></li>\n</ul>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"> </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Statistical Analysis and Data Modelling</span><br></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Leverage telematics, mobility, and insurance data to generate actionable insights and product improvements.</span><span> </span></span><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><br></span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and business opportunities.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Ensure robustness and scalability of data science pipelines, minimising bias and improving accuracy.</span><span> </span></span></li>\n</ul>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"> </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Data Engineering and Infrastructure</span><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span> </span></span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Work with big data processing frameworks (Spark, AWS, Azure) to scale data pipelines.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Ensure efficient data wrangling, transformation, and feature selection using Python, SQL, and distributed computing.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Optimise data workflows and cloud-based machine learning architectures, ensuring efficiency and performance.</span><span> </span></span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Collaboration and Cross-Functional Partnerships</span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Directly work with customers and partners. Prepare and deliver presentations, translating data science capabilities into real-world applications.</span><span> </span></span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Collaborate with Software Engineers to deploy models via APIs, microservices, or cloud environments.</span><span> </span></span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Collaborate with the wider Engineering team to integrate machine learning models into production-grade systems.</span></span></li>\n</ul>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"> </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Research and Innovation</span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Stay ahead of emerging AI, ML, and data science trends, integrating innovative techniques into IMS solutions.</span><span> </span></span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Contribute to research papers, patents, and industry collaborations, positioning IMS as a thought leader in data science.</span><span> </span></span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Key Requirements</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><em>We know you will have a wide skill set, but to thrive in this role, we think you will need:<br><br></em></span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>5+ years of experience in data science, machine learning, or AI model development. </span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Expertise in Python, R, or Julia, with proficiency in pandas, NumPy, SciPy, scikit-learn, TensorFlow, or PyTorch. </span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Experience with SQL, NoSQL, and big data technologies (Spark, Hadoop, Snowflake, Databricks, etc.). </span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Strong background in statistical modelling, probability theory, and mathematical optimisation. </span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Experience deploying machine learning models to production (MLOps, Docker, Kubernetes, etc.). </span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Familiarity with AWS/GCP/Azure cloud ML platforms for scalable model training and inference. </span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>Strong problem-solving, communication, and business acumen skills.</span></span></li>\n</ul>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><br></span><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span><span style=\"font-weight: bold\">Why should you join us?<br></span></span></span><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span><br></span></span><br></p>\n<ul>\n<li>Flexible remote working options.</li>\n<li>Flexible holiday scheme (unlimited vacation) to really make the most of your time and wellbeing.</li>\n<li>'Work From Anywhere' Policy - work almost anywhere in the world for 30 days per year!</li>\n<li>Employee Assistance Program and an enhanced maternity/paternity package</li>\n<li>We want to see you grow and do great things! We’re committed to your personal and professional development.</li>\n<li>Funded training opportunities.</li>\n<li>Auto-Enrolment Pension &amp; Private Medical Insurance.</li>\n<li>Cycle to Work and Car Maintenance Salary Sacrifice discounts!</li>\n<li>Kudos Hub - a peer-to-peer recognition system, where you can recognise others using points. These points can be collected and redeemed against a huge catalogue of rewards.</li>\n<li><span style=\"color: rgb(34, 34, 34); font-family: Inter, sans-serif; font-size: 12pt\">We’re an innovative technology leader with plans for growth in the global telematics industry. These are some exciting times!</span><br></li>\n</ul>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><br></span><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span>*Please note, while we accommodate a remote working environment. This role will involve periodic client visits in the London area.</span></span><br></p>",
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