senior data scientist

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a project with one of our prestigious customers in UAE.
 
 
 We are seeking a highly capable Senior Data Scientist expert to help TMC to deliver this assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior Data Scientist
 
 
 Location: Abu Dhabi
 
 
 Experience: 8+ Years
 
 
 Preferred: Western &amp; Diverse candidates
 
 
 
 
 
 Technical Requirements
 
 
 ● Core AI/ML: Expert proficiency in Python and standard ML libraries (TensorFlow/PyTorch,
 
 
 Scikit-learn, Pandas, NumPy). Strong grasp of both supervised and unsupervised learning
 
 
 techniques.
 
 
 ● NLP &amp; LLMs: Deep experience with transformer-based models (GPT, BERT, Llama) and
 
 
 prompt engineering techniques (few-shot learning, fine-tuning) for domain-specific tasks.
 
 
 ● Data Engineering: Proficiency in handling complex data structures (JSON, XML) and
 
 
 familiarity with database querying (SQL/NoSQL) or graph data structures. Experience with
 
 
 data extraction from specialized formats is a significant plus.
 
 
 ● Backend Awareness: Understanding of how to expose models via RESTful APIs
 
 
 (Flask/FastAPI) and integrate them into larger software architectures.
 
 
 ● Statistics: Solid understanding of statistics, probability distribution, A/B testing. Adept at
 
 
 identifying and mitigating biases in datasets.
 
 
 
 
 
 Professional Qualifications
 
 
 ● Experience: 5+ years of experience in Data Science or Machine Learning, with a proven
 
 
 track record of deploying models into production environments.
 
 
 ● Domain Adaptability: Ability to quickly grasp complex domain terminology (e.g.,
 
 
 construction regulations, defense standards, supply chain taxonomies) and translate them
 
 
 into logic.
 
 
 ● Structured Delivery: Experience working in structured delivery models
 
 
 (Agile/Sprint-based) while adhering to rigorous validation and verification standards.
 
 
 ● Collaboration: Strong communication skills to work effectively with Domain Experts,
 
 
 Backend Engineers, and Product Managers to align model outputs with real-world
 
 
 business logic.
 
 
 
 
 
 Please share your CV with the title of
 
 Senior Data Scientist
 
 
 
 Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com
 
</div>

Senior Data Scientist

Data Idols

<div><h2 class="jobSectionHeader">Senior Data Scientist</h2>
<h3 class="jobSectionHeader">Salary: &pound;85K &ndash; &pound;95K</h3>
<h3 class="jobSectionHeader">Location: London (Hybrid &ndash; 3 days per week)</h3>

Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale.

Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they&rsquo;re now looking for a Senior Data Scientist to own one of the most important parts of the company.
<h3 class="jobSectionHeader">
The Opportunity</h3>

This isn&rsquo;t a role where you&rsquo;ll optimise an existing model or become another specialist in a large data science team.

You&rsquo;ll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you&rsquo;ll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer.

You&rsquo;ll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes.

Working alongside highly experienced founders and recognised experts in machine learning, you&rsquo;ll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one.

This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business.
<h3 class="jobSectionHeader">
Skills &amp; Experience</h3>
<ul><li>Strong commercial experience building machine learning models in Python</li>
<li>Excellent understanding of predictive modelling, classification or propensity modelling</li>
<li>Experience with feature engineering, model evaluation and experimentation</li>
<li>Comfortable working across the full machine learning lifecycle</li>
<li>Experience working with cloud platforms and modern ML tooling</li>
<li>Curious and analytical mindset</li>
</ul>
If you&rsquo;re looking for a role where you&rsquo;ll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we&rsquo;d love to hear from you.
<h2 class="jobSectionHeader">
Senior Data Scientist</h2></div><div></div>

Hiscox

<div>
 
 Job Type
 
 
 
 Permanent
 
 
 
 Build a brilliant future with Hiscox
 
 
 
 
 Position: Senior Data Scientist
 
 
 
 
 Reporting to:
 
 Lead Data Scientist
 
 
 
 Location:
 
 London
 
 
 
 Type:
 
 Permanent
 
 
 As a Senior Data Scientist at Hiscox, you will take on a high-impact role, acting as a critical thinker and problem solver for the business. You&rsquo;ll apply your core technical skills and innovative thinking to tackle complex challenges, identify opportunities, and help shape data-driven decision-making across the London Market.
 
