senior data analyst

Boston Consulting Group (BCG)

<div>
 Who We Are
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 What You'll Do
 
 
 Are you passionate about harnessing the power of Generative AI to solve real-world
 
 
 problems? As a world-renowned and leading AI Consulting firm, we are actively
 
 
 seeking hands-on GenAI experts to join our PSG BI&amp;A Team.
 
 
 As a GenAI IT Senior Data Scientist you will work closely with our Partner Services
 
 
 Group to understand their key challenges, define GenAI products, win buy-in for your
 
 
 recommendations and collaborate with other IT teams to transform stakeholder
 
 
 potentials into performance.
 
 
 Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&amp;A Data
 
 
 Science expertise and will be responsible for overseeing end-to-end Data Science and
 
 
 GenAI solutions, collaborating closely with the BI&amp;A Squad to deliver on stakeholder
 
 
 objectives.
 
 
 What You'll Bring
 
 
 We&rsquo;re looking for exceptional talent with experience in core Data Science and AI
 
 
 
 To Join Us. You Will Typically Have
 
 
 
 <ul>
 <li>
 +4 years experience in IT strategy and consulting, professional software
 
 
 </li>
 </ul>
 development or Data Science product organisation.
 
 
 <ul>
 <li>
 A bachelor's or master&rsquo;s degree in computer science, Engineering, or a related
 
 
 </li>
 </ul>
 field. Preferably with a focus on artificial intelligence, machine learning, or
 
 
 data science.
 
 
 <ul>
 <li>
 Strong Data Science experience with proficiency in Python, Snowflake, DBT
 
 
 </li>
 </ul>
 and Tableau with experience working in a Data Engineering team and a
 
 
 proven ability to communicate effectively and provide clear, actionable
 
 
 insights to senior stakeholders
 
 
 <ul>
 <li>
 Strong technical expertise in Generative AI, Data Science and Machine
 
 
 </li>
 </ul>
 Learning.
 
 
 <ul>
 <li>
 A strategic thinker, entrepreneurial, able to work creatively and analytically in
 
 
 </li>
 </ul>
 a problem-solving environment
 
 
 <ul>
 <li>
 Outstanding analytical and conceptual skills, strong customer focus and
 
 
 </li>
 </ul>
 mental agility with a results orientation
 
 
 <ul>
 <li>
 Sound understanding of GenAI solution constructs e.g., LLMs, RAG,
 
 
 </li>
 </ul>
 Guardrails, MLOps and multi-modality
 
 
 <ul>
 <li>
 Experience managing and executing data science and AI projects, from
 
 
 </li>
 </ul>
 ideation to deployment, while ensuring alignment with business objectives
 
 
 and delivering impactful outcomes
 
 
 <ul>
 <li>
 Understanding of various GenAI platform &amp; middleware and how they fit in
 
 
 </li>
 </ul>
 GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or
 
 
 LlamaIndex
 
 
 <ul>
 <li>
 Able to understand &amp; apply advanced prompt engineering methods and
 
 
 </li>
 </ul>
 related concepts (RAG, context windows, memory) RAG is a must!
 
 
 <ul>
 <li>
 Experience in the organisation of workshops at peer level and facilitating
 
 
 </li>
 </ul>
 meetings
 
 
 <ul>
 <li>
 Ability to work autonomously while contributing effectively as part of a team
 </li>
 <li>
 Strong business acumen; can frame complex problems in appropriate
 
 
 </li>
 </ul>
 business contexts
 
 
 <ul>
 <li>
 Highly professional and rigorous, results-oriented, driven and hard-working
 </li>
 <li>
 Have excellent verbal and written communication skills in English
 </li>
 <li>
 Loyal and reliable, possessing the highest ethical standard
 </li>
 <li>
 Good interpersonal skills but also judgement independency and autonomy
 </li>
 <li>
 Ability to propose innovative ideas, build empathy within the firm and win the
 
