At a Glance
- Tasks: Collaborate with a diverse team to develop advanced analytics and machine learning models.
- Company: Join our innovative Transformatics team, driving data and AI solutions globally.
- Benefits: Enjoy flexible work options, a collaborative culture, and opportunities for professional growth.
- Other info: Familiarity with tools like Snowflake and deep learning libraries is a plus.
- Why this job: Be at the forefront of data science, impacting client transformations with cutting-edge technology.
- Qualifications: Bachelor's degree in relevant fields; 3-6 years experience in statistics and machine learning required.
The predicted salary is between 30000 - 50000 £ per year.
Our Transformatics team builds data and AI products to provide analytics insights to clients and teams involved in transformation programs across the globe. The current team is composed of data engineers, data scientists and product managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI.
What You’ll Do
You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants.
You will work on topics such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of flagship products, named \"Wave\". Your work will be the backbone for how client runs future Transformations, leveraging data science assets, to improve the odds of success for our clients.
In this role, you will be involved in the following areas:
● Advanced insight generation: transforming complex business questions into statically relevant analyses and these analyses into easy to digest insights.
Delivering this through well documented and tested pipelines, that allow easy collaboration with other team members.
● Upholding technical excellence: Together with the tech lead(s) define how to build, maintain and scale our pipelines. Often piloting new technical approaches & automation.
● Using your business understanding to critically review model results, trends, analyses and classifications.
● Coach & help other colleagues: Coach & help you peers when needed, we deliver as a team.
● Machine learning model development: Lead the design and refinement of statistical models, optimization techniques, advanced machine learning, and predictive models
● LLM optimization and evaluation: Fine-tune and evaluating the performance and efficiency of Large Language Models, leveraging the latest advancements in neural network architectures and machine learning techniques
Qualifications
● Bachelor\'s degree in the field of computer science, machine learning, applied statistics, mathematics or related field required. Advanced degree is a strong plus
● Strong data translation and presentation skills with the ability to clearly and effectively communicate complex analytical and technical content
● 3-6 years of relevant experience with classical descriptive statistics, standard statistical modelling (e.g. advanced regressions, clustering, classification models) and machine learning techniques (e.g. random forest, support vector machines, gradient boosting, XGBoost)
● Programming experience in the following languages: Python and SQL
● Experience in leading complex engagements to deploy advanced analytics and data science methods at scale in real world organizations
● Exposure to extra tooling such as Snowflake, Excel and Tableau is a plus
● Familiarity with neural network architectures (Transformers), RAG models, deep learning libraries (TensorFlow/PyTorch) and machine learning libraries (scikit-learn) is a plus
Data Scientist in Birmingham employer: eTeam
As a leading employer in the data science field, our company offers a dynamic work environment where innovation thrives. With a strong focus on employee growth, we provide opportunities for continuous learning and collaboration within a diverse team of experts across various industries. Located in a vibrant city, we foster a culture of inclusivity and support, ensuring that every team member can contribute meaningfully to transformative projects while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Birmingham
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, SQL, and machine learning libraries like TensorFlow or PyTorch. Having hands-on experience with these will not only boost your confidence but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Showcase your ability to translate complex data insights into actionable business strategies. Prepare examples from your past experiences where you successfully communicated analytical findings to non-technical stakeholders, as this is a key aspect of the role.
✨Tip Number 3
Highlight any experience you have with MLOps best practices. Be ready to discuss how you've built, maintained, or scaled data pipelines in previous roles, as this will align closely with the responsibilities of the position.
✨Tip Number 4
Prepare to discuss your coaching and collaboration skills. The role emphasises teamwork, so think of instances where you've helped colleagues or led projects, and be ready to share how you fostered a collaborative environment.
We think you need these skills to ace Data Scientist in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data science, machine learning, and programming languages like Python and SQL. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter:In your cover letter, explain why you are passionate about data science and how your skills align with the responsibilities outlined in the job description. Mention specific projects or experiences that showcase your ability to deliver advanced analytics.
Showcase Your Technical Skills:Include a section in your application that details your technical skills, particularly in statistical modelling, machine learning techniques, and any relevant tools like Snowflake or Tableau. This will help the hiring team see your qualifications at a glance.
Prepare for Potential Assessments:Be ready for possible technical assessments or case studies during the interview process. Brush up on your knowledge of descriptive analytics, predictive models, and large language models to demonstrate your expertise effectively.
How to prepare for a job interview at eTeam
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python and SQL. Highlight specific projects where you've applied machine learning techniques or statistical modelling, as this will demonstrate your technical proficiency.
✨Communicate Complex Ideas Simply
Since the role involves translating complex analyses into digestible insights, practice explaining your past projects in a straightforward manner. Use examples that illustrate how you made data-driven decisions and the impact they had.
✨Demonstrate Team Collaboration
The job requires working closely with various team members. Be ready to share experiences where you collaborated effectively, coached peers, or contributed to team success. This shows you value teamwork and can thrive in a collaborative environment.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to model evaluation and optimisation. Think of scenarios where you faced challenges in your projects and how you overcame them, particularly in the context of machine learning and data analytics.
