This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. This is the job Within the telecommunications domain, we are actively seeking a Senior Data Scientist to strengthen our team focused on building AI-driven solutions that enhance customer experience and operational efficiency. You will be working on advanced Generative AI use cases, including conversational AI (chatbots and voice bots), as well as internal AI tools that support business teams in their daily operations. The role involves designing and scaling solutions such as RAG-based systems and intelligent assistants, enabling both customer-facing and internal automation scenarios. This is the team In this role, you'll become a vital member of a diverse and international Data Science team within the IT organization. The team works closely with multiple business units (B2C, B2B, Finance, Technology), delivering data-driven solutions that go beyond proof of concept and are designed for production from the very beginning. You will collaborate with data engineers, product stakeholders, and non-technical partners, contributing to end-to-end AI solution development - from ideation and prototyping to deployment and scaling. This is you - Master’s degree in AI, Machine Learning, Data Science, or a related field - 3–6 years of experience as a Data Scientist (preferably at Senior level) - Strong expertise in AI/ML and practical experience delivering business-impacting solutions - Hands-on experience with Generative AI, especially LLMs - Experience with NLP use cases (e.g. chatbots, voice bots, text processing) - Solid programming skills in Python and experience working with APIs, SQL, and Git - Experience designing and implementing production-ready solutions - Ability to communicate complex technical concepts to non-technical stakeholders Nice-to-have skills: - Experience with telecom domain or customer-facing digital products - Knowledge of Agentic AI, RAG systems, vector databases, and chunking strategies - Familiarity with LLM frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen, or similar - Experience with AWS and/or on-premise deployments - Knowledge of Docker, Airflow, CI/CD pipelines (e.g. GitHub Actions/Runners) - Experience with Google AI/NLP ecosystem This is your role - Design, develop, and scale AI/ML solutions with a strong focus on Generative AI - Build and optimize NLP-based systems, including chatbots and voice assistants - Develop and productionize RAG-based solutions and AI-powered internal tools - Collaborate with cross-functional teams to translate business needs into technical solutions - Deliver proof-of-concepts and evolve them into scalable, production-ready systems - Work closely with data engineers to ensure robust deployment and integration - Contribute to building a data-driven culture by demonstrating measurable business impact What awaits you at Avenga? At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

Data Scientist (ML) Location: Remote, but within the UK. Salary: £55,000 - £65,000  Please note: We are unable to sponsor international visas at this time. About Nexus Mods Established in 2001, Nexus Mods is the largest video game modding platform on the internet - a household name in the PC gaming ecosystem. - 71M+ registered members - 800K+ mods for 4,000+ games - 21B+ mod downloads We’re currently focused on product modernisation, driving growth and building infrastructure for the next 10 years of community-powered modding. Our Role We are looking for the first Data Scientist to join Nexus Mods. This is an opportunity to build the intelligence layer on top of our data platform, and to unlock the ML capability that's been waiting for the right person. We have invested in the foundations, and defined the ML roadmap, so you won’t be starting from scratch. Instead, you’ll step into a high leverage role where your work immediately powers discovery, personalisation, and a thriving community and ecosystem.  You’ll tackle a uniquely rich dataset (~900k mods, ~71m users) and turn it into structured, actionable intelligence that helps millions of users find what they love faster. From day one, your models will ship, your systems will scale, and your impact will be visible in real user growth.  Responsibilities:  Build the foundation (Mod Classification) - Own the end to end pipeline, powering classification at scale (~900K mods), from labelling data to production models.  - Turn raw data into structured, high-quality metadata that unlocks search, filtering, and personalisation.  - Continuously improve model performance and data quality.  Drive Discovery & Recommendations  - Build recommendation models and improve search relevance to help users find the right mods faster.  - Leverage behavioural signals and unique datasets (e.g.dependency graphs) to power smarter personalisation.  - Directly impact engagement by increasing downloads, retention, and overall activity.

