163 Data Scientist jobs in London
Data scientist
Posted 9 days ago
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We are seeking a Data Scientist to join our Data & AI team, supporting internal service delivery transformation projects across Tax and Legal. This role is ideal for someone with deep expertise in Python and Azure, and a passion for building innovative generative AI solutions to solve complex business challenges.
IR 35 Status - Inside
Key Responsibilities
- Design, build, and deploy Python-based AI applications.
- Research and prototype advanced GenAI techniques, including fine-tuning, prompt engineering, RAG, and agentic systems.
- Develop LLM-assisted frameworks and contribute to scalable AI architectures.
- Write clean, maintainable, and well-documented code.
- Implement testing pipelines and evaluation frameworks.
- Collaborate with data scientists, software engineers, and domain experts to deliver high-impact solutions.
- Expert-level Python programming with libraries such as NumPy, Pandas, Scikit-learn, LangChain, LlamaIndex, and Azure AI Foundry.
- Strong experience with Azure and generative AI R&D.
- Practical knowledge of GenAI techniques including prompt orchestration, retrieval methods, and agentic frameworks (e.g., LangGraph, Semantic Kernel Agents).
- Ability to write production-ready code and apply robust quality control.
- Familiarity with software engineering best practices including version control, testing, and deployment.
- Experience building optimized AI workflows.
- Deep understanding of Microsoft Azure AI services.
- Strong data analytics and visualization skills (Excel, Alteryx).
- Awareness of Responsible AI principles.
Data Scientist
Posted today
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Who We Are
Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours.
We are feeding the world’s curiosity!
The Opportunity
As a Data Scientist at Cint you will have the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Identity and Data Solutions products. This includes vendor analysis and onboarding, establishing statistical methodology and modeling standards and development. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an eagerness to learn and contribute to the development and validation of products that align Cint capabilities with the market.
What ou will do
Support research and discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions.
Actively participate in the development and enhancement of our Identity Graph, utilizing statistical and machine learning techniques to improve accuracy.
Drive the onboarding and validation of new data vendors, by establishing statistical methodologies and conducting comprehensive analysis to ensure new data partners meet our quality standards.
Analyze large datasets to identify trends, patterns, and insights, with an emphasis on data quality and reliability.
Respond to ad hoc requests from internal teams and clients, performing analyses and producing summary results.
Collaborate with cross-functional teams to deliver on broader project goals.
Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models.
Support evaluation and validation of both internal and external products to ensure Cint’s success.
Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences.
What we are looking for
Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields.
2 years of experience in a data science and analytics capacity, preferably in market research, or advertising analytics.
Ability to manipulate, analyze, and interpret large data sources independently.
Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more).
Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and their real-world advantages/drawbacks.
Practical experience applying statistical and modeling techniques.
Strong analytical skills with a focus on data validation and accuracy.
Comfortable with learning new methods, tools, and techniques.
Able to complete assigned tasks independently while collaborating on overall project direction and broader project goals
Proficiency in Python (as it relates to statistical analysis and implementing Machine Learning models)
Bonus points if you have
Experience with Identity vendors
Experience in online survey methodologies
Experience in Identity graph methodologies
Ability to write and optimize SQL queries
Experience working with big data technologies (e.g. Spark)
Our Values
Collaboration is our superpower
- We uncover rich perspectives across the world
- Success happens together
- We deliver across borders.
Innovation is in our blood
- We’re pioneers in our industry
- Our curiosity is insatiable
- We bring the best ideas to life.
We do what we say
- We’re accountable for our work and actions
- Excellence comes as standard
- We’re open, honest and kind, always.
We are caring
- We learn from each other’s experiences
- Stop and listen; every opinion matters
- We embrace diversity, equity and inclusion.
More About Cint
We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth.
In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries.
Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (
Data Scientist
Posted today
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Are you passionate about solving complex problems with data? Join a fast-growing tech and software innovation company in the heart of London.
We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth.
Your Responsibilities:
- Data exploration & modelling: Work with large, complex datasets to uncover insights and build scalable predictive models.
- Machine learning development: Design, train, and deploy models for applications.
- Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms.
- Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience.
- Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders.
Requirements:
- Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar.
- Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus.
- Data visualisation: Proficiency in Tableau, Power BI, or similar.
- Problem-solving mindset: Ability to translate complex technical problems into business solutions.
It’s a Bonus If You Have:
- Experience in SaaS, fintech, or software product companies.
- Knowledge of big data frameworks (Spark, Hadoop) or cloud platforms (AWS, GCP, Azure).