 
 </li>
 </ul>
 trust of key stakeholders
 
 
 Who You'll Work With
 
 
 You will be part of the PSG BI&amp;A Squad and our IT Functional Technology team,
 
 
 partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI,
 
 
 and Security/Architecture teams. Together, you&rsquo;ll deliver scalable, secure, and
 
 
 innovative GenAI solutions that will transform how PSG teams engage with
 
 
 technology.
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
</div>

Global IT Data Scientist Senior Specialist

Hastings Direct

<div>Job title: Senior Data Scientist &ndash; Pricing
Location: London / Leicester / Bexhill - Hybrid
Welcome to Hastings Direct
We&rsquo;re a digital insurance provider with ambitious plans to become the best and biggest in the UK market. We&rsquo;ve made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture.
We provide insurance for over four million customers, but we know there&rsquo;s even bigger opportunity out there &ndash; our Pricing, Data and Analytics community value curiosity, collaboration and constructive challenge.
We are always looking for new ideas and diverse perspectives to question established thinking and drive meaningful change. Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair and accurate price based on their individual risk, supporting fair outcomes, while delivering sustainable and profitable growth for our company.
Pricing is more than just a number &ndash; it&rsquo;s a strategic capability. At the heart of Hastings is deep risk insight &ndash; continually improving how we assess, segment and price risk through data and analytics.
Role overview
We are Looking for an experienced Data Scientist that want&rsquo;s to break free of the normal and develop real innovation to the Insurance Industry! 
The Senior Data Scientist will assist in the identification and creation of cutting-edge data assets and predictive models that feed into Hastings&rsquo; market-leading pricing activities. This role is within a challenger product with a team comprising Data Scientists/Modellers as well as Analysts all championing alternative ways of risk analysis and market pricing.
We are looking for individuals to leverage new a new tech stack that enhances our potential model deployment capabilities. It is great that you are looking to build your career with us, please ensure you invest time in your application and where appropriate, use your internal network to help support your interest.
Key Responsibilities
<ul><li>Create and maintain analytical tools to support in the management of our risk portfolio.</li><li>
Develop best in-class models to predict claims outcomes, fraud and other risk KPIs.</li><li>
Engineer powerful new rating factors to be deployed into our rating algorithms.</li><li>
Identify, analyse and monetise new data sources.</li></ul>
Essential skills/experience:
<ul><li>Multiple track record of delivery of ML projects from EDA to deployment ,post deployment evaluation and model refreshing.</li><li>
Experience in liaising with multiple stakeholders to effectively frame problems and building solutions with effective commercial outcomes.</li><li>
Keen interest in emerging ML techniques and their commercial value.</li><li>
Proficiency in Python, SQL, Azure ML, Git, Azure Cloud Services</li><li>
Strong communication skills.</li><li>
Ability to work cross-functionally with Data Engineers, Data Scientists, Actuaries and Pricing Analysts.</li></ul>
Personal Attributes<ul><li>
Natural problem solver who loves building quality solutions to complex real-world challenges</li><li>
Focuses on the bigger picture but not afraid to get into the detail when necessary</li><li>
Dynamic, flexible, and delivery-focussed work ethic required to adapt to a fast paced environment</li><li>
Takes ownership and accountability for key projects and workstream</li></ul>
The interview process:
Our interview process involves the below:<ul><li>
Recruiter screening call</li><li>
1st stage interview &ndash; Initial Intro with hiring leader</li><li>
2nd interview (Technical) will include panel</li><li>
3rd Short call with Hiring Leader</li></ul>
As a Disability Confident employer, we&rsquo;re committed to ensuring our recruitment processes are fully inclusive &ndash; what this means to you is if you&rsquo;re applying for a job with us, you&rsquo;ll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS).For more information on the DCS, please visit our inclusive business page on our careers website
Benefits: in addition to a competitive salary and &pound;5k car allowance you will also receive&hellip;
Flexible working &ndash; we champion a flexible hybrid working approach &ndash; please speak to your recruiter to discuss in more detail
Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus
Physical wellbeing &ndash; as a Band 4 colleague, Hastings pay for you to receive private medical Insurance (also known as PMI). This gives you flexibility and convenience to see a specialist or consultant and allows you to decide when and where you will be seen
Financial wellbeing &ndash; as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%, we are proud to provide you with an award winning package which includes &ndash; discounts, cashback, free independent mortgage advice and free access to financial wellbeing support
Mental wellbeing programme &ndash; we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs
There's more! &ndash; 27 days annual leave + bank holidays, with the option to buy or sell one of your weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more &hellip;.
Join us and you&rsquo;ll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, you&rsquo;ll be helping to drive our growth, so in return, we&rsquo;ll give you all the support, training and development you need.
Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job, we&rsquo;ll deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve.
At Hastings Direct, we&rsquo;re committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.
Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.
At Hastings Direct, we&rsquo;re committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.
Job posting end date:</div>

