data engineer

data scientist

analytics engineer

senior analytics engineer

data science manager

business intelligence analyst

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We are looking for a highly analytical Business Intelligence Engineer to join Amazon&rsquo;s Global Accounting Business Intelligence and Analytics team.
 
 
The Accounting BI team supports the global Accounting organization with process automation/improvements, developing automated reporting solutions/tools, and improving the ability of the accounting organization to process, analyze, access and consume accurate and timely financial data. The team supports the global accounting organization and partners closely with accountants and financial analysts supporting the various businesses and industries Amazon operates in.
 
 
The ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, big data, and enjoys the challenges of highly complex business context. This role requires an individual with excellent analytical abilities, deep knowledge of business intelligence solutions, and the ability to quickly learn, adapt and work with a variety of technologies.
 
 
Key job responsibilities 
<ul><li>Collaboration and partnership with Accounting and software development teams driving enterprise level projects</li><li>Contributing to the design, development, and maintenance of multiple scalable solutions supporting internal/external global stakeholders</li><li>Coordinating project prioritization with multiple stakeholders, managing and executing competing priorities from end to end within defined timelines</li><li>Supporting the global accounting organization with various ad-hoc reporting, analyses, and data processing needs</li><li>Integrating AI capabilities into business intelligence operations, identifying opportunities to leverage AI for enhanced insights, optimization, and operational efficiency</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)</li><li>Experience with SQL</li><li>Experience in the data/BI space</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree, or Advanced technical degree</li><li>Knowledge of data modeling and data pipeline design</li><li>Experience with statistical analysis, co-relation analysis</li></ul> 
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. 
 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Business Intelligence Engineer, Accounting

Accenture

<div>YOU ARE
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your spans the full solution lifecycle &mdash; assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps &amp; MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.
THE WORK<ul><li>
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</li><li>
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</li><li>
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC</li><li>
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</li><li>
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</li><li>
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</li><li>
Justify the value of model approaches in business problems</li><li>
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</li></ul></div>
 
<div>EDUCATION<ul><li>
Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or a related field</li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Work or coursework experience with machine learning engineering or machine learning science, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.</li><li>
Work or coursework experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</li></ul>
PREFERRED QUALIFICATION<ul><li>
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..</li><li>
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.</li><li>
Experience with the following programming languages: Python, C++, Java, R, SQL</li><li>
Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</li><li>
Strong client-facing skillsets in a consulting environment</li><li>
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</li><li>
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</li></ul></div>

