At a Glance
- Tasks: Design and optimise machine learning models for recommendations and ranking systems.
- Company: Join Acuity Analytics, a global leader in digital transformation.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Other info: Work in a dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact by solving complex business challenges with cutting-edge technology.
- Qualifications: Experience in machine learning, NLP, and strong programming skills in Python.
The predicted salary is between 60000 - 80000 £ per year.
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 .
Senior Data Scientist (Machine Learning & NLP) employer: Acuity Analytics
At Acuity Analytics, we pride ourselves on being an exceptional employer that values innovation, collaboration, and personal growth. As a Principal Cloud & Platform Engineer, you will be part of a dynamic team that not only tackles complex challenges but also fosters a supportive work culture where your contributions are recognised and your professional development is prioritised. With opportunities to mentor future leaders and influence engineering strategy, you'll find a rewarding environment that encourages continuous improvement and embraces cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (Machine Learning & NLP)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Acuity Analytics!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist (Machine Learning & NLP) at Acuity Analytics.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Acuity Analytics.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist (Machine Learning & NLP) at Acuity Analytics, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist (Machine Learning & NLP)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Acuity Analytics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Acuity Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Acuity Analytics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Acuity Analytics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
