Senior Data Scientist & AI Engineer

Every day, somewhere in the world, important decisions are made. Whether it is a private equity company deciding to invest millions into a business or a large corporation implementing a new strategic direction, these decisions impact employees, customers, and other stakeholders.

Consulting and private equity firms come to proSapient when they need to discover knowledge to help them make great decisions and succeed in their goals. It is our mission to support them in their discovery of knowledge.

We help our clients find industry experts who can provide their knowledge via interview or survey: we curate this knowledge in a market-leading software platform; and we help clients surface knowledge they already have through expansive knowledge management.

We’re on the hunt for a Senior Data Scientist to lead groundbreaking AI/ML initiatives that transform how we deliver expert recommendations, enhance information retrieval, and automate workflows. If you’re passionate about LLMs, NLP, and recommendation systems- and love seeing your work make a real commercial impact- this is the role for you!

This isn’t just about building models; it’s about solving real-world problems with AI. We need someone who thrives in a high-impact, hands-on environment, breaking down complex business challenges into well-defined data science solutions that drive tangible product and business improvements.

Why Join Us?

• Push the boundaries of AI/ML– experiment with cutting-edge technologies in a hands-on role where your work directly impacts the business.
• Own your impact– take full ownership and drive key decisions in a fast-paced, high-growth product environment.
• Be a game-changer– shape our AI strategy, pioneer innovation in expert matching and knowledge retrieval, and redefine how intelligence is leveraged at scale.

Requirements

• Develop and deploy AI/ML solutions by translating business problems into data-driven projects. Leverage state-of-the-art AI/ML models, including OpenAI, Amazon Comprehend, and open-source alternatives, for applications such as content-based recommendations, entity extraction, and text processing.
• Design and run statistically sound experiments with datasets, working closely with the business operations team to collect relevant data and evaluating models with a focus on business impact and performance.
• Build scalable AI/ML infrastructure by collaborating with engineering teams to deploy and optimize ML models in production, ensuring efficient use of OpenSearch/Elasticsearch, and Kafka for real-time data processing and search.
• Drive continuous improvement and innovation by staying updated on advancements in LLMs, ML, and AI, identifying emerging techniques to enhance models, algorithms, and system performance.
• Communicate insights effectively by presenting model results and findings to both technical and non-technical stakeholders, ensuring alignment with business objectives.

Required Qualifications

• Strong expertise in ML/NLP, including semantic search, summarization, personalization, classification, information retrieval, and recommendation systems, with a solid understanding of ML algorithms (e.g., clustering, decision trees, gradient descent).
• Experience with a modern ML-Ops workflows for developing and deploying models.
• Hands-on experience with LLMs, covering prompt engineering, fine-tuning, domain adaptation (Experience with RAG and AI agents is considered an advantage).
• Expertise in Python and any data processing frameworks and pipelines (e.g. pandas, kedro, kafka streams).
• Knowledge of backend development for deploying production-grade models.
• Ability to communicate complex technical concepts to both technical and business audiences.

Benefits

• Enjoy the flexibility of working remotely for up to 20 days each year, allowing you to tailor your work environment to your needs and embrace a change of scenery.

• Tenure Gifts.

• Employee Assistance Programme - Access to a health and wellbeing service that offers personalised advice and support from specialist teams.

• Enhanced Maternity & Paternity pay.

• Annual Leave - 25 days + bank holidays which includes a week's closure over the Christmas period to fully reset.

• MyMindPal app - Online support for mental fitness that helps people to stress less and enjoy life more.

• Corporate Events - From quarterly gatherings to our annual winter & Summer parties, we love to celebrate, collaborate and have fun together!

Want to hear more? Take a look at our careers Notion page -https://prosapient.notion.site/Careers-at-proSapient-bfb1f316031b4dabbd9d40943cc4cc6f

We are committed to building an inclusive workplace - did you know that marginalized groups are less likely to apply to jobs unless they meet every requirement listed? If you are interested in the above role, but don't necessarily tick every box, we encourage you to apply anyway - this role could still be a great match!

At proSapient, we are an equal opportunity employer. As such, we offer equal employment opportunities without regard to race, colour, religion, sex (including pregnancy and gender identity), national origin, age, disability, genetic information, veteran status and other protected class characteristics.

All employment is decided based on qualifications, merit, and business need. Due to the regulated nature of our clients, all successfully offered candidates are subjected to thorough screening & pre-employment checks, including an enhanced background check, which can affect the outcome of any offer of employment.