Senior Data Scientist - Pricing

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

Xantura

<div><h3 class="jobSectionHeader">Description</h3><div> 
In this role you will work in the Data &amp; Analytics Consulting team, a client-facing function responsible for the technical configuration and deployment of the OneView platform. 
</div><div>You&rsquo;ll work directly with our clients to deliver seamless software implementation, data extraction, data engineering, data science, product configuration and data visualisation. As a multi-skilled technical professional, you&rsquo;ll be capable of independently managing all of these technical aspects of client deployment, as well as supporting the client through the process. 
</div><div>You&rsquo;ll collaborate with Business Consultants, who oversee the non-technical elements of delivery, as well as other key teams including Information Governance (privacy and security), Platform Delivery (core product development), and Quality Assurance (testing and validation).</div> 
<h3 class="jobSectionHeader">
Key Responsibilities</h3><div> 

Technical delivery 
</div><ul><li>Data extraction - Support the client&rsquo;s technical team to install IG Bridge, adapt scripts, address quality issues, ultimately leading to clean data extraction</li>
<li>Data science - Configure existing predictive models to meet the client&rsquo;s needs, undertake technical scoping for new/iterated predictive models, apply descriptive analytics techniques to extract meaningful insight from client data, build proxy predictive models to demonstrate potential value early on.</li>
<li>Cohort building - Build preventative cohorts, test and adapt these with the client to optimise accuracy &amp; efficacy</li>
<li>Dashboards &ndash; Design and build/adapt dashboards to meet the client&rsquo;s needs and tell them what they need to know in a clear, intuitive way</li>
<li>Platform evolution &ndash; Integrating innovations and evolutions from your clients into the core platform for other clients to benefit from</li>
</ul><div>Project management - Scope and project manage all technical aspects of deployment to a client 
 
Problem solving and storytelling &ndash; Use your technical and analytical skills alongside your deep client understanding, technical expertise and market knowledge to extract interesting key insights from the client data and create compelling stories. 
</div><div>Communication and stakeholder management - Communicate the technical aspects of delivery to the client simply and clearly, enabling the deployment to be delivered rapidly and smoothly 
</div><div>Benefits tracking &ndash; Understand what metrics matter to clients and how our platform delivers financial value to them. Build tracking tools and engage the client on them. 
</div><div>Client upskilling &ndash; Support client counterparts in their technical knowledge and understanding, helping them take on a stewardship function &amp; future configuration 
</div><div>Collaboration &ndash; Partner with the Business Consulting team to deliver client projects</div> 
<h3 class="jobSectionHeader">
Skills, Knowledge &amp; Expertise</h3><div> 
We&rsquo;d love to hear from you if you have: 
</div><div>4+ years&rsquo; experience across data and analytics, including data engineering, data science, and data visualisation:</div><ul>
<li>Proficiency in Python, SQL, and R for data manipulation and querying</li>
<li>Familiarity with relational databases such as SQL Server, Oracle</li>
<li>Understanding of various data formats, including CSV, JSON, and XML</li>
<li>Experience with cloud platforms, particularly Azure or AWS</li>
<li>Strong storytelling and data visualisation skills, including scoping, designing, and delivering engaging client-facing insights using PowerPoint and sustainable dashboards using Power BI and Tableau</li>
<li>Experience with QA processes, including unit, regression and integration testing, and producing high-quality analytical code that is traceable and repeatable</li>
<li>Knowledge and experience of machine learning techniques, including supervised ML, unsupervised ML, and LLMs</li>
<li>Experience with deployment tools and processes, such as Azure Data Factory (ADF), Azure ML and batch processing</li>
<li>Experience using DevOps or equivalent agile development environments</li>
</ul><div>4+ years&rsquo; experience leading clients through complex technical projects &mdash; you know how to navigate challenges, keep things on track, hit deadlines, communicate progress and deliver results. 
 
Sharp analytical skills &mdash; you love digging into data, solving problems, and turning insights into action. You&rsquo;re skilled in statistical analysis, regression, correlation analysis, and exploratory data analysis (EDA) 
 
Exceptional communication and stakeholder management skills &mdash; you can influence at all levels and translate technical concepts into business value. 
 
