data engineer

data architect

data engineer (gcp)

data engineer - aws

data engineering lead

data analyst

WSP in the UK & Ireland

<div>
 
 Job Description
 
 
 
 
 &ldquo;Ricardo is now a member of WSP. As we complete our integration, you may see references to both WSP and Ricardo during the application and interview process.&rdquo;
 
 
 
 
 What if you could do the kind of work the world needs?
 
 
 
 Our Digital Services team build software in collaboration with WSP's wide range of internationally recognised environmental experts and scientists, creating new and innovative solutions to tackle some of the world's most pressing environmental challenges. You therefore have the opportunity to help contribute to digital services that support better environmental outcomes for clients and communities.
 
 
 We tackle some of the world's toughest environmental challenges, working on monitoring and improving air quality in cities, guiding decisions about energy generation and use, helping governments with climate change and resource efficiency, developing policies about transport and water resources, and offering emergency response services for chemical spills.
 
 
 We have an opportunity for an experienced Senior or Principal Data Scientist to join our team. You will work across the wider business in order to provide best practice leadership and guidance to the practices, who are helping national Governments, the European Commission and international bodies such as the Asian Development Bank and World Bank in the development, implementation and appraisal of environmental policy and technical solutions.
 
 
 
 A Little More About Your Role...
 
 
 
 From day one, you&rsquo;ll be involved in delivering high-profile projects. You will use your technical skills to support colleagues in best practice, data wrangling and applying the latest data analysis techniques utilising a professional software development approach.
 
 
 You will have the capacity and curiosity to work across a range of thematic areas and will collaborate closely with technical experts in multi-disciplinary teams. You should also enjoy solving complex analytical problems and demonstrate exceptional critical thinking skills.
 
 
 
 What You'll Be Doing
 
 
 
 You will carry out research and analysis that drives innovation for our consultancy projects. You will manage your time across several projects, contributing to data cleaning, data analysis, modelling and report-writing.
 
 
 This is a varied role in which you will have the opportunity to work on different projects and gain broad exposure to the world of environmental consultancy. You will also work collaboratively with professionals within the business to introduce them to data engineering concepts, with opportunities to mentor and upskill data engineers and analysts, creating a standardised and professional development approach to Python development throughout the business.
 
 
 
 What We'd Like You To Demonstrate...
 
 
 
 <ul>
 <li>
 Strong proficiency in Python
 </li>
 <li>
 Demonstrable experience of:
 </li>
 <li>
 Developing data pipelines, manipulating and cleaning data, extraction of data
 </li>
 <li>
 Using versioning systems (Git), task, test and release management tool
 </li>
 <li>
 Relevant Python libraries (NumPy, Pandas, Scikit-Learn)
 </li>
 <li>
 Understanding of statistics and both the applications and limitations of machine learning
 </li>
 <li>
 Strong oral and written communication skills in order to synthesise findings, communicate insights and visualise results.
 </li>
 <li>
 Interest and ability to learn and apply new technologies
 </li>
 <li>
 Bachelors (2.1 or above) or Masters degree in a relevant discipline (data science, computer science, economics or related)
 
 
 </li>
 </ul>
 
 Don&rsquo;t quite meet all the criteria? Apply, and we can see how your experience aligns to this role and other opportunities within the team.
 
 
 
 
 Imagine a better future for you and a better future for us all.
 
 
 
 Join our close-knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world.
 
 
 
 With us, you can. Apply today.
 
</div>

Senior or Principal Data Scientist

Obsidian Security

<div><div>Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world's largest Fortune 1000 and Global 2000 companies.

Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens&mdash;Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they're transforming how SaaS is secured.

With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time.

With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness.</div><h3 class="jobSectionHeader">
About the Role</h3>

