At a Glance
- Tasks: Lead the development of predictive models and advanced analytics solutions.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Mentorship opportunities and a dynamic environment for continuous learning.
- Why this job: Make a real impact by solving complex business problems with data science.
- Qualifications: Degree in relevant field and 4+ years in data science or statistical roles.
The predicted salary is between 60000 - 80000 £ per year.
The Role
You are a senior technical authority within the Data Science capability.
You are responsible not only for building models, but for defining what should be built, ensuring quality, and bridging the gap between business outcomes and technical delivery.
In Phase 1, you will operate in a dual-mode environment: supporting the existing estate (Lane 1) while contributing to the build of a modern, governed data platform (Lane 2).
You do not spend most of your time cleaning data.
Instead, you define the data requirements (features, structures, behaviours) needed for modelling, working closely with the Lead Data Modeller and Data Engineering teams to ensure the right data is built upstream.
Your responsibilities
- Hands on Model Development & Deployment
- Build and deploy predictive models and advanced analytics solutions for high-value use cases.
- Own the most complex and high-impact modelling problems.
- Ensure robustness, explainability, and performance of models in production.
- Requirement Definition
- Define the features and datasets required for modelling.
- Collaborate with the Lead Data Modeller to shape semantic definitions and structures.
- Work with Engineering to ensure pipelines support modelling needs.
- Business Partnership
- Translate business problems into analytical approaches.
- Challenge poorly defined requests and drive clarity on outcomes.
- Communicate trade-offs between model complexity, data availability, and delivery timelines.
- Quality, Rigour & Standards
- Establish and enforce best practices for modelling, evaluation, and deployment.
- Implement peer review processes for models and code.
- Ensure ethical and responsible use of data and AI.
- Mentorship & Leadership
- Mentor junior and mid-level Data Scientists.
- Support capability development and knowledge sharing.
- Act as a confident voice in shaping Data Science practices.
- Cross-Discipline Collaboration
- Work closely with the Lead Data Modeller to define ‘Gold’ data required for analytics.
- Partner with Data Engineers to ensure model readiness and operational deployment.
- Align with Delivery Lead on prioritisation and feasibility.
Your Profile
EXPERIENCE AND QUALIFICATIONS
- Degree in a relevant field such as Computer Science, Mathematics or Engineering.
- At least 4 years of experience in a data science or statistical role with a proven track record of delivering impactful solutions.
- Experience in developing and deploying machine learning models and statistical analysis.
- Familiarity with distributed computing tools and cloud platforms (e. g., Azure Synapse, Snowflake, Databricks).
- Experience with data transformation and analytics tools (e. g., Python, SQL, Spark SQL).
- Proven ability to work with large datasets and complex data structures.
- Strong background in applying statistical and machine learning techniques to solve business problems.
SKILLS AND COMPETENCIES
- Technical skills - Proficiency in Python, R, SQL and machine learning frameworks with advanced knowledge of statistical techniques, data modelling, cloud platforms and data visualisation tools.
- Problem-solving and Analytical skills - Ability to translate complex data into actionable insights and develop predictive models for business solutions.
- Communication and Collaboration - Strong communication skills to convey technical concepts to non-technical stakeholders, collaborate across teams and mentor colleagues.
- Continuous Learning and Innovation - Stay updated on data science, AI, machine learning and emerging technologies.
Sr Data Scientist in London employer: Tcs Uk
As a Data Governance Specialist at our company, you will be part of a dynamic team dedicated to driving customer excellence through robust data governance practices. We pride ourselves on fostering a collaborative work culture that values innovation and continuous learning, offering ample opportunities for professional growth in a supportive environment. Located in a vibrant area, our workplace not only provides a stimulating atmosphere but also encourages a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Data Scientist in London
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We think you need these skills to ace Sr Data Scientist in London
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 Tcs Uk, 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 Tcs Uk. 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 Tcs Uk
✨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 Tcs Uk!
✨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.