 
 You&rsquo;ll operate across a wide variety of business functions, managing multiple priorities and delivering both ad hoc analysis and predictive/prescriptive models. Your work will contribute directly to building Hiscox&rsquo;s data culture and enabling evidence-based decisions in a fast-paced, evolving environment. Communicating the business value of your analytical solutions to stakeholders will be a key part of your role.
 
 
 You&rsquo;ll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market&rsquo;s first AI-enhanced lead underwriting solution. This achievement reflects the team&rsquo;s commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges.
 
 
 As a Data Scientist, you&rsquo;ll work within a wider technical team whose efforts span multiple business functions, bringing a multi-disciplinary approach to problem solving and analysis.
 
 
 This is an ideal role for someone who is passionate about using analytics to influence decisions and is keen to continue learning and delivering value through data. You&rsquo;ll be expected to conceptualise new approaches, communicate your vision clearly to stakeholders, and see ideas through to implementation.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Leveraging industry standards, past experience, emerging methodologies and empirical research to develop critical inputs to business information and helping business leaders develop innovative approaches to driving their business.
 </li>
 <li>
 Working on the end-to-end data solution including understanding complex business challenges, designing scientific solutions, working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights
 </li>
 <li>
 Work collaboratively with data scientists, data engineers and other technical people including pricing and underwriting teams in order to help support maturation of analytics practice within the organisation.
 </li>
 <li>
 Work closely with other members of the data and analytics community at Hiscox, contributing to delivering value though the use of a range of analytics techniques.
 
 
 
 </li>
 </ul>
 
 Person Specification
 
 
 
 <ul>
 <li>
 Degree in a STEM or closely related field or equivalent experience. A further degree is a plus.
 </li>
 <li>
 Deep data science experience with a history of influencing decisions and delivering solutions that create tangible business value.
 </li>
 <li>
 Experience of data science in finance or insurance is an advantage but not required.
 </li>
 <li>
 Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task.
 </li>
 <li>
 Familiarity with version control, agile working and other IT delivery tools is required
 
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience.
 </li>
 <li>
 Experience with analytical tools / programming languages and databases (for example: Python, R, SQL).
 </li>
 <li>
 Experience with large language models and prompting, GCP experience is a plus.
 </li>
 <li>
 Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning.
 </li>
 <li>
 A particular interest in natural language processing or machine vision.
 </li>
 <li>
 A strong grasp of foundational statistics is essential.
 </li>
 <li>
 Experience working both in small teams and independently on analytics projects.
 </li>
 <li>
 Strong verbal and written communications skills and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal stakeholders.
 </li>
 <li>
 Willingness to learn best practice in software development.
 </li>
 <li>
 Knowledge of insurance is an advantage but not essential.
 
 
 
 </li>
 </ul>
 
 Apply now for further information
 
 
 
 
 Work with amazing people and be part of a unique culture
 
</div>

Compare The Market

<div>Senior Data Scientist
Function: Data &amp; AI Solutions
 
Location: Hybrid, London or Peterborough office 
Curious about what&rsquo;s next?
 
