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For Companies At a Glance
- Tasks: Lead advanced analytics projects to optimize products and processes using data insights.
- Company: Join a dynamic team focused on leveraging data for impactful business decisions.
- Benefits: Enjoy unlimited holiday, private health insurance, and catered lunches.
- Why this job: Be at the forefront of AI and ML, driving real business results with your data expertise.
- Qualifications: Postgraduate degree in a numerate discipline and 2+ years in data science preferred.
- Other info: Competitive salary with share options and strong career development opportunities.
The predicted salary is between 46200 - 88000 £ per year.
We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analysing data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action. They must have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
He/She/Ze must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
The Candidate
- You will be responsible for executing end-to-end advanced analytics/data science projects.
- Strong technical knowledge of designing bespoke AI and ML algorithms.
- Sound knowledge on applying various machine learning techniques in production levels.
- Business understanding – capturing and proactively initiating analysis requirements and defining success metrics.
- Data understanding – identifying and validating sources of data.
- Data preparation – extracting, merging and cleaning data from a variety of sources.
- Communicating clear recommendations and action plans to stakeholders.
- Having the skills needed to exploit the data and managing the issues of data privacy and security.
Key Activities
- Promotional Effectiveness, Sensitivity and ROI Modelling, Multi-channel Strategy Analysis.
- Innovative Segmentation and Targeting techniques, customer and geography restructures.
- Customer Intelligence to understand the needs and Priorities for the NHS.
- Sub-National Business Tool Management, analysis, including potential customer engagement.
- You have a strong software engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves.
- Experienced with managing people and debugging issues in teams.
- Comfortable working with high-performing engineering teams who have a strong sense of autonomy in their decision making, be it technical or product focussed.
- While you’re great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts in order to maintain and enhance your understanding of the challenges your teams face.
Qualifications
Skills & Experience
- A postgraduate degree preferably PhD in a numerate discipline and a minimum of 2 years working in a hands-on technical analytics/data science role within a customer data analytics team would be beneficial though not essential.
- Demonstrable end-to-end analytics / data science project lifecycle experience with a track record in being able to spot opportunities and drive them through to delivery.
- Passionate about analytics / data science. Up-to-date with the latest developments. A desire and ability to research and pick up new tools and techniques quickly is essential.
- Some Experience in running various methods like Regression, Random forest, k-NN, k-Means, boosted trees, SVM, Neural Network, text mining, NLP, statistical modelling, data mining, exploratory data analysis, statistics (hypothesis testing, descriptive statistics).
- Experience of manipulating large quantities of high-dimensional data. Ability to extract, clean, and combine data from a variety of sources and ensure high levels of data quality.
- Ability to build predictive models and customer segmentations. Solid understanding of machine learning techniques.
- Ability to communicate findings and recommendations clearly at all levels of the organisation.
- Strategic Thinking – Support the delivery of the MEDIPROSPECTS AI analytics strategy working alongside the Data Solutions Team Manager, by providing high quality data and analytical solutions.
Interpersonal requirements
- Highly effective and confident communicator with the ability to influence outcomes at all levels of the business.
- Teamwork is crucial. To be truly successful, you will need to navigate a complex matrix, build meaningful relationships along the way, ask for help, and offer help to others.
- Strong leadership skills.
- Resilient and can demonstrate that you embrace challenges, with tenacity to always do the right thing, while driving the business forward.
- Embraces diversity and has professional experience in working in different places, different industries and different geographies.
- Ability to form impactful and trusted partnerships across the network and ensure sustained, fruitful and meaningful collaboration with all relevant stakeholders.
Job: Market Research & Analytics
Job Type: Permanent
Salary: £55,000 to £80,000 per year based on experiences
Job Segment: AI, Data Science, Medical, Technology, Healthcare, Research
The benefits
- Competitive salary and share options
- Unlimited holiday
- Private health insurance
- Free catered lunches, snacks and team bonding
- Enhanced maternity & paternity leave
- Free healthcare and life assurance
- Career development, coaching and training
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Senior Data Scientist employer: Mediprospects
Contact Detail:
Mediprospects Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarize yourself with the latest machine learning techniques and tools. Since the role requires a strong technical background, being able to discuss recent advancements in AI and ML during your conversations will showcase your passion and expertise.
✨Tip Number 2
Network with professionals in the data science field, especially those who have experience in customer data analytics. Engaging with them can provide insights into the challenges they face and how you can position yourself as a solution provider.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully driven business results through data analysis. Highlighting your end-to-end project lifecycle experience will demonstrate your capability to deliver impactful insights.
✨Tip Number 4
Showcase your ability to communicate complex data findings clearly. Practice explaining your past projects and their outcomes in a way that is accessible to non-technical stakeholders, as this is crucial for the role.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and analytics. Focus on specific projects where you've used machine learning techniques, built predictive models, or worked with large datasets.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how your skills align with the company's needs. Mention specific tools and techniques you are proficient in, and provide examples of how you've driven business results through data insights.
Showcase Technical Skills: Clearly outline your technical skills related to AI and ML algorithms, data mining methods, and any programming languages you are proficient in. Highlight your experience with data preparation and analysis, as well as your ability to communicate findings effectively.
Demonstrate Interpersonal Skills: Since the role requires collaboration with various stakeholders, emphasize your teamwork and communication skills. Provide examples of how you've successfully navigated complex projects and built relationships in previous roles.
How to prepare for a job interview at Mediprospects
✨Showcase Your Technical Skills
Be prepared to discuss your experience with various data mining and analysis methods. Highlight specific projects where you successfully implemented machine learning algorithms or built predictive models, as this will demonstrate your technical expertise.
✨Communicate Clearly with Stakeholders
Practice explaining complex data insights in simple terms. During the interview, emphasize your ability to communicate findings and recommendations effectively to non-technical stakeholders, showcasing your interpersonal skills.
✨Demonstrate Business Acumen
Illustrate your understanding of how data-driven insights can drive business results. Prepare examples of how your analytical work has led to improved outcomes in previous roles, particularly in customer data analytics.
✨Emphasize Team Collaboration
Highlight your experience working in cross-functional teams. Discuss how you've navigated complex relationships and collaborated with different stakeholders to achieve project goals, as teamwork is crucial for this role.