AI/ML Computational Science Senior Analyst

Smart

<div>At Smart, our mission is to transform retirement, savings and financial wellbeing, across all generations, around the world.
THE ROLE
As part of the Data Analytics team, you will work closely with stakeholders to translate business challenges into data problems, delivering high-quality and clearly articulated analysis, reporting, and data-driven insights that support effective decision-making. We are a small team with big ambitions. We are building the foundations to enable our vision of maximising the value that our extensive dataset and modern data stack can generate for the business. Because we support the entire business, our data is varied and complex. As such, we are seeking a self-starter who is comfortable navigating ambiguity and independently finding solutions within a fast paced environment. If you match our ambitions, are passionate about creating value from data, and want to help drive the evolution of our data capabilities, then we would love to hear from you. 
What you will do:
Stakeholder Partnership &amp; Communication<ul><li>
Define requirements: Partner with stakeholders across the company to translate business questions into clear analytics requirements and identify the right data points.</li><li>
Data Translation &amp; Storytelling: Explain analytical outputs and insights to stakeholders in clear, non-technical terms and, as required, build a narrative to support effective decision-making.</li><li>
Drive data literacy: Support initiatives that enable stakeholders to self-serve data more effectively.</li></ul>
Analytics &amp; Business Intelligence<ul><li>
Build BI solutions: Design, build, and maintain reports and dashboards (primarily using Tableau) used across the organisation, including Board-level KPI reporting.</li><li>
Data Analysis &amp; Insights: Manipulate and analyse complex data to answer business questions and identify trends, insights, and opportunities.</li></ul>
Data Modeling &amp; Quality Assurance<ul><li>
Build robust data models: Develop and maintain optimised and reliable solutions in our data warehouse (Redshift) using tools like dbt, collaborating closely with Data Engineering where required.</li><li>
Ensure trust &amp; accuracy: Maintain data quality and reporting reliability, manage the impact of upstream changes, and support business-critical processes with direct regulatory or customer impact.</li><li>
Peer review: Participate in code reviews and collaborative QA to validate the accuracy and value of our analytical output.</li></ul>
Continuous Improvement &amp; Team Culture<ul><li>
Automate &amp; optimise: Identify opportunities to improve efficiency through automation, better data processes and the responsible use of AI.</li><li>
Be an active team player: Contribute your ideas to team discussions, retrospectives, and future planning to continuously improve how we work together and support the business.</li></ul>
WHO WE ARE LOOKING FOR
The skills, experience, and aptitudes we are looking for are listed below but please don&rsquo;t be discouraged from applying if you don&rsquo;t meet every single one of these criteria &ndash; having a &lsquo;can do&rsquo; attitude is sometimes more important than being able to tick every box:
Experience &amp; Attributes<ul><li>
Proven track record: 3+ years of experience in data analysis, with a focus on data manipulation, reporting and insight analytics.</li><li>
Stakeholder partnership: A proven ability to work with stakeholders to deeply understand business problems, translate requirements into effective analytics solutions, and advise on best approaches.</li><li>
Data storytelling &amp; coaching: An effective technical communicator who can translate complex data for non-technical audiences and actively coach stakeholders to enhance overall data maturity.</li><li>
Analytical curiosity: Inquisitive by nature, with sharp attention to detail and a natural drive to look beyond the surface numbers to uncover actionable insights.</li><li>
Ambitious and agile learner: A fast, curious learner who is eager to independently explore and pick up new datasets, technologies and methodologies to innovate with purpose.</li><li>
Organised &amp; adaptable: Highly organised with the ability to manage multiple concurrent tasks.</li><li>
Collaborative team player: A reliable team player with a &quot;team-first&quot; mindset who thrives in a highly collaborative and supportive environment.</li><li>
Financial Services/Pensions experience (Desirable): Experience within financial services is desirable; exposure to the pensions industry is a plus.</li></ul>
Technical skills:<ul><li>
Advanced SQL (Essential): Extensive experience of writing, troubleshooting, and optimising complex queries.</li><li>
BI &amp; Data Visualisation (Essential - Tableau Preferred): Strong experience building impactful dashboards and reports in a modern BI tool, with a preference for Tableau.</li><li>
dbt (Desirable): Experience with dbt for data modeling, transformation, and managing the analytics layer.</li><li>
Python (Desirable): Experience using Python for data manipulation, advanced analytics or automation.</li><li>
Git / GitHub (Desirable): experience using version control for managing code, collaborating with others, and reviewing changes.</li></ul> 
WHO WE ARE
We work in partnerships with governments and financial institutions in the UK and internationally. Our cloud-native digital platform is revolutionising how people around the world think about, and save for, their retirement.
At heart, we&rsquo;re a financial technology business. What we do is all about innovation, and using the power of digital change to put the customer first. Our Engineers will tell you that working at Smart gives you the opportunity to play your part in developing world-class technological solutions, working with &ndash; and learning from &ndash; like-minded people.
You&rsquo;ll also find that, across our business, our colleagues love Smart&rsquo;s culture, and how what we do means better financial outcomes for savers. That feels worthwhile, and it means that what we do, collectively, goes way beyond the nine to five of a typical working day.
Don&rsquo;t just take our word for it &ndash; you can see what our colleagues say about working at Smart on LinkedIn Life and Glassdoor.
BENEFITS
At Smart, one of the eight principles we work to is &ldquo;We want happy and good people in our team&rdquo;. We created a list of benefits that helps us achieve this goal:<ul><li>
25 days&rsquo; holiday per year, increasing with length of service.</li><li>
&pound;500 annual training budget to spend on your professional development.</li><li>
Extensive private healthcare, including dental, eyecare and EAP.</li><li>
Enhanced sick leave (three months&rsquo; pay per year).</li><li>
Enhanced maternity and paternity (maternity &ndash; 6 months fully paid/paternity &ndash; 3 weeks fully paid).</li><li>
Death in service insurance cover.</li><li>
Fully-paid five-week sabbatical after five years of employment.</li><li>
In office wellbeing, such as manicures, massages and barbers.</li><li>
Smart employees also enjoy a 50% discount on orders from our sister company Arena Flowers, Britain's most ethical florist. They offer unique hand-tied bouquets, luxury flowers, letterbox flowers, plants and gifts to spend on friends and loved ones or even for yourself.</li></ul>
At Smart, we are committed to creating an inclusive and equitable workplace where everyone feels valued, respected, and empowered to do their best work.
We believe that diverse perspectives help us lead the way in transforming retirement, savings, and financial wellbeing. We welcome differences in background, experience, thinking, and identity, and we recognise that innovation is strongest when it is built on inclusion and fairness. We encourage applications from people of all backgrounds and experiences and do not discriminate on the basis of any protected characteristic.
If you require any reasonable adjustments during the recruitment process or in the workplace, we encourage you to let us know - we are committed to supporting you.
We think Smart is an awesome place to work. If it sounds like somewhere you&rsquo;d like to work, too, and if you&rsquo;re ready to play your part in our continued success in the future, then naturally we&rsquo;d love to meet you.</div>