Strong understanding of technology project development and delivery, ideally within a high-growth tech company 
</div><div>A passion for social impact &ndash; you&rsquo;re excited about what we&rsquo;re doing and driven to help Xantura succeed 
</div><div>Bonus Points if you have: 
 
Experience working with the public sector (local or central government) or as a vendor/consultant to public sector clients 
 
Familiarity with privacy, security, and information governance in data projects</div><div> 
 
 
</div> 
<h3 class="jobSectionHeader">About Xantura</h3><div>
At Xantura, we&rsquo;re on a mission to reduce societal inequality by helping local authorities use data more effectively. Our AI-driven platform empowers frontline workers with the insights they need to prevent complex issues like homelessness or children being taken into care &mdash; before they happen. We make this possible by connecting siloed datasets, applying advanced machine learning to enrich the data, and using predictive analytics to identify those most at risk. Our platform then distills this into clear, actionable insights that help frontline staff intervene early and make a real difference. 
 
It&rsquo;s an exciting time to join Xantura. We&rsquo;re scaling quickly, bringing on new clients, strengthening our platform, and expanding into new areas. While we&rsquo;re a technology company at heart, our true focus is on improving lives &mdash; and we&rsquo;re looking for people who share that vision.</div></div>

Senior Data & Analytics Consultant

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

Deltatre

<div>We are the tech company behind the media and sporting moments that matter.
Over four decades, Deltatre has grown to employ more than 1,000 experts worldwide.
We're trusted by the biggest broadcasters, telcos, media companies, sport governing bodies, leagues, and federations.
Our products, innovation, dependability, and people continue to redefine how the value of live and on-demand sport, film, TV, and news content is maximized across streaming, digital, data, graphics, officiating, and through marketplace strategy and growth services. 
 
<h2 class="jobSectionHeader">Stellenbeschreibung:
</h2><ul><li>Immediate start</li><li>
Central location</li><li>
International company</li></ul>
Who We Are 
The QA team at Massive comprises of the most talented Testers professionals in the industry. Daily, we pioneer new ways for consumers to interact with technology and take pride in delivering world-class experiences on emerging technologies.
Our premium UI software products and UXD consultancy are the principal choice of leading telecom, cable, broadcast, media and aviation companies.
We thoroughly enjoy collaborating with each other, and have a passionate and fun culture! 
You 
You are a smart, experienced, creative and naturally inquisitive Tester, who has a strong passion for testing and technology. You believe in the importance of embodying our clients&rsquo; brand into the overall experience and you have a strong understanding or interest of TV apps. 
Role Responsibilities:<ul><li>
To work within the Analyst team to assist with the preparation of test plans and the testing of software to company guidelines and standards.</li><li>
To assist in the preparation of test plans and test scripts.</li><li>
To ensure high quality and accuracy is maintained through to software release.</li><li>
To prepare and maintain test plans for use on automated testing tools.</li><li>
To prepare a test plan and test scripts to test each software component and demonstrate the business condition under test and the expected results.</li><li>
To provide feedback to the development team and ensure the work is carried out in accordance with the schedule and the quality requirements.</li><li>
To provide estimates and feedback to the Software Development team for project scheduling purposes.</li></ul>
Other responsibilities:<ul><li>
Liaising with Project Managers</li><li>
Working to the specified timeframe or budget</li><li>
Communication of job status to project leader</li><li>
Daily submission of detailed timesheets</li><li>
Contributing to the positive growth of work environment and Analyst team</li><li>
Demonstrate and maintain a positive attitude to all assignments</li><li>
Other duties as required</li></ul>
Some of our company perks<ul><li>
25 days of annual leave per year</li><li>
5 Sickdays</li><li>
English/Czech lessons</li><li>
Coffee/tea and daily office snacks and fruit</li><li>
Friday drinks and end of month celebrations</li><li>
Small, creative, close-knit QA team who love to collaborate</li><li>
Casual dress code</li></ul>
Regular attendance on-site at Massive Prague, Czech Republic office 
For information about how we use your data for recruitment purposes please see our detailed policy here: https://massive.co/recruitment-data-policy/<h2 class="jobSectionHeader"> 
Anforderungsprofil:
</h2>You operate at the level where architecture becomes a question of judgement, not just technique. You make Android platform decisions that hold up over years, document them clearly, and bring other engineers along with you. You are credible across multiple Android teams because you do the work and you say what you actually think &mdash; not because of your title. 
Required<ul><li>
8+ years' software engineering experience with at least 3 years at Principal, Lead, or Architect level</li><li>
Substantial production experience with Kotlin and modern Android development, with working command of Java</li><li>
Deep architectural understanding of the Android platform &mdash; lifecycle, memory, threading, performance, accessibility</li><li>
Demonstrated experience leading architecture on cloud-connected, high-availability consumer applications</li><li>
Substantial experience with cloud platforms (AWS, Azure, or GCP) and how mobile apps interact with them</li><li>
Demonstrated technical leadership without people management &mdash; code quality governance, mentorship, architectural decision authority</li><li>
Comfortable communicating complex Android technical topics to non-technical stakeholders</li><li>
Familiarity with Agile methodologies and DevOps practices</li></ul>
Valued<ul><li>
Experience across multiple Android surfaces &mdash; phone, tablet, connected TV (Android TV / Fire TV)</li><li>
Background in OTT, video streaming, or B2C consumer apps at scale</li><li>
Experience with React Native or other cross-platform mobile frameworks</li><li>
Familiarity with sports / media tech sector</li><li>
Experience with media-specific concerns &mdash; video playback, DRM, encoding</li><li>
Experience mentoring senior engineers (not only juniors)</li><li>
Experience working in a global, distributed team environment</li></ul> 
Who Thrives Here
Principal Android engineering at Deltatre is technical authority without distance from the code. You are still the engineer who can sit down with a stuck team and work through the problem with them. You are also the person who can sit in a room with product leadership and explain, in their language, why the architectural choice that looks expensive this quarter is the cheap one for next year.
People who thrive in this role tend to be honest about technical trade-offs (they don't oversell solutions or under-warn about risks), generous with their reasoning (they explain why, not only what), and patient with the long-arc work where the value of a decision becomes visible only over multiple Android releases. The role asks for deep Android expertise plus the patience and credibility to influence other engineers without managing them. 
Process and what to expect<ul><li>
Introductory conversation: a step for us to get to know each other better, and for us to answer all questions you might have around Deltatre.</li><li>
1-hour Technical round of Interview: we will deep dive on your experience and collect examples of the responsibilities you've been dealing with in your past experience. A chance to deep dive on the role and for you to ask questions.</li><li>
1-hour Competency Based Interview: we will ask you situational questions around how you deal with real-life scenarios at work. Easier doing it, more than explaining it.</li></ul>
If any of these formats would be difficult for you, tell us &mdash; we adjust regularly and can usually accommodate.
Accessibility and accommodation questions are welcome at any stage. Tell us what would work for you.</div>

