Senior Data Scientist (Machine Learning & NLP)

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

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.

If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.

For more details about Acuity Analytics please see here

• Read here
• .