As a Data Engineer at Obsidian, you'll:
<ul>
<li>Own and evolve the data pipelines behind one of Obsidian's core products</li>
<li>Build and maintain data transformations and orchestrated jobs that turn raw signal into attributed, enriched data at scale</li>
<li>Keep customer analytics datasets accurate, fresh, and reliable across multiple data stores</li>
<li>Extend and improve our data attribution engine, including its rule-based and LLM-assisted curation stages</li>
<li>Make occasional changes to the Go service that exposes this data through our APIs, working alongside backend engineers</li>
<li>Collaborate with product managers, backend engineers, and the teams who turn this data into customer-facing functionality</li>
<li>Champion data correctness, observability, and clean, testable transformations</li>
<li>Participate in code reviews and technical discussions to continuously raise engineering standards</li>
</ul><h3 class="jobSectionHeader">What's in it for you</h3>
<ul><li>Own the data foundations of a core product used by enterprises worldwide</li>
<li>Work alongside a talented, supportive team in a collaborative culture</li>
<li>Grow your skills across modern data tooling, streaming systems, and LLM-assisted workflows</li>
<li>Gain exposure to a cloud-agnostic platform spanning AWS and GCP</li>
<li>Be part of an innovative, growing company where your work makes a real impact</li>
<li>Enjoy hybrid working, with supported remote working and great office spaces in Cheltenham and Manchester</li>
</ul><h3 class="jobSectionHeader">Required Skills and Experience:</h3>
<ul><li>3&ndash;6 years of experience in a data engineering or software engineering role</li>
<li>Strong SQL and hands-on experience building production data pipelines</li>
<li>Experience with a modern data orchestrator such as Dagster, Airflow, or similar</li>
<li>Proficiency with a data transformation framework such as dbt</li>
<li>Proficiency in Python</li>
<li>Familiarity with Git and CI/CD tooling such as GitLab CI/CD</li>
<li>Familiarity with relational databases (e.g., Postgres) and cloud data warehouses</li>
<li>A bias toward data quality, testing, and maintainable, well-documented work</li>
<li>Experience collaborating in a team environment and adapting to changing requirements</li>
</ul><h3 class="jobSectionHeader">Desirable Experience</h3>
<ul><li>Experience with Databricks/Spark or other large-scale analytics platforms</li>
<li>Exposure to event/streaming systems such as Kafka</li>
<li>Existing Go experience for occasional API changes</li>
<li>Familiarity with containerization and orchestration (Docker, Kubernetes)</li>
<li>Exposure to LLM-assisted data workflows</li>
<li>Experience with cloud platforms (AWS or GCP) and object storage (S3/GCS)</li>
<li>Exposure to observability tooling such as Grafana or Prometheus</li></ul></div>

Data Engineer

bet365

<div>
 
 
 Job Description
 
 
 
 As a Data Scientist, you will develop probabilistic models that power real-time betting markets.
 
 
 
 
 
 The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products.
 
 
 
 
 
 In this role, you will work with extensive datasets to develop models that determine odds and power in-play betting decisions. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation.
 
 
 
 
 
 This role is eligible for inclusion in the Company's hybrid working policy.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Mathematics, Data Science, Computer Science, or a related quantitative field.
 </li>
 <li>
 Keen interest in a wide range of sports and/or the online gambling industry.
 </li>
 <li>
 Demonstrable experience building predictive models from data.
 </li>
 <li>
 Expertise in statistical analysis and probability theory applied to real-world problems.
 </li>
 <li>
 Strong Python/R skills with experience in ML frameworks, such as scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Ability to optimise models for both accuracy and computational efficiency.
 </li>
 <li>
 Experience handling and analysing large datasets.
 </li>
 <li>
 Familiarity with cloud computing environments.
 </li>
 </ul>
 
 
 
 
 
 Additional Information
 
 
 <ul>
 <li>
 Conducting in-depth analysis of large datasets to extract insights and inform decision-making in sports betting.
 </li>
 <li>
 Utilising statistical techniques and machine learning algorithms to develop predictive models and algorithms for sports betting.
 </li>
 <li>
 Devising innovative solutions for unstructured problems.
 </li>
 <li>
 Assessing existing models and algorithms to identify areas for improvement.
 </li>
 <li>
 Identifying and resolving data quality issues or bugs affecting models or analysis.
 </li>
 <li>
 Performing rigorous statistical validation of models against historical and live data.
 </li>
 <li>
 Collaborating with trading teams to incorporate domain expertise into mathematical models.
 </li>
 <li>
 Optimising model performance for both accuracy and computational efficiency.
 </li>
 <li>
 Researching novel approaches from academic literature and industry developments.
 </li>
 <li>
 Identifying and defining new opportunities for data-driven insights.
 </li>
 </ul>
 
 
 
 
 By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy
 
 
 
 
 
 At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don&rsquo;t hesitate to reach out.
 
</div>

Data Scientist, Sports

TRADER Corporation

<div><div><h3 class="jobSectionHeader">About us</h3>

You've probably heard of Autotrader, but do you know what we're all about?

We're the most trusted, most visited automotive marketplace in the UK. A heritage brand and a tech innovator. We bring together vehicle buyers and sellers to give them real choices. Cars may be what we're best known for but we&rsquo;re also the place for pretty much everything else on wheels, from e-bikes to caravans.

In the automotive world, change is a constant, that&rsquo;s why we take our job of untangling the complex car-buying journey very seriously. 
 