Senior Test Analyst - Brno

<div><h2 class="jobSectionHeader">Description</h2>
<div>
The Principal Microsoft Defender XDR, IRM &amp; Deception Engineer, working within the Global Information and Cyber Security Defence (ICSD) function, is the technical leader for enterprise cyber deception and unified detection and response across the Microsoft security ecosystem. The role focuses on building, operating, and continuously evolving an enterprise-grade Insider Risk Management (IRM) and deception programme - including honeypots, honeytokens, decoy users, decoy devices, deceptive credentials, and breadcrumbs - fully integrated with Microsoft Defender XDR (Defender for Endpoint, Defender for Identity, Defender for Office 365, and Defender for Cloud Apps), Microsoft Sentinel, and Microsoft Security Copilot.

The role exists to detect adversaries earlier in the kill chain by deceiving attackers into engaging with high-fidelity traps, while delivering unified detection, automated investigation, and response across endpoint, identity, email, and cloud workloads. It combines deep deception engineering expertise with hands-on Defender XDR mastery and the use of Agentic AI to drive proactive, intelligence-led, and largely autonomous security operations.

The Role:
<ul>
<li>Deception Engineering Leadership<ul>
<li>Own and lead the enterprise cyber deception programme end-to-end, including strategy, architecture, deployment, operations, and continuous improvement.</li>
<li>Design, deploy, and operate a layered deception fabric across on-premises, hybrid, and multi-cloud environments using honeypots, honeytokens, decoy accounts, decoy devices, deceptive files / shares, and breadcrumbs.</li>
<li>Act as the technical authority for deception engineering and Microsoft Defender XDR across the enterprise.</li>
</ul></li><li>Honeypots, Honeytokens, Decoys &amp; Breadcrumbs<ul>
<li>Design and operate the full deception asset lifecycle, ensuring high-fidelity, low-noise detections that are realistic, attacker-grade, and resilient to evasion.</li>
<li>Deploy and manage Microsoft Defender for Identity deceptive accounts, deceptive devices, and honeytoken accounts across Active Directory and Microsoft Entra ID.</li>
<li>Build and maintain a portfolio of deception assets, including:<ul>
<li>Honeypot systems (low-, medium-, and high-interaction) across on-prem, Azure, AWS, GCP, and OCI</li>
<li>Honeytoken credentials, API keys, OAuth tokens, secrets, and SaaS accounts</li>
</ul></li><li>Decoy users, decoy devices, decoy shares, decoy files, and decoy databases<ul>
<li>Plant attacker-grade breadcrumbs across endpoints, identities, and cloud workloads, including:</li>
<li>Saved credentials, browser cookies, RDP and SSH artefacts</li>
<li>LSASS-resident credentials and cached tokens on selected lures</li>
<li>Fake Kerberos service accounts and SPNs to bait Kerberoasting and AS-REP roasting</li>
</ul></li><li>Continuously evolve deception techniques, lure design, and trap placement aligned to current attacker TTPs, red-team findings, and breach intelligence.</li>
<li>Govern the deception programme with clear standards for asset realism, segmentation, monitoring, and safe operation (no production impact).</li>
<li>Validate deception coverage through red-team, purple-team, and breach-and-attack simulation (BAS) exercises.</li>
</ul></li><li>Microsoft Defender XDR Leadership<ul>
<li>Lead the design, implementation, and optimisation of Microsoft Defender XDR across endpoint, identity, email, and cloud-app workloads.</li>
<li>Integrate all deception signals (honeypot, honeytoken, decoy, breadcrumb) into Defender XDR and Microsoft Sentinel as first-class, high-fidelity detections.</li>
<li>Define and enforce a unified detection and response strategy across the Microsoft security stack.</li>
</ul></li><li>Defender for Identity &amp; Identity Deception<ul>
