Design, build, and deploy production-ready ML models emphasizing recommendation and ranking systems. Apply NLP and behavioural analytics to large-scale datasets using Databricks and Spark. Run experiments (A/B tests), monitor and optimise live models, and collaborate with engineers and product teams to deliver measurable business impact.
About Us
Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.
About the role
We are looking for an experienced Senior Data Scientist to design, build, and optimise intelligent recommendation and ranking solutions that drive better customer outcomes.
Working as part of a collaborative data and engineering team, you will develop production-ready machine learning models, leverage behavioural analytics, and apply modern NLP techniques to solve complex business challenges. You'll work with large-scale datasets using Databricks and Spark, taking models from experimentation through to deployment while continuously improving live system performance.
This is an exciting opportunity for someone who enjoys solving real-world problems and building scalable machine learning solutions that deliver measurable business impact.
Skills and experience required
Core skills
Soft skills
What you will do
Nice to Have
Why join us
People are at the heart of our business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Join us and work on innovative machine learning solutions that solve real business challenges while collaborating with talented teams across data, engineering, and analytics. Check out this page for more details.
Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.
About the role
We are looking for an experienced Senior Data Scientist to design, build, and optimise intelligent recommendation and ranking solutions that drive better customer outcomes.
Working as part of a collaborative data and engineering team, you will develop production-ready machine learning models, leverage behavioural analytics, and apply modern NLP techniques to solve complex business challenges. You'll work with large-scale datasets using Databricks and Spark, taking models from experimentation through to deployment while continuously improving live system performance.
This is an exciting opportunity for someone who enjoys solving real-world problems and building scalable machine learning solutions that deliver measurable business impact.
Skills and experience required
Core skills
- Strong commercial experience in Machine Learning and predictive modelling.
- Experience with behavioural analytics and user behaviour modelling.
- Hands-on experience with Natural Language Processing (NLP).
- Strong experience using Databricks and Apache Spark.
- Experience building recommendation or ranking systems.
- Strong knowledge of statistical modelling and model evaluation techniques.
- Experience designing and analysing product experimentation (A/B testing and experimentation frameworks).
- Strong programming skills in Python and experience working with machine learning libraries.
- Experience working with large datasets and developing scalable ML solutions.
Soft skills
- Strong analytical and problem-solving skills.
- Ability to communicate technical concepts to both technical and non-technical stakeholders.
- Collaborative approach with experience working in cross-functional Agile teams.
- Passion for building production-quality machine learning solutions.
- Ability to balance experimentation with delivering measurable business value.
What you will do
- Design, build, and deploy machine learning models for recommendation and ranking systems.
- Analyse behavioural data to identify patterns and opportunities for optimisation.
- Develop NLP solutions to enhance intelligent matching and search capabilities.
- Build scalable machine learning pipelines using Databricks and Spark.
- Design, execute, and evaluate product experiments to improve model performance.
- Monitor, optimise, and continuously improve production machine learning models.
- Collaborate with Data Scientists, Data Engineers, Product Managers, and stakeholders to deliver high-impact solutions.
- Apply statistical techniques to evaluate model effectiveness and support data-driven decision making.
Nice to Have
- Experience building production-grade recommendation or matching systems within industries such as e-commerce, marketplaces, recruitment, property, or financial services.
- Experience improving live matching performance rather than developing research prototypes.
- Experience deploying and monitoring machine learning models in cloud environments.
- Familiarity with MLOps principles and model lifecycle management.
Why join us
People are at the heart of our business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Join us and work on innovative machine learning solutions that solve real business challenges while collaborating with talented teams across data, engineering, and analytics. Check out this page for more details.
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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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