- Experience building and deploying models into production.
- A strong interest in AI, automation, and software innovation.
What’s in It for You:
- Impact: Work on products used by thousands of businesses and consumers worldwide.
- Career growth: Join a scaling tech company with clear progression opportunities.
- Collaborative culture: A dynamic team that values innovation, experimentation, and learning.
- Cutting-edge tools: Access to modern data platforms, cloud infrastructure, and MLOps frameworks.
- Competitive package: Salary, bonus, and flexible benefits.
If you’re a driven Data Scientist ready to shape the future of technology and software innovation, we’d love to hear from you.
Apply now and help build smarter, data-driven products that make an impact.
Data Scientist
Posted 4 days ago
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Data Scientist - Bayesian, Python, Pymc
Leading pharmaceutical client now requires a Senior Data Scientist to drive marketing effectiveness via marketing mix modelling and other models.
This role will oversee data collection, extraction, manipulation, analysis and validation ensuring data is ready for modelling.
You will work closely with the Data Science team to build base models according to projec.
WHJS1_UKTJ
Data Scientist
Posted today
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With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme.
Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI.
Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.
What you'll be doing:nAs a Data Scientist in our Defence business unit you will be part of project teams that deliver bespoke algorithms to our clients across the Defence sector. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout.
You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.
Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.
Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.
Who we're looking for:
Proven experience in either a professional data science position or a quantitative academic field
Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe
An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)
A high level of mathematical competence and proficiency in statistics
A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill
An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment
Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience
Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery
What we can offer you:nThe Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.
Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.
Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.
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Data Scientist
Posted today
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is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. Our marketing platform connects brand and performance marketing to drive measurable results across the customer journey. We are expanding our data science efforts and are seeking a talented Data Scientist to join our engineering team. Our platform connects to thousands of publishers and advertisers worldwide, handling millions of requests per second and making billions of decisions. We use the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.nLearn more about our Data Science Team and culture:nTeam: culture: is a remote-friendly company and we are open to candidates located anywhere in the United Kingdom for this position.nWhat You'll Be Doing
Innovate ML algorithms to maximize ROI and advertising performance, ranging from creating new algorithms to improving state-of-the-art methods and applying deep knowledge of classic methods.nWrite production code, collaborating with Data Engineers, to implement novel ML algorithms.nPrototype potential algorithms and pipelines, test them on historical data, and iterate based on insights.nWhat You'll Bring To The Table
Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field; dual degrees are a plus.nAbility to take ambiguously defined tasks and break them down into actionable steps.nComprehensive understanding of statistics, optimization, and machine learning.nProficiency in coding, data structures, and algorithms.nEnjoy working in a friendly, collaborative environment with others.nStackAdapt's Benefits
Highly competitive salary + commission structurenRRSP/401K matchingn3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays offnAccess to a comprehensive mental health care platformnHealth benefits from day one of employmentnWork from home reimbursementsnOptional global WeWork membership for those who want a change from their home officenRobust training and onboarding programnSupport for personal development initiatives (conferences, courses, etc)nAccess to StackAdapt programmatic courses and certifications to support continuous learningnParental leave, a friendly and welcoming culturenSocial and team eventsnAbout StackAdapt
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals. We acknowledge and welcome people from all backgrounds and identities. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.nSeniority level
Entry levelnEmployment type
Full-timenJob function
Engineering and Information TechnologynIndustries
Technology, Information and Internet
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Data Scientist
Posted today
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Join one of the UK's leading food delivery platforms as a Contract Data Scientist, where you'll play a key role in shaping data-driven decisions across logistics, customer experience, and product innovation. This is a hands-on opportunity to work with modern cloud-native tools and contribute to high-impact projects in a fast-paced, consumer-focused environment.
Location: London
Duration: 3-6 months
Rate: £400 per day (Outside IR35)
Start Date: ASAP
What You'll Be Doing
Build and deploy predictive models to optimise delivery routes, reduce churn, and enhance customer satisfaction.
Work across cloud platforms (Azure, AWS, GCP) to ingest, transform, and analyse large-scale datasets.
Collaborate with cross-functional teams to design experiments and deliver actionable insights.
Contribute to AI-driven initiatives, such as chatbots or recommendation engines.
Communicate findings clearly to stakeholders and influence strategic decisions.
What We're Looking For
Proven experience in data science or data engineering roles, ideally within consumer tech, logistics, or e-commerce.
Strong proficiency in Python, SQL, and machine learning frameworks.
Experience with cloud platforms (Azure, AWS, GCP) and tools like Databricks, DBT, Airflow, or Terraform.