<li>Lead operation and optimisation of Microsoft Defender for Identity (MDI) to detect identity-based attacks, including:<ul>
<li>Credential theft, Kerberoasting, AS-REP roasting, Pass-the-Hash, and Pass-the-Ticket</li>
<li>Lateral movement, reconnaissance, and privilege escalation</li>
<li>Misuse of deceptive / honeytoken accounts as early-warning tripwires</li>
</ul></li><li>Integrate MDI, deception, and Microsoft Entra ID signals into Defender XDR, Microsoft Sentinel, and SOAR workflows for unified investigation and response.</li>
</ul>
</li><li>Data Protection, DLP &amp; Insider Risk Management
<ul>
<li>Lead the design and implementation of Microsoft Purview Data Loss Prevention (DLP) policies across endpoints, cloud apps, and collaboration platforms</li>
<li>Define and enforce data protection controls to prevent unauthorised data exfiltration and misuse</li>
<li>Leverage Microsoft Insider Risk Management (IRM) to detect risky user behaviour, including data leaks, policy violations, and insider threats</li>
<li>Correlate DLP, IRM, and identity signals with Microsoft Defender XDR to provide unified incident context</li>
<li>Collaborate with Risk, Compliance, and Legal teams to align DLP and insider risk controls with regulatory and business requirements</li>
<li>Continuously optimise detection use cases combining identity, data, and behavioural analytics</li>
</ul></li><li>Endpoint, Email &amp; Cloud App Detection<ul>
<li>Lead detection engineering across the Defender XDR stack, ensuring deception assets are continuously monitored alongside production telemetry:</li>
<li>Microsoft Defender for Endpoint (MDE) - EDR policies, ASR rules, and decoy-device monitoring</li>
<li>Microsoft Defender for Office 365 (MDO) - anti-phishing, Safe Links, Safe Attachments, and honeytoken inboxes</li>
<li>Optimise automatic attack disruption, automated investigation and response (AIR), and self-healing capabilities to:<ul>
<li>Disrupt in-progress attacks at machine speed, including deception-triggered intrusions</li>
<li>Reduce analyst workload through high-confidence automation</li>
<li>Improve coverage for ransomware, BEC, and identity-based attacks</li>
<li>Ensure consistent telemetry ingestion and detection parity across Windows, macOS, Linux, mobile, and deception assets.</li>
</ul></li></ul></li><li>Multi-Cloud Deception &amp; Detection (AWS, GCP, OCI)<ul>
<li>Extend the deception programme and Defender-style detection capabilities consistently across AWS, GCP, and OCI, including:</li>
<li>Cloud honeypots, decoy IAM roles, and honeytoken cloud credentials / API keys</li>
<li>Control-plane, workload, container, and Kubernetes threat detection</li>
<li>Cross-cloud identity and access misuse detection</li>
<li>Ensure consistent detection, deception, and response coverage across hybrid and multi-cloud environments.</li>
</ul></li><li>Automation, Agentic AI &amp; Continuous Improvement<ul>
<li>Drive automation of deception deployment, detection, investigation, and response workflows using Microsoft Sentinel SOAR, Logic Apps, and Microsoft Security Copilot.</li>
<li>Define KPIs and metrics covering deception engagement, detection coverage, and response maturity.</li>
<li>Continuously improve detection, hunting, and deception capabilities to align with emerging threats and adversary tradecraft.</li>
</ul></li><li>Stakeholder Engagement &amp; Technical Leadership<ul>
<li>Lead and grow a team of Defender XDR and Deception Engineers, setting technical direction, standards, and delivery priorities.</li>
<li>Partner with SOC, CTI, Identity, Cloud, and Engineering teams to embed deception and Defender XDR detection into all enterprise platforms.</li>
<li>Provide mentorship and leadership to deception engineers, detection engineers, threat hunters, and SOC analysts.</li>
<li>Communicate deception strategy, detection coverage, residual risk, and security improvements to senior stakeholders.</li></ul></li></ul> 