So are we. Join Compare the Market and help to make financial decision making a breeze for millions.
At Compare the Market, we&rsquo;re a purpose-driven business powered by tech and AI. We&rsquo;re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.
We&rsquo;ve carved a meerkat-shaped niche and we&rsquo;re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you&rsquo;ll fit right in. 
We&rsquo;d love you to be part of our journey.
Compare the Market is shifting from a business that answers data questions to one that builds the intelligence powering our AI platform - signals detected, decisions shaped, actions triggered.
As a Senior Data Scientist in Data &amp; AI Solutions, you will lead the design and build of models and pipelines at the heart of our AI platform - from understanding how hundreds of insurance partners price risk, to predicting which customers need a better deal, to powering personalisation. Your job is to build the systems that surface answers that don&rsquo;t yet exist in the data.
We want someone who thinks in systems, with curiosity across the modern data science stack and depth in at least one area. We are actively developing agentic AI and want a Senior Data Scientist ready to deepen their expertise and contribute from a specific angle.
You will lead by doing, raising the bar for those around you and working closely with ML engineering, product, and commercial colleagues. 
Some of the great things you'll be doing:
<ul><li>Lead ML and analytics initiatives end-to-end, from exploration through to deployment and monitoring, collaborating with ML Engineers on productionisation
</li><li>Translate business and customer problems into structured, measurable ML solutions
</li><li>Design and interpret experiments and A/B tests with scientific rigour
</li><li>Champion responsible, auditable AI - owning model performance in production, knowing when a system is degrading and how to address it, in a regulated financial services environment where precision and explainability matter
</li><li>Navigate the tooling landscape: knowing when classical ML is right, when an LLM adds value, when an agentic approach is needed
</li><li>Work with commercial, product, and engineering colleagues to scope and prioritise work, communicating outcomes clearly
</li>Mentor junior data scientists and contribute to standards across the wider Data &amp; AI Solutions chapter 
<li>
</li></ul>What we'd like to see from you:
The Essentials
<ul><li>Proven experience delivering ML solutions with measurable business impact
</li><li>Strong Python and modelling fundamentals - supervised and unsupervised methods, statistical analysis, feature engineering
</li><li>A track record of taking models to production and owning their performance: monitoring, degradation, retraining
</li><li>Ability to collaborate effectively with engineering teams on deployment and ML lifecycle
</li>Clear communication - able to make technical work legible to commercial and product audiences 
<li>
</li></ul>Highly Valued
<ul><li>Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such as LangChain or LangGraph
</li><li>Familiarity with multi-step agentic AI patterns
</li><li>Experience in financial services or another regulated sector
</li><li>MLflow, model registries, or similar ML lifecycle tooling
</li>Exposure to cloud ML platforms - GCP Vertex AI, AWS SageMaker, or equivalent 
<li>
</li></ul>Why Compare the Market?
We&rsquo;re a business built for pace and performance. Here, you&rsquo;ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.
We believe diverse teams make better decisions, and we&rsquo;re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.
If you&rsquo;re ready to stretch yourself, raise the bar, and grow with a team that&rsquo;s serious about performance, innovation, and purpose, we&rsquo;d love to hear from you.</div>