At our core, we&rsquo;re all about people. We go our own way while embracing diversity and celebrating our differences. We dedicate ourselves to the idea that we work better together.

Autotrader is a beautiful, surprising and vibrant place to work. We might not be for everyone, but we could be perfect for you.
<h3 class="jobSectionHeader">
About the job</h3>

We are seeking a Senior Data Scientist who will play a crucial role in driving Autotrader's transformation into a data science-driven organisation.

As a Senior Data Scientist you will be responsible for the direction of Data Science at Autotrader. You will join a cross-functional collaborative squad focussed around a set of products or a services. With your experience and research skills you will spot the opportunities for Data Science and work with the leadership in your squad to prioritise, resource and shape subsequent projects. Your role will require you to orchestrate these projects, including supporting other Data Analysts and Scientists and collaborating with software engineers towards the best solution. You will have a focus on developing ML-centric data products and solutions, in which your expertise with ML frameworks and workflows will be key.

Right now, our Data Scientists are working on several exciting projects. For instance, they're creating personalised suggestions to get buyers more involved, improving our search system to make buying better for customers while also helping sellers stand out, building AI tools to aid customers in tasks like making listings and describing ads, studying how competition affects seller performance on our site, and upgrading our customer data platform for better targeted marketing beyond our site.

As part of our broader analytical community, Data Scientists collaborate closely with Data Analysts. Together, they foster a culture of shared insights, continuous learning, and mutual support through regular showcases, feedback sessions, mentorship programs and skill-based workshops. As a Senior member of the community, you will play a key role in establishing our analytical standards and tools.

We have invested heavily in a Data Platform that supports industry-leading Data Science. These are some technologies that our Data Scientists use (we don't expect applicants to have experience with all of these): 
 
Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing. 
<h3 class="jobSectionHeader">
What we're looking for</h3>

We are looking to grow our diverse team of curious data scientists. In your application, you should demonstrate:
<ul>
<li>A track record of delivering data science solutions in a commercial business</li>
<li>Experience productionising machine learning workflows. Knowledge of deployment and monitoring strategies.</li>
<li>A deep understanding of ML frameworks, algorithms and statistical methods</li>
<li>Expertise with Python and SQL</li>
<li>Experience orchestrating data science projects in cross-functional teams and confidence leading other data scientists</li>
<li>Enthusiasm for engaging with stakeholders both technical and non-technical to identify opportunities for Data Science and influence squad roadmaps</li>
<li>A passion for coaching Data Analysts and Data Scientists</li>
</ul>
During our application process, you will be asked two questions to help us learn more about you and how you align with our values. These will be used as part of our selection criteria, to determine if we progress your application further.
<h3 class="jobSectionHeader">
Benefits</h3>

We&rsquo;re offering a salary of &pound;50,000&ndash; &pound;70,000, plus an additional 10% of your salary awarded to you in shares each year. These awarded shares will become yours in yearly instalments over the next three years, and you can choose to either sell them or keep them as shares.

You'll have 28 days holiday per year, and that's in addition to bank holidays and half day closures on Christmas and New Year's Eve.

That&rsquo;s not all. You'll be enrolled in our pension scheme, where our standard contributions are 7% and employee contributions are 5%. We also have comprehensive private medical cover, enhanced family leave provisions, a car salary sacrifice scheme, share-save options, and much more.

We always want to give you the support you need and help prioritise your wellbeing, that&rsquo;s why we provide access to 24/7 online GP and dentist, as well as specialist support for assisted fertility, gender dysphoria, menopause, period care plans and lots more.

On top of all that, our hybrid model, Connected Working, combines the best of both worlds &ndash; office and home working. You'll spend a minimum of 3 days a week in the office with your team, focused on collaboration and connection.

Additionally, we have our remote-first periods at set times during summer and winter. During these periods, you can work remotely anywhere in the UK and from certain locations abroad.</div></div>