Data Analyst

Worldpay

<div>Ready to take your career global?
Make your mark at one of the biggest names in payments. We&rsquo;re looking for a Senior Data Scientist/Engineer &ndash; Commercial Optimisation to join our ever evolving Global SMB team and help shape the future of global commerce.
What you&rsquo;ll own<ul><li>
Utilize advanced data analytics and machine learning techniques to identify high-value prospects and generate leads in the payments industry.</li><li>
5 + years experience working as a Data Scientist and Data Engineer.</li><li>
Design and implement propensity models to predict potential client engagement and conversion rates, optimizing our prospecting strategies.</li><li>
Analyse transactional and financial data to uncover trends and insights that inform targeted marketing and sales strategies.</li><li>
Identify and evaluate new data sources (internal and external) to support and drive improvements in predictive models</li><li>
Work closely with the marketing and sales teams to refine lead qualification processes, enhance lead scoring models, and streamline lead generation efforts.</li><li>
Develop and maintain Python/SQL-based automated workflows for efficient data preparation, modelling and execution of marketing/prospecting strategies.</li><li>
Present data-driven insights and recommendations to stakeholders to drive strategic decisions and new business initiatives.</li><li>
Continuously monitor the effectiveness of lead generation strategies and adjust models and approaches based on performance data and market feedback.</li></ul>
What you'll bring<ul><li>
Proven experience in data science with a focus on targeted marketing, lead generation and new business development</li><li>
Expert in Python and SQL and experience with data preparation, cleaning, and modelling</li><li>
Expertise in building and deploying machine learning models, especially related to customer behaviour, segmentation, and propensity analysis.</li><li>
Excellent analytical and problem-solving abilities, with a track record of translating data insights into successful business outcomes.</li><li>
Entrepreneurial mindset with the ability to operate in a fast-paced environment and contribute to multiple projects with varying deadlines.</li><li>
Bachelor&rsquo;s or master&rsquo;s degree in Statistics, Mathematics, Computer Science, Finance, or a related field.</li></ul>
About the team
As a forward-thinking finance company based in London, we specialize in innovative payment solutions aimed at streamlining and enhancing the payment processes for businesses and consumers. Our mission is to revolutionize the payments industry by leveraging cutting-edge technology and data-driven insights to foster financial inclusion and efficiency. Join our dynamic team and play a crucial role in driving new business generation and shaping the future of payments.
We are in search of a Senior Data Scientist/Engineer with a strong background in finance and a knack for new business generation. This role is pivotal for our lead generation and prospecting efforts, using advanced analytics and machine learning to identify and engage potential clients in the payments sector. The ideal candidate will possess a unique blend of technical data skills, business acumen, and an entrepreneurial spirit to drive growth and expand our market presence.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner and win as one team. We&rsquo;re curious and innovative &ndash; always finding better ways to deliver impact. We empower each other to make decisions, and it&rsquo;s our passion that drives excellence in everything we set out to do.
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.
To find out more about working with us, find us on LinkedIn.
#LI-AB1</div>