</div><h2 class="jobSectionHeader">Qualifications</h2>
<div>
What you'll bring:

Required Skills &amp; Experience:
<ul>
<li>Proven experience designing and operating enterprise cyber deception programmes (honeypots, honeytokens, decoy users, decoy devices, breadcrumbs) at scale.</li>
<li>Extensive hands-on experience operating and engineering Microsoft Defender XDR (MDE, MDI, MDO, MDA) in large enterprises.</li>
<li>Deep expertise across the Microsoft security stack, including:<ul>
<li>Microsoft Defender for Identity (MDI) deceptive accounts, deceptive devices, and honeytokens</li>
<li>Microsoft Sentinel (analytics rules, workbooks, hunting, SOAR)</li>
<li>Microsoft Security Copilot, automated investigation &amp; response, and attack disruption</li>
<li>Microsoft Defender for Cloud Apps and Defender for Cloud</li>
</ul></li><li>Hands-on experience with:<ul>
<li>Open-source and commercial deception / honeypot platforms (e.g., Thinkst Canary, T-Pot, Cowrie, OpenCanary, Zscaler Deception)</li>
<li>Advanced KQL for detection engineering and threat hunting at scale</li>
<li>Detection-as-code, CI/CD of detection content, and security content management</li>
</ul></li><li>Strong knowledge of adversary tradecraft and frameworks:<ul>
<li>MITRE ATT&amp;CK, MITRE Engage, MITRE D3FEND, and the cyber kill chain</li>
<li>Experience leveraging Agentic AI, Microsoft Security Copilot, or AI/ML in security operations (detection, hunting, IR, automation).</li>
</ul></li><li>Proven experience leading incident response across identity, endpoint, email, and cloud domains.</li>
<li>Strong scripting / automation experience (PowerShell, Python, or equivalent).</li>
<li>Deep understanding of Zero Trust architecture and identity-centric defence.</li></ul> 


Preferred Qualifications:
<ul>
<li>Experience contributing to red-team / purple-team exercises and breach-and-attack simulation (BAS) programmes.</li>
<li>Microsoft certifications:<ul>
<li>Microsoft Certified: Security Operations Analyst Associate (SC-200)</li>
<li>Microsoft Certified: Azure Security Engineer Associate (AZ-500)</li>
<li>Microsoft Certified: Cybersecurity Architect Expert (SC-100)</li>
<li>Industry certifications (CISSP, GCIA, GCFA, GCIH, OSCP, or equivalent)</li>
<li>Cloud certifications across AWS, GCP, or OCI</li></ul></li> 
</ul>
What we offer:

Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company.

We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.

Equal Opportunity Employer

We&rsquo;re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com</div></div>

Principal Microsoft Defender XDR & Deception Engineer

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