data scientist

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

<div>Company Description 
We&rsquo;re one of the world&rsquo;s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages.
We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we&rsquo;re breaking new ground in software innovation too, redefining what&rsquo;s possible for our global worldwide.
Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak. 
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><div></div>
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>

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

Raytheon

<div>Date Posted:
2026-03-17
Country:
United Kingdom
Location:
Manchester, Lancashire
Position Role Type:
Onsite
Raytheon UK have a full time, permanent opportunity for a Data Engineer to join our team on our Manchester, Gloucester or London sites working onsite.
Our Data Engineering role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use. As Data Engineer, you'll be part of our experienced software dev function, working in a cross-functional Agile team.
We have opportunities for Data Engineers at every level within a team, so upon reviewing your application we will discuss the great opportunities for development or challenges we offer based off your professional profile.
Due to the interesting work we do and the sector this team is working in, we require all candidates to hold current eDV clearance.
Responsibilities<ul><li>
Build data pipelines that clean, transform, and aggregate data from disparate sources</li><li>
Collaborate with stakeholders and other engineers</li><li>
Contribute to the completion of milestones associated with your project</li><li>
Contribute to continuous improvement within your team</li><li>
Collaborate with your peers on technical direction within your team</li></ul>
Required Skills and Experience<ul><li>
Strong analytic skills related to working with unstructured datasets</li><li>
Python (PySpark, Pandas, PyArrow)</li><li>
Distributed data processing (Apache Spark)</li><li>
Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi)</li><li>
Cloud services (AWS, Azure or GCP)</li><li>
Messaging / Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services)</li><li>
SQL and NoSQL databases and storage (HDFS, Iceberg, Elastic, S3, Data Lake)</li><li>
Containerisation and orchestration (Docker / Kubernetes / Openshift)</li><li>
Testing frameworks and best practices</li></ul>
We appreciate you may not be an expert in every area above - we can support with training and development in some areas! Please do make an application and we will identify where we can best support your growth specific to your application.<div>
Benefits &amp; Work Culture
Benefits:<ul><li>
Contributory Pension Scheme (up to 10.5% company contribution)</li><li>
6 times salary &lsquo;Life Assurance&rsquo; with pension</li><li>
25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days</li><li>
Company bonus scheme (discretionary)</li><li>
Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others</li><li>
Enhanced sick pay</li><li>
Enhanced family friendly policies including enhanced maternity, paternity &amp; shared parental leave</li></ul>
Work Culture:<ul><li>
37hr working week</li><li>
Early 1.30pm finish Friday, start your weekend early!</li><li>
Up to 5 paid days volunteering each year.</li><li>
Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team.</li></ul></div> 
About us
In this area of Raytheon UK we provide DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations.
At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. 
 
Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world.
RTX 
Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses &ndash; Collins Aerospace Systems, Pratt &amp; Whitney, and Raytheon. 
Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over &pound;2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We&rsquo;re investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.
#LI-AS3
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
Privacy Policy and Terms:</div>

Data Engineer

PA Consulting

<div>
 
 Company Description
 
 
 
 We believe in the power of ingenuity to build a positive human future.
 
 
 As strategies, technologies, and innovation collide, we create opportunity from complexity.
 
 
 Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.
 
 
 We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.
 
 
 Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.
 
 
 
 PA. Bringing Ingenuity to Life.
 
 
 
 
 Job Description
 
 
 
 We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world.
 
 
 
 Why consider joining our Digital &amp; Data community? 🤔
 
 
 
 
 <ul>
 <li>
 Join our Digital &amp; Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions.
 </li>
 <li>
 Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn&rsquo;t align with what you want to do.
 </li>
 <li>
 Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week.
 </li>
 <li>
 Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same
 </li>
 <li>
 Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring
 </li>
 <li>
 Deepen your expertise through our a culture of learning and growth &ndash; you&rsquo;ll have budget to take courses (technical and non-technical training), plus gain certifications
 
 
 
 </li>
 </ul>
 
 Our tech stack 🚀
 
 
 
 While we advocate for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications:
 
 
 
 <ul>
 <li>
 AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement.
 </li>
 <li>
 AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB.
 