Senior Data Scientist/Engineer - Commercial Optimisation

<div>About the role:
We are the world&rsquo;s largest and most successful deal analytics and modelling team. Sitting at the heart of PwC&rsquo;s +$10bn global deals business, we work with the world&rsquo;s largest investors on their most complex transactions and restructurings.
Our purpose is to support the increasingly sophisticated client demand for advanced data-driven insights to underpin their critical investment decisions. We deliver this with:<ul><li>
A range of products and services that deliver transformational insights to our clients throughout the deal cycle;
</li><li>Significant investments in cutting edge technologies and platforms;</li><li>
A world class and truly diverse team with a range of data science, technology, commercial, financial and industry backgrounds</li></ul>
For the right candidate, this is an amazing opportunity to build a career in an environment that fosters a creative and entrepreneurial spirit, with the unrivalled security, personal development, client access and investment that PwC brings.
We offer an exciting, continuous development journey to help you become a market leading deals advisor.
PwC operates in 136 countries around the world with over 364,000 employees and revenues of US$57bn.
What your days will look like:
We're looking for people with a commercial mindset who can deliver commercial insight to our clients and enhance the Deal value through compelling analysis. As a Data &amp; Analytics senior associate, you will play a key role in delivering analytics-led deal insight for clients, owning defined analytics workstreams within larger assignments, stretching yourself across many different industry sectors and engaging directly with clients, in a unique, commercially orientated role.
As part of this team you will help design and deliver high-quality analysis and insights to meet a range of business needs. For example:<ul><li>
Development of analytics showcasing the drivers and equity story of a business, either to management or to bidders, to increase deal confidence
</li><li>Creation of analytics to arm management with data-driven insights, enabling fact-based decision making and driving value within the business
</li><li>Working with clients to gather and understand data, including sourcing and integrating data from multiple internal and external sources (e.g. APIs, web data, industry datasets)</li><li>
Using Python, SQL, Databricks and other data manipulation tools to structure, cleanse, transform and analyse large or complex datasets to support robust analysis</li><li>
Using your technical expertise and translating this for non-technical stakeholders to support clear, evidence-based decisions
</li><li>Creating reports, dashboards and presentations, and communicating findings to clients and stakeholders
</li><li>Supporting business development and proposition development, including identifying opportunities to apply analytics to new client problems.</li><li>
Helping raise technical standards across the team, including developing reusable analytical approaches, coaching Associates, supporting code and output review, and contributing to the quality of analytical delivery.</li><li>
Bringing your ideas and creativity to the team, continuously challenging how we deliver the best outcomes
</li></ul>Most importantly, we need you to become a business partner and strategic advisor to our clients, translating and communicating your analysis to help answer critical commercial questions.
The role is for you if:
If you are naturally inquisitive, have an analytical mind and enjoy solving problems, we would be interested in talking to you. You should be comfortable working with data, drawing insights and explaining your thinking clearly to others. Candidates should also be prepared to travel, as some opportunities may require working at other PwC offices or client sites across the UK or overseas on a temporary basis.
Essential requirements of the role:<ul><li>
Significant relevant experience in data analytics, data science, deals or a related analytical role.</li><li>
Degree in a STEM related subject (Science / Technology / Engineering / Mathematics), and a clear interest in how data and technology can be used to solve business problems.</li><li>
Strong practical experience using Python, Databricks and /or SQL to manipulate, analyse and interpret datasets, ideally in a professional or client-facing environment.</li><li>
Experience using AI-enabled tools to accelerate workflow development, improve analytical efficiency and support more scalable analytics delivery.</li><li>
Data visualisation and presenting insights in a clear and structured way (e.g. Power BI or similar).</li><li>
Experience working with, structuring or combining multiple data sources (including large or complex datasets).</li><li>
Experience of coaching / training juniors to support their development.</li></ul>
In addition, we are looking for candidates who can demonstrate:<ul><li>
Commercial thinking to complex problems, leveraging data analytics to generate insights and support decision-making.</li><li>
An ability to translate data and analysis into clear, commercially relevant insights.
</li><li>Strong problem-solving skills and the ability to approach ambiguous or complex questions.
</li><li>Confidence communicating technical concepts to non-technical stakeholders.</li><li>
A proactive approach, with the ability to learn quickly and work effectively as part of a team.</li></ul>
The role requires flexibility to travel throughout the UK.
What you&rsquo;ll receive from us:
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions.
We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.</div>

LA&R, Data & Analytics Senior Associate (Deals Insights & Analytics)