<div>Senior Data Scientist
Function: Data &amp; AI Solutions 
Location: Hybrid, London or Peterborough office 
Curious about what&rsquo;s next? 
So are we. Join Compare the Market and help to make financial decision making a breeze for millions.
At Compare the Market, we&rsquo;re a purpose-driven business powered by tech and AI. We&rsquo;re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.
We&rsquo;ve carved a meerkat-shaped niche and we&rsquo;re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you&rsquo;ll fit right in. 
We&rsquo;d love you to be part of our journey.
Compare the Market is shifting from a business that answers data questions to one that builds the intelligence powering our AI platform - signals detected, decisions shaped, actions triggered.
As a Senior Data Scientist in Data &amp; AI Solutions, you will lead the design and build of models and pipelines at the heart of our AI platform - from understanding how hundreds of insurance partners price risk, to predicting which customers need a better deal, to powering personalisation. Your job is to build the systems that surface answers that don&rsquo;t yet exist in the data.
We want someone who thinks in systems, with curiosity across the modern data science stack and depth in at least one area. We are actively developing agentic AI and want a Senior Data Scientist ready to deepen their expertise and contribute from a specific angle.
You will lead by doing, raising the bar for those around you and working closely with ML engineering, product, and commercial colleagues. 
Some of the great things you'll be doing:<ul><li>
Lead ML and analytics initiatives end-to-end, from exploration through to deployment and monitoring, collaborating with ML Engineers on productionisation</li><li>
Translate business and customer problems into structured, measurable ML solutions</li><li>
Design and interpret experiments and A/B tests with scientific rigour</li><li>
Champion responsible, auditable AI - owning model performance in production, knowing when a system is degrading and how to address it, in a regulated financial services environment where precision and explainability matter</li><li>
Navigate the tooling landscape: knowing when classical ML is right, when an LLM adds value, when an agentic approach is needed</li><li>
Work with commercial, product, and engineering colleagues to scope and prioritise work, communicating outcomes clearly</li><li>
Mentor junior data scientists and contribute to standards across the wider Data &amp; AI Solutions chapter</li></ul> 
What we'd like to see from you:
The Essentials<ul><li>
Proven experience delivering ML solutions with measurable business impact</li><li>
Strong Python and modelling fundamentals - supervised and unsupervised methods, statistical analysis, feature engineering</li><li>
A track record of taking models to production and owning their performance: monitoring, degradation, retraining</li><li>
Ability to collaborate effectively with engineering teams on deployment and ML lifecycle</li><li>
Clear communication - able to make technical work legible to commercial and product audiences</li></ul> 
Highly Valued<ul><li>
Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such as LangChain or LangGraph</li><li>
Familiarity with multi-step agentic AI patterns</li><li>
Experience in financial services or another regulated sector</li><li>
MLflow, model registries, or similar ML lifecycle tooling</li><li>
Exposure to cloud ML platforms - GCP Vertex AI, AWS SageMaker, or equivalent</li></ul> 
Why Compare the Market?
We&rsquo;re a business built for pace and performance. Here, you&rsquo;ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.
We believe diverse teams make better decisions, and we&rsquo;re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.
If you&rsquo;re ready to stretch yourself, raise the bar, and grow with a team that&rsquo;s serious about performance, innovation, and purpose, we&rsquo;d love to hear from you.</div>

<div><h3 class="jobSectionHeader">About The Role</h3>
We&rsquo;re looking for a talented Senior Data Scientist to join our growing AI Squad within our Technology division, supporting the Rescue and Recovery operations.
As a Senior Data Scientist, you&rsquo;ll play a key role in designing and deploying innovative solutions, working across multiple projects and collaborating with cross-functional teams to turn data into actionable insight and real-world impact.

This is an exciting opportunity to shape the future of roadside operations by applying advanced analytics and machine learning to drive meaningful improvements in operational efficiency and customer experience.

The role is suitable for an individual who brings a strong problem-solving mindset, with a natural curiosity and the ability to approach challenges creatively and analytically. You&rsquo;ll ideally have hands-on experience in experimenting, testing, and trialling new approaches or technologies to validate ideas and drive continuous improvement.

This is a hybrid role, working 2 days a week from our Bradley Stoke office and 3 days a week from home offering flexibility while being part of a dynamic and supportive team.

We offer more than a job. We offer a career with purpose.