We are seeking an experienced Principal Statistician to join our growing team. The successful applicant will work as part of global teams, supporting pharmaceutical, biotechnology and medical device companies across many therapeutic areas. Quanticate values quality first, integrity, care, people, commitment to delivery, and inspiration. As such, employees are offered flexible and friendly working conditions, competitive pay, industry-leading benefits, and opportunities for progression, in an environment where they are mixing with the very best experts in the field. As Principal Statistician, you will be responsible for the development, validation, and implementation of statistical models and providing statistical support for clinical studies. You will serve as a Statistical Lead for large-scale clinical trials across various therapeutic areas, ensuring that all deliverables are achieved on time and to a high level of quality. You will lead Statistical Consultancy Projects, advising clients on all aspects of statistical trial design and conduct. Key to the role is, the ability to provide face to face advice to clients on all elements of study design, whether frequentist or Bayesian in nature. Having experience of using simulation methods in trial design would be an advantage but not essential. Through all activities you will also provide guidance and mentorship to other statisticians in the group. Responsibilities - Serve as lead statistician for clinical trials including planning, analysing, and reporting, ensuring that all deliverables are met on time and to a high level of quality. - Develop and validate statistical models and analyses based on study protocols. - Write statistical analysis plans and reports. - Provide guidance and mentorship to other statisticians in the group. - Collaborate with cross-functional teams to develop study protocols and ensure they meet regulatory requirements. - To potentially take line management responsibility for junior statisticians within the team. - To lead statistical consultancy projects as required, providing expert statistical advice on all statistical aspects of study design and conduct. - Perform ad hoc statistical duties as required Quanticate is the world leading data-focused CRO, and we often work with our customers on their complicated clinical trials which require a high level of statistical programming, statistics and data management input. We need talented individuals to help us fulfil our customers’ needs. Our customers range from top global pharmaceutical companies where you can work as an integrated team member on a world leading clinical program, to small biotechs that are taking their first steps in clinical development We strongly advocate career development providing membership to professional societies, encouraging your involvement in their activities and committees. Together we can help you build the career you want – developing your skills, working on challenging problems, to ultimately develop clinical therapies that matter.

Role Description Centessa is seeking a Senior Scientist in Discovery DMPK to partner with pharmacologists and medicinal chemists to support the identification of lead candidates with optimal DMPK properties for potential progression into development. Reporting to the Executive Director, DMPK, this role requires understanding of pharmacokinetic (PK), pharmacodynamic/pharmacokinetic (PK/PD), and ADME principles to enable triaging & progression of small molecule leads. A qualified candidate will have previous experience in PK and PK/PD modeling, ideally for CNS drug candidates, and an understanding of vital ADME properties for CNS drug candidate progression. Key Responsibilities - Design profiling strategies (including in vitro ADME assays) to evaluate compounds and series emerging from hit identification effort - Design PK/PD strategies to advance lead identification and optimization series - Protocol development and data analysis of PK and PK/PD studies for proof-of-concept studies - Review statements of work (SOWs) to ensure alignment with project objectives - Analyze and interpret in vitro and in vivo PK and PK/PD data, ensuring accuracy and consistency - Utilize AI tools in prediction of PK properties and guide the use of such technology in supporting SAR development in lead identification and optimization phases - Author and review compound checklists for drug candidate progression - Represent the DMPK function in project team meetings; present results and contribute to data-driven decision-making. Qualifications - Ph.D. in Pharmaceutical Sciences, Pharmacology or a related field - Minimum of 4 years of industry experience in a biotech or pharmaceutical setting - Proficiency with Phoenix WinNonlin and other software for PK and PK/PD modeling in small molecule drug discovery is essential - Previous work in the early discovery and lead optimization of CNS drug candidates is essential - Strong analytical and problem-solving skills - Demonstrated ability to work cross-functionally and communicate scientific findings clearly and effectively - Collaborative mindset and sense of urgency - Proactive and excellent communication skills Requirements - The annual base salary range for this position is $160,000 - $180,000. - Individual compensation within this range will be determined based on a variety of factors, including qualifications, skills, relevant experience, and job knowledge. - This role is eligible for a discretionary annual bonus and participation in our equity program. Benefits - Comprehensive benefits package, which includes a 401(k) plan - Company-sponsored medical, dental, vision, and life insurance - Generous paid time off - Health and wellness program Work Location - The Sr. Scientist, DMPK is a remote role based in the US, with infrequent travel (~10%). EEOC Statement Centessa Pharmaceuticals believes in a diverse environment and is committed to equal employment opportunity for all its employees and qualified applicants. We do not discriminate in recruitment, hiring, training, promotion, or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Centessa Pharmaceuticals will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.