Senior Data Scientist

HM Revenue & Customs

Data Scientist

UK Biobank

Description Help secure one of the world's largest health research resources. At UK Biobank, security isn't simply about protecting systems; it's about safeguarding one of the world's most important biomedical research resources. Our platforms support researchers across the globe, helping advance the understanding of disease, prevention, and treatment. Protecting that data, the services that support it, and the people who rely on it is fundamental to everything we do. We're looking for two Information Security Engineers to join our growing Security team, helping strengthen and evolve our security capabilities across cloud, infrastructure, applications, and emerging technologies. Working closely with operational teams, governance specialists, external security providers, and technology teams, you'll support security operations; incident response; application, data, cloud and on-premise security; vulnerability management; governance; and emerging technologies. Can you do it? As an Information Security Engineer, you'll play a key role in protecting UK Biobank's data, services, and technology estate. Working closely with operational teams, governance specialists, external security providers, and technology teams, you'll support security operations, incident response, threat detection, vulnerability management, cloud security, and security tooling. This role offers exposure across a broad range of security disciplines rather than specialising in a single area. From investigating security incidents and maintaining security tooling through to supporting cloud security controls, AI-related technologies, and wider transformation programs, you'll be involved in shaping and improving security across the organisation. You'll also contribute to UK Biobank's Data &amp; Technology Transformation Programme, helping introduce new technologies and security capabilities that strengthen protection while enabling colleagues and researchers to access services securely and efficiently. For security professionals who enjoy variety, ownership, and working across multiple domains, this is a rare opportunity to broaden your experience while contributing to a genuinely meaningful mission. You will be responsible for: <ul><li>Participating in the Security Operations support rota, including out-of-hours on-call support, assessing, triaging, and investigating security alerts from the SOC and other sources to determine relevance, severity, and required actions.</li><li>Supporting incident response activities, including containment, eradication, and recovery, while contributing to the development and testing of security incident response plans and documenting investigations, remediation activities, and lessons learned.</li><li>Maintaining the security tooling estate, including EDR, vulnerability management, SIEM, DLP, email security, and web security solutions, ensuring services remain healthy, effective, and optimally configured.</li><li>Supporting the secure configuration, monitoring, and protection of assets, networks, cloud workloads across AWS and Microsoft Azure, and emerging AI services while helping embed security controls and guardrails.</li><li>Maintaining awareness of emerging threats, vulnerabilities, and industry developments, using insight to support risk assessments, security improvements, awareness initiatives, and a positive security culture across the organisation</li></ul>To be successful, you will have: <ul><li>Relevant operational experience as a security engineer, analyst, or similar role within a complex organisation handling sensitive or highly confidential data, including experience in an out-of-hours on-call rota and operating within environments aligned to ISO/IEC 27001 and Cyber Essentials Plus.</li><li>Experience assessing, triaging, and investigating security alerts, threats, and incidents; supporting incident response activities (containment, eradication, and recovery); proactive threat hunting; and refining detection rules, playbooks, and tooling configurations based on investigation trends and emerging threats.</li><li>Strong experience with leading security technologies, such as EDR, SIEM, DLP, BEC protection, and vulnerability management tooling.</li><li>Experience supporting a range of security functions, such as identity and access management (including access reviews, PAM, MFA and SSO), data security controls (including data classification, DLP, and encryption); and application security activities (including secure design reviews, SAST, DAST, software composition analysis, and vulnerability triage and remediation).</li></ul>Working hours are 35 hours per week, Monday to Friday, with some flexibility, 2 days onsite with hybrid working available. Located in Greater Manchester (supporting both Cheadle and Manchester Science Park locations). The team is planning to introduce an on-call support rota. Participation is expected to be approximately 1 week in every 4 as the function continues to grow and mature. Our passion for diversity and equality means creating a work environment for all employees that is welcoming, respectful, engaging, and enriched with opportunities for personal and professional development. We actively welcome applications from people with disabilities, long-term health conditions, neurodivergent candidates, and those with diverse thinking styles. We are committed to making reasonable adjustments throughout our recruitment process and in the workplace so that everyone can perform at their best. If you require any adjustments during the recruitment process, please contact Tommy Wilson Jobs@ukbiobank.ac.uk so we can support you. Your Wellbeing Matters to Us Our wellbeing score on Indeed is rated as 77%, (High) reflecting how people experience working here day-to-day. Colleagues often highlight a strong sense of purpose, supportive team culture, and the opportunity to grow. There&rsquo;s a real focus on learning, flexibility, and feeling valued, whether that&rsquo;s developing new skills, contributing ideas, or building a career within Information Security. Benefits ️26 Days&rsquo; Annual Leave &ndash; Plus Bank Holidays Holiday Buy Scheme Birthday Leave USS Pension Scheme Healthcare Cash Plan Enhanced Family Leave Cycle to Work Scheme Season Ticket Loan Professional Subscriptions Training &amp; Development Opportunities ️ Free On-Site Gym ️Subsidised Canteen Lunches Free Car Parking ️Employee Discounts Portal Employee Assistance Programme Annual Flu Vaccination ️Life Assurance Cover #LI-Hybrid The job advert closing date may change, so early applications are encouraged About UK Biobank UK Biobank is a large-scale biomedical database and research resource containing in-depth genetic and health information from half a million UK participants. The database, the largest and most comprehensive of its kind in the world, is anonymised and made widely accessible by UK Biobank to global researchers who use it to find new scientific discoveries about common and life-threatening diseases &ndash; such as cancer, heart disease and stroke which strike in mid-later life. UK Biobank is an innovative organisation with over 350 staff across four sites in the UK that fosters an engaging environment and supports the development of our staff. Our dedicated teams work alongside the world's leading biomedical scientists in our joint mission to improve public health. Job Type: Full-time Pay: &pound;60,000.00-&pound;70,000.00 per year Work Location: In person