Perplexity

<div>
 Perplexity is looking for an experienced Product Data Scientist to accelerate the development of advanced search technologies. You will identify robust and sensitive signals from user behavior to help us gather insights from A/B experiment data more efficiently.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption
 </li>
 <li>
 Formulate hypotheses and validate them by designing, running, and analyzing A/B tests
 </li>
 <li>
 Determine appropriate metrics and visualizations for tracking, and implement them in dashboards
 </li>
 <li>
 Design new pipelines that will help to deliver better ranking quality. From discovering new signals, producing metrics and construct data labeling pipelines with human and LLM feedback
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 4+ years of experience working as a data analyst or in a related role
 </li>
 <li>
 Experience working on search-related products, with emphasis on designing online metrics and analyzing A/B experiments
 </li>
 <li>
 Strong Python skills (expected to write production-grade code)
 </li>
 <li>
 Proficiency with SQL
 </li>
 <li>
 Experience with Business Intelligence (BI) tools
 </li>
 <li>
 Deep knowledge of statistics
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Proficiency with Apache Spark
 </li>
 <li>
 Experience with Databricks
 </li>
 <li>
 Experience with development of LLM-as-a-judge systems
 
 
 </li>
 </ul>
</div>

Member of Technical Staff (Product Data Scientist, Search Quality)

MarketCast

<div>
 
 Junior Data Scientist - Product
 
 
 
 
 London, UK, Reading, UK
 
 
 
 
 Role Impact
 
 
 
 As our Junior Data Scientist - Product, you'll be a pivotal player on our Data Science Product Team, which currently comprises about 15 data scientists with varying levels of seniority.
 
 
 The Junior Data Scientist - Product plays a foundational role in supporting the design, engineering, execution, and delivery of advanced data science projects and market research products at Marketcast. Operating at the intersection of quantitative market research, software engineering, and artificial intelligence, this position focuses on building the backend systems and data pipelines that clean, process, and analyse complex datasets to extract actionable consumer insights. On a daily basis, the Junior Data
 
 
 Scientist assists in writing production-quality code, developing and maintaining data pipelines, implementing machine learning models, and translating analytics into robust, reusable product features under senior guidance. By ensuring high data quality, engineering rigour, and contributing to innovative product features, this individual directly enhances the reliability and scalability of the organisation's media and entertainment analytics.
 
 
 
 We're Looking For
 
 
 
 <ul>
 <li>
 Data Engineering and Pipeline Development &ndash; Design, build, and maintain reliable data pipelines that clean, preprocess, and structure complex quantitative datasets using Python, SQL, pandas, and modern data tooling. This technical processing is performed systematically and reproducibly, with an emphasis on well- structured, version-controlled, and testable code to prepare raw survey and consumer data for downstream statistical models. Ensuring clean inputs and resilient pipelines directly prevents model drift and maintains the reliability of product outputs. Success in this responsibility is defined by the timely delivery of error-free, analytical-ready, and maintainable data pipelines to senior data scientists.
 </li>
 <li>
 Quantitative Analysis &amp; Modelling - Assist in executing statistical analyses, regression modelling, and audience segmentation under the guidance of senior team members, with a strong emphasis on mathematical rigour and a sound understanding of the methods being applied rather than their black-box use.
 </li>
 <li>
 Backend &amp; Software Development - Contribute to the backend services, APIs, and codebases that power our data products, writing clean, tested, and well-documented code under senior guidance. The analyst works within standard software engineering practices - version control, code review, automated testing, and CI/CD - to ship features that are reliable and maintainable rather than one-off scripts. This software-first approach ensures our analytical work translates into durable product infrastructure. Success is measured by code quality, adherence to engineering standards, and the stability of contributions in production.
 </li>
 <li>
 Infrastructure &amp; Deployment - Support the deployment, monitoring, and scaling of data science workloads across our cloud and infrastructure stack (e.g. containers, orchestration, and managed cloud services) under supervision. The analyst helps operationalise models and pipelines so they run reliably and cost-effectively at scale, contributing to the team's MLOps and engineering practices. This focus on robust infrastructure reduces manual intervention and improves the reliability of our products. Performance is evaluated on the stability, reproducibility, and efficiency of deployed workloads.
 </li>
 <li>
 AI &amp; LLM Integration - Support the integration of artificial intelligence APIs, large language models (LLMs), and natural language processing pipelines into existing data products. Under supervision, the analyst helps configure frameworks to streamline analytical workflows, saving dozens of hours of manual coding on client projects. Performance is evaluated on the efficiency, robustness, and classification accuracy of the automated NLP routines.
 </li>
 <li>
 Data Quality &amp; Validation - Execute rigorous quality control protocols across all assigned data products and research databases, including automated tests and validation checks wherever possible. The Junior Data Scientists systematically validate schemas, sample distributions, and statistical weights to verify data integrity, treating data validation as an engineering discipline. This preventative auditing mitigates the risk of reporting flawed conclusions to high-profile entertainment clients. Successful execution is measured by the complete absence of formatting or calculation errors in final delivery files.
 </li>
 <li>
 Client Collaboration &amp; Technical Delivery &ndash; Work closely with product managers, engineers, and senior data scientists in a collaborative, software-development style &ndash; gather requirements, contributing to technical scoping, and participating in agile ceremonies and code reviews.
 </li>
 <li>
 Cross-Functional Initiative Support - Participate actively in company-wide product development initiatives, research-on-research experiments, and technical thought leadership groups. The Junior Data Scientist collaborates across data operations, cloud engineering, product, and engineering departments to support the trial of new analytical and engineering methodologies. This cross-pollination of ideas ensures the product data science team remains at the forefront of marketing science and technical innovations. Engagement in these initiatives is demonstrated by active participation in internal sharing sessions and support for pilot projects.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 We genuinely don&rsquo;t mind what is written on your certificate. While we would love you to have a formal qualification in any discipline that builds strong analytical and problem-solving skills, we primarily care that you're clever, rigorous, and can do the job. Equivalent practical experience - whether self-taught, through bootcamps, open-source contributions, a strong portfolio, or prior industry work - is just as welcome as a formal degree.
 </li>
 <li>
 A successful applicant must demonstrate solid programming ability (Python and ideally SQL) and an interest in writing good, maintainable software - not just scripts.
 </li>
 <li>
 A successful applicant must further demonstrate a genuine appetite for technical depth, mathematical rigour, and continuous learning.
 