As a Senior Data Scientist at RAC, you&rsquo;ll get benefits that go the extra mile
<ul><li>Earnings That Motivate &ndash; enjoy a competitive salary plus automatic enrolment in our &lsquo;Owning It Together&rsquo; Colleague Share Scheme - a unique opportunity to share in RAC&rsquo;s future success and be rewarded for the exceptional work you deliver.</li></ul>
<ul><li>Tools to Drive Your Future &ndash; get started with a free RAC Ultimate Complete Breakdown Service from day one, plus access to a car salary sacrifice scheme (including electric vehicle options) after 12 months, delivering serious tax savings.</li></ul>
<ul><li>Time Off That Matters &ndash; enjoy 25 days annual leave, plus bank holidays. We also support work-life balance with paid family leave, flexible schedules, and practical resources to help navigate personal commitments.</li></ul>
<ul><li>Financial Security &amp; Perks &ndash;pension scheme with up to 6.5% matched contributions alongside life assurance cover up to 4x salary (10x optional with flex benefits), designed to support you long-term.</li></ul>
<ul><li>Wellbeing That Works for You &ndash; our 24/7 confidential support service is available to you and household members aged 16+, offering reassurance whenever you need it.</li></ul>
<ul><li>Extras That Make a Difference - access Orange Savings, our exclusive discount portal with deals across top retailers, holidays, tools, tech and more. After passing probation, you&rsquo;ll automatically join our Colleague Share Scheme, giving you a stake in our collective success.</li></ul> 


How We Work

We take a production-first approach to data science, with a strong focus on delivering measurable outcomes:
<ul>
<li>End-to-end ownership from exploration to production deployment</li>
<li>Close collaboration with Data Engineering and Software teams</li>
<li>CI/CD pipelines and version-controlled experimentation</li>
<li>Model monitoring, evaluation, and continuous improvement</li>
<li>Cloud-native development using Azure
We prioritise building robust, scalable solutions, not just prototypes.
What you&rsquo;ll do
</li><li>Analyse historical and real-time data to identify trends, inefficiencies, and optimisation opportunities</li>
<li>Develop and deploy cutting-edge machine learning models, with a focus on operational performance and resource optimisation</li>
<li>Enhance real-time decision-making through advanced analytics and AI solutions</li>
<li>Collaborate with Data Engineering teams to ensure high-quality data pipelines and model readiness</li>
<li>Partner with Product Managers and Software Engineers to integrate models into production systems</li>
<li>Validate, monitor, and continuously improve models based on business feedback</li>
<li>Communicate insights clearly to stakeholders, translating complex data into business value</li>
<li>Contribute to code quality through reviews and maintain well-documented, scalable solutions</li>
<li>Stay up to date with emerging trends in machine learning, AI, and cloud technologies (particularly Azure)</li>
<li>Support the development of data science best practices and standards across the organisation</li>
</ul>
AI &amp; LLM Applications

We are actively exploring and deploying LLM-based solutions, such as:
<ul>
<li>Intelligent triage support tools for customer interactions</li>
<li>Knowledge retrieval systems for operational teams</li>
<li>Automated insight generation and decision support</li>
</ul>
You&rsquo;ll help shape how generative AI is applied in a practical, high-impact environment.

What you&rsquo;ll need
<ul>
<li>Hands-on experience with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit-learn)</li>
<li>Strong Python skills for data analysis, modelling, and development</li>
<li>Experience working with large language models (LLMs), including prompt engineering, fine-tuning, and evaluation</li>
<li>Solid SQL and Snowflake knowledge, with experience working on relational databases</li>
<li>Understanding of version control (e.g. Git) and exposure to MLOps practices</li>
<li>Experience working with cloud platforms, ideally Azure</li>
<li>Strong problem-solving skills and the ability to evaluate a range of solution approaches</li>
<li>Excellent communication skills, with the ability to present technical concepts to non-technical audiences</li>
<li>Experience working in Agile environments</li>
</ul><ul><li>Degree in Engineering, Sciences, Data Science, Statistics, or a related field</li> 
</ul>
Why RAC?

For more than 128 years, we&rsquo;ve been keeping drivers moving, and today we&rsquo;re trusted by over 15 million members. We&rsquo;re also trusted by our people, with a 4.5-star Glassdoor rating showing that RAC is a place where support, ambition, and opportunity go hand in hand.

We welcome people from every background, value every voice, and back your growth every step of the way. At the RAC, you can bring your full self to work and we&rsquo;ll be with you every step of the way to help you grow and develop your career.

Ready to make a difference? Your next career move starts here.</div>

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