Information Security Engineer

Ripjar

<div>Ripjar was founded by veterans of GCHQ to bring national security-grade intelligence tools to the fight against financial crime. Financial crime funds human trafficking, terrorism, corruption and sanctions evasion on a global scale, and the organisations on the front line need technology built to match the threat.
Today, Ripjar's AI-native software and data fusion products are used by governments, the world's largest banks, and global enterprises to automate the detection, investigation and monitoring of serious financial crime. Every day, hundreds of customers and thousands of daily active users rely on the platform to screen hundreds of millions of names for risk in real time, prevent money laundering and stop terrorist financing.
If you want your work to matter, this is where it happens.
We are a remote first team, with a head office based in Cheltenham. This position is open to UK wide candidates. If you are based near Cheltenham, you are more than welcome to work from our office at any time.
The role: 
We are looking for a motivated, curious, and enthusiastic Product Manager to join our growing product team. This is not a role where we expect you to have seen it all before or be an expert in every discipline. We believe great product instincts combined with the right attitude will take you far, and this role is designed to be a launchpad for your career. 
 
Product management at Ripjar is beautifully varied, and we want you to find your own strengths. While you will get a solid grounding in the entire product lifecycle, you will have the flexibility to lean into the areas that excite you most as you develop:<ul><li> 
The Tech and Delivery Side: Partnering closely with world-class engineers and architects to build cutting-edge systems.
</li><li>The Commercial and Marketing Side: Shaping product strategy, exploring pricing models, and helping position our products in the global market.
</li><li>The Operational Side: Working on how our complex AI systems are deployed and implemented effectively for our clients.
</li></ul>Bring Your Ideas to Shape How the World Fights Financial Crime with AI 
AI is at the heart of what we do. We don't just want you to manage a roadmap; we want you to bring your own creativity and ideas to the table. You will help us think about how we can leverage the next generation of AI tools and processes to make a meaningful difference. If you are fascinated by the fast-moving world of artificial intelligence and want to apply it to real-world challenges, you will thrive here.
What you'll be doing:<ul><li>
Lead and Shape Initiatives: Be responsible for key product features from concept through to launch, working alongside UX designers, engineers, and QA specialists.
</li><li>Listen and Learn: Engage directly with our customers and internal teams to deeply understand user needs and domain challenges.
</li><li>Build Momentum: Act as an Agile product owner by writing user stories, collaborating team ceremonies, and helping the team deliver.
</li><li>Experiment with Strategy: Contribute fresh ideas to our product development, marketing strategies, and pricing approaches.</li></ul> 

Requirements 
What we're looking for: 
 
We are keeping things simple. We aren't looking for a long list of certificates; we are looking for potential, adaptability, and commitment.<ul><li> 
Some Product Experience: You have a solid grounding in product management principles, perhaps as an Associate PM, Product Analyst, or a closely related role in a fast-moving tech environment.
</li><li>B2B or SaaS Exposure: You have some familiarity with how enterprise software or SaaS products are built and delivered.
</li><li>Curiosity Around AI: You don't need a degree in data science, but you should be genuinely excited by AI technology and eager to explore how it can solve complex problems.
</li><li>Strong Communication: You know how to collaborate cross-functionally, listen to different perspectives, and build trust with a team.
</li><li>Bonus Points: Any exposure to financial services, compliance, or RegTech is a great plus, but absolutely not a requirement.</li></ul> 

Benefits 
Why we think you&rsquo;ll enjoy it here:<ul><li>
Competitive base salary DOE</li><li>
25 days annual leave + birthdays off, rising to 30 days after 5 years of service</li><li>
Christmas shutdown</li><li>
Fully remote working</li><li>
35 hour working week</li><li>
Flexible working hours.</li><li>
Private Family Healthcare</li><li>
Life Assurance</li><li>
Pension salary sacrifice</li><li>
Employee Assistance Programme</li><li>
Company contributions to your pension</li><li>
Enhanced maternity/paternity pay</li><li>
The latest tech including a top of the range MacBook Pro</li><li>
There is a well-stocked pantry with food, snacks and drinks when in the office</li></ul></div>

Product Manager

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