 
 
 </li>
 </ul>
 
 What You Can Expect 🌱
 
 
 
 
 <ul>
 <li>
 Work to agile best practices and cross-functionally with multiple teams and stakeholders. You&rsquo;ll be using your technical skills to problem solve with our clients, as well as working on internal projects
 </li>
 <li>
 Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams
 </li>
 <li>
 Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site.
 </li>
 <li>
 An environment that deeply cares about its values Values | PA Consulting
 </li>
 <li>
 You&rsquo;ll work alongside colleagues from across PA &ndash; delivering transformative digital solutions to today&rsquo;s most complex business challenges.
 </li>
 <li>
 You&rsquo;ll be designing and building for the AWS cloud
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Essential requirements ✅
 
 
 
 Even if you don&rsquo;t meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to.
 
 
 
 <ul>
 <li>
 You thrive in problem-solving and analytical thinking
 </li>
 <li>
 You enjoy collaborating with multiple stakeholders in a fast-paced environment
 </li>
 <li>
 Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL.
 </li>
 <li>
 Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc.
 </li>
 <li>
 Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming.
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Assessment process ⚖️
 
 
 
 Please note that the interview stages may be subject to change based on the specific requirements of the role.
 
 
 
 <ul>
 <li>
 Quick call with one of our Tech Recruiters &ndash; to discuss your application, the role and PA
 </li>
 <li>
 Round 1: Either a competency or technical interview (60 mins)
 </li>
 <li>
 Round 2: Either a competency or technical interview, whichever you didn&rsquo;t do at first round (60 mins)
 </li>
 <li>
 Final round 🎉: Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins)
 
 
 
 </li>
 </ul>
 Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples&rsquo; working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.
 
 
 Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world&rsquo;s most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self.
 
 
 Find out more about Life at PA here.
 
 
 We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits:
 
 
 
 <ul>
 <li>
 Health and lifestyle perks accompanying private healthcare for you and your family
 </li>
 <li>
 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days
 </li>
 <li>
 Generous company pension scheme
 </li>
 <li>
 Opportunity to get involved with community and charity-based initiatives
 </li>
 <li>
 Annual performance-based bonus
 </li>
 <li>
 PA share ownership
 </li>
 <li>
 Tax efficient benefits (cycle to work, give as you earn)
 
 
 
 </li>
 </ul>
 We&rsquo;re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, or by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups.
 
 
 Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on recruitmentenquiries@paconsulting.com
 
 
</div>

Mindrift

<div>
 
 Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
 
 
 
 In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
 
 
 This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
 
 
 
 What We Do
 
 
 
 The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
 
 
 This is a freelance role for a Tendem project. As a
 
 Senior Python Data Scraping Engineer
 
 , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets
 </li>
 <li>
 Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements
 </li>
 <li>
 Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior
 </li>
 <li>
 Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery
 </li>
 <li>
 Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required)
 </li>
 <li>
 Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
 </li>
 <li>
 Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential
 </li>
 <li>
 Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
 </li>
 <li>
 Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
 </li>
 <li>
 Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
 </li>
 <li>
 Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
 </li>
 <li>
 Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
 </li>
 <li>
 Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
 </li>
 <li>
 Strong attention to detail and commitment to data accuracy
 </li>
 <li>
 Self-directed work ethic with ability to troubleshoot independently
 </li>
 <li>
 A link to GitHub is a plus
 </li>
 <li>
 English proficiency: Upper-intermediate (B2) or above (required)
 
 
 </li>
 </ul>
 
 Project time expectations
 
 
 
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 
 
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $45 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>

Senior Python Data Scraping Engineer (Freelance)

Explore 42+ Data scientist in Manchester this July. Find roles across top companies and apply now to boost your career.

42 data scientist jobs In Manchester

Data Scientist, Sports

Data Scientist, Sports

Senior Data Scientist

Data Engineer

Data Engineer

Data Engineer

Senior Python Data Scraping Engineer (Freelance)