Familiarity with AI/ML applications and modern analytics tooling.
Excellent communication skills and ability to work independently in a fast-paced environment.
Why JoinnBe part of a mission-driven team transforming how people access food.
Work with cutting-edge technologies and contribute to real-world impact.
Flexible hybrid working options available
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Data Scientist
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Data Scientist role at ARUP, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Joining Arup supports sustainable development and socially meaningful work within a collaborative, values-driven environment.nThe opportunity is to join the Transport Modelling and City Modelling Lab in London, contributing to agent-based and activity-based modelling and working with senior transport modellers, project managers, and multidisciplinary teams across the UK and internationally.nResponsibilities
Develop and apply innovative methodologies to solve complex urban modelling challenges using data, models, and visualisation.nBuild and calibrate models including synthetic populations, activity/location choice models, and forecasting future transport scenarios.nSupport scheme assessments and mitigation testing through robust data analysis.nCollaborate with clients and stakeholders, attend meetings, and present insights.nExtract, interpret, and communicate model outputs through traditional and non-traditional technical reporting.nLeverage Python and GitHub to deliver scalable and efficient solutions.nBased in London with potential project work elsewhere in the UK and internationally, as required.nEssential Skills And Knowledge
4-6 years of experience in data science, simulation, urban modelling, and/or transport modelling.nProficiency in Python.nMaster’s degree in a relevant discipline (e.g., Data Science, Transport Planning, Statistics).nStrong data visualisation skills tailored to client needs.nAbility to present complex data clearly and effectively.nExcellent interpersonal and client-facing communication.nComfortable working independently and within a team.nDesirable Skills And Knowledge
PhD degree in a relevant discipline (e.g., Data Science, Transport Planning, Statistics), especially activity-based and/or agent-based modelling.nDirect experience with activity-based and agent-based modelling, including synthetic population development.nExperience in development and deployment of machine learning algorithms, balancing explainability with predictive power.nFamiliarity with MATSim or PopulationSim.nExperience with databases and statistical tools (e.g., MySQL, SQL Server, R) and knowledge of traditional modelling software (e.g., SATURN, VISSUM, CUBE).nKnowledge of cloud computing (AWS, GCP, Azure etc.).nKnowledge of software engineering practices, including automated testing, peer review via pull requests, CI/CD and data engineering.nWhat We Offer
Arup provides a supportive environment with opportunities for growth, competitive pay, and benefits focused on health and wellbeing, learning opportunities, and meaningful impact. Members benefit from shared success, including profit share and a range of private insurance and flexible benefits to suit individual needs.nEqual Opportunity and Inclusion
Arup is an equal opportunity employer that actively promotes a diverse and inclusive workforce. Applications from individuals of all backgrounds are welcome, regardless of age, gender identity or expression, marital status, disability, neurodiversity, race or ethnicity, faith or belief, sexual orientation, socioeconomic background, and family status. Arup supports a sense of belonging and accessibility in recruitment and the workplace.nWe are committed to accessible recruitment processes. Please contact
for any assistance or reasonable adjustments during your application or interview, or to discuss essential role functions.nApplication Process
For what to expect next, please visit the Arup careers recruitment process page.nStay safe online — Arup will never ask for bank details as part of recruitment, and we work with a Preferred Supplier List for agencies.nClosing Date:
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Data Scientist
Posted today
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As a Data Scientist at Enfuce, you will design, deploy, and scale AI-driven products that directly impact how we operate and how customers experience our services.nYour focus will be on building and deploying AI agents and machine learning models that integrate with systems and tooling to automate processes and create customer-facing value.nYou will partner with business stakeholders to identify how technical solutions like agents and machine learning can solve complex business problems, ensuring every project delivers measurable outcomes.nYou will be part of Enfuce's Data & AI team, spanning data engineering, analytics, and machine learning. Together we own a modern data platform that powers everything from regulatory reporting and internal analytics to embedded customer-facing products, making data a driver of value across the company.
What You'll Be Doing
Design, train, validate, and deploy machine learning models and LLM-powered agents into workflows, systems, and customer-facing platforms, ensuring scalability, reliability, and governance.nPrototype and test AI use cases, evolving experimentation into scalable, productised solutions in close partnership with business stakeholders.nExplore new AI services and workflows such as Snowflake Cortex AI and Snowflake ML.nCollaborate across data disciplines, software engineers, and business stakeholders to align on requirements and deliver integrated AI solutions.nOwn stakeholder communication by clarifying requirements, translating business problems into technical solutions, and proactively managing expectations throughout the project lifecycle. Contribute to the team's ways of working by actively participating in planning, reviews, and knowledge sharing to ensure alignment and continuous improvement.