 
 </li>
 </ul>
 
 Who We Are
 
 
 
 MarketCast measures what moves people. Powered by AI, trained on decades of verified consumer response data, and backed by proprietary technology, MarketCast is the marketing effectiveness partner for the world's most ambitious brands, connecting emotional resonance to real-world business outcomes across advertising, sponsorships, content, brand health, and advanced analytics. With category-deep expertise spanning sports, entertainment, travel, automotive, and consumer brands, our team of
 
 
 seasoned industry strategists brings unmatched human intelligence to every engagement, turning complex data into decisive action so brands know exactly what's working, why it's working, and what to do next.
 
 
 At MarketCast, we don't just accept difference - we embrace it, support it, and thrive on it for the benefit of our global culture and success. MarketCast is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. Check us out on LinkedIn and at: www.marketcast.com
 
 
 
 Our Values
 
 
 
 
 Move The Needle
 
 
 
 We turn insight into action and action into impact, acting with urgency and intention at every level, anticipating what's needed, executing with discipline, and driving outcomes that are measured and meaningful.
 
 
 
 Client Success is Our Scoreboard
 
 
 
 We win when our clients win. Delivering scaled, tech-enabled solutions that drive measurable impact and value to build lasting partnerships.
 
 
 
 Grow Every Day
 
 
 
 Expertise is earned continuously by investing in our craft, our colleagues, and our company.
 
 
 
 Own It
 
 
 
 Take responsibility for outcomes, not just outputs.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Free movie tickets!
 </li>
 <li>
 29 days annual leave PLUS Bank Holidays
 </li>
 <li>
 Flextime with core hours between 10am and 3pm
 </li>
 <li>
 2 days&rsquo; work from home per week
 </li>
 <li>
 4% match pension scheme
 </li>
 <li>
 Enhanced maternity pay
 </li>
 <li>
 Regular social events in both UK locations
 </li>
 <li>
 Professional growth and career development including LinkedIn Learning
 
 
 </li>
 </ul>
 In addition to your salary, MarketCast believes in providing a competitive total rewards package for its employees. All benefits are subject to eligibility requirements, and the terms of our official plan may be modified or amended from time to time.
 
 
 GENERAL DATA PROTECTION REGULATION (UK GDPR) NOTICE: The organisation collects and processes personal data relating to its applicants, employees and former employees to manage pre-employment and employment relationships and post-employment obligations. The organisation is committed to being transparent about how it collects and uses that data and to meeting its data protection obligations. For further information on the information we collect, how it&rsquo;s used, and how it's protected, please contact the MarketCast UK HR Team.
</div>

Junior Data Scientist I

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