What you'll bring
Master's degree in Data Science, Computer Science, or equivalent practical experience. - Proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL.nExperience deploying ML solutions in production on cloud platforms (AWS, Snowflake, or similar).nFamiliarity with LLMs, NLP techniques, and frameworks for building AI agents. - Ability to explain models, insights, and limitations clearly to both technical and non-technical audiences.nPragmatic and outcome-driven, with strong ownership of end-to-end delivery.nStrong interpersonal skills to engage across data disciplines, software engineering, and business stakeholders, ensuring alignment and impact.
Why You'll Love Working At Enfuce
High autonomy & ownership: We give you the freedom to own your work and trust you to make the best decisions for your projects.nTop-tier talent: Join a team of industry experts and highly skilled professionals who are as passionate as you are about innovation.nUnlimited growth potential: We support your ambition with plenty of room for personal and professional growth within the company.nFlexible, remote work: Work from anywhere up to 30 days, in an environment that values flexibility and work-life balance.nA supportive culture: You'll be part of a team that encourages, motivates, and celebrates success together.
Comprehensive benefits package
We take care of our people with great benefits to match the value you bring.
Benefits & Perks
Fair pay and employee stock option
We value the input of every employee and want you to tap into the growth we build together. That's why our salaries are competitive and reassessed regularly, and you have access to an employee stock option program.
Flexible Paid Time Off
We offer a flexible paid time off policy, providing up to 5 weeks of annual vacation days and paid family leave (subject to country regulations). Additionally, you can benefit from hybrid or remote work options, promoting a healthy work-life balance.
Regular Fun With Your Team
To spend other than work-related time with your teammates, you get a team activity budget for three quarters a year. The fourth quarter is reserved for a company-wide event.
Individual Learning Budget
You get a yearly learning budget to use for courses and other relevant learning opportunities that help you develop your skills.nDepartment: Service & DeliverynLocations: Netherlands (Remote), Spain (Remote), Espoo (Remote)
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Data Scientist
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Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good!nWe've been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas' Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do.nHaving completed our recent multi-year digital transformation, we're now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future.nJob Description
We are looking for a Data Scientist to join our forward-thinking Data team.nIn this position, your responsibility will be to contribute to the company's expansion by incorporating innovative data resources and sophisticated modeling techniques to elevate profitability. You will work across the full data science lifecycle - from generating ideas, through building and deploying models, to measuring impact using A/B testing.nYou will gain hands-on experience with leading technology, modern architecture, and the latest applications of machine learning and generative AI in production.nWhat you'll do
Work closely with stakeholders across the business to understand and propose improvements to existing process using new data sources and advanced machine learning techniques.nDeliver projects end-to-end from scoping/R&D through to production deployment and benefit measurement.nFollowing and contributing to our standards for code quality, R&D, and model development practices.nCollaborate with DevOps and Data Engineers to productionise and deploy machine-learning models into our AWS cloud infrastructure.nWrite production-grade code in Python, demonstrating CI/CD, Databricks and ensuring appropriate test coverage.nQualifications
What we'd love you to bring:nYou are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences.nYou thrive in working autonomously to drive impact in a fast-paced cross-functional business.nPhD or MSc or equivalent experience in a numerate subject: Machine Learning, Computer Science, Statistics.nProven experience of applying, researching, and developing advanced statistical/ML methods to drive value in a commercial setting,nAble to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results.nExperienced in engaging with non-technical partners to scope, design and build an appropriate ML solution.nProficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git.nKnowledge of OO programming, software design, i.e., SOLID principles, and testing practices.nKnowledge and working experience of AGILE methodologies.nProficient with SQL.nFamiliarity with Databricks, Spark, geospatial data/modellingnExposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. are a plus.nAdditional Information
What's in it for you?nCompetitive salary that reflects your skills, experience and potential.nDiscretionary bonus scheme that recognises your hard work and contributions to esure's success.n25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday.nOur flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.nCompany funded private medical insurance for qualifying colleagues.nFantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members.nWe'll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources.nDriving good in the world couldn't be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities.nJoin our internal networks and communities to connect, learn, and share ideas with likeminded colleagues.nWe're a proud supporter of the ABI's 'Make Flexible Work' campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.nAnd much more; See a full overview of our benefits here Reward and benefits / Esure Group PLCnWe are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.
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