Senior Data Scientist (5464)
Senior Data Scientist (5464)

Senior Data Scientist (5464)

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and develop data science solutions, analyse complex data sets, and build predictive models.
  • Company: Join a national law firm that values teamwork and community impact.
  • Benefits: Enjoy 25 days holiday, flexible pensions, and paid volunteering days.
  • Why this job: Be part of a friendly, inclusive culture that pushes boundaries and makes a difference.
  • Qualifications: Expertise in Python, R, SQL, and experience with machine learning and data visualisation tools required.
  • Other info: Successful applicants must complete an employment screening process.

The predicted salary is between 48000 - 84000 £ per year.

We're a national law firm with a local reach. Our legal experts are here for you. Whether it's personal or business, we understand that everyone's situation is different. But we're more than just a law firm - we're a team of people working together to help individuals and businesses navigate life's ups and downs. Working here you'll feel a part of our friendly and inclusive environment. We'll value you for who you are and what you bring. We support each other and push boundaries to achieve incredible things and make a real difference to our clients and communities. We're always looking to support our colleagues to work in a way that works best for them and everyone else, including our clients, the business and the regulators.

Your Role and What You'll Be Doing

Our vision is to put data at the heart of everything we do, to unleash its potential across the business and enable data led decisions that will increase the value of our services to clients, colleagues and communities.

Key Responsibilities:

  • Design and develop data science solutions that address opportunities defined across the business.
  • Collect, clean, and transform large and complex data sets from various sources to prepare them for analysis and modelling.
  • Apply advanced statistical and machine learning techniques to identify patterns, correlations, and trends in the data.
  • Build and validate predictive models, algorithms, and statistical analyses ensuring they are robust, scalable, and aligned with business objectives.
  • Collaborate with engineering and data platform teams to implement CI/CD pipelines, model monitoring, and automated retraining workflows to ensure business value.
  • Utilise data visualisation tools to present findings in a clear and concise manner.
  • Manage own workloads to deliver projects at pace and to a high quality.
  • Collaborate and support colleagues from across the business, applying advanced analytical techniques to ensure deeper insight to business processes and clients.
  • Share knowledge, techniques, and conduct research to improve and progress the Data & Analytics services.
  • Coordinate with analytics colleagues to ensure consistent approach to the delivery of insights and analytics.
  • Develop an understanding of the business, its services and how the business works to identify opportunities for improvement based upon data and analytics.

About You

  • Expert proficiency in programming languages such as Python, R, or SQL.
  • Significant experience with data manipulation, data wrangling, and data visualization tools (e.g., pandas, NumPy, Matplotlib).
  • Experience of developing and implementing Data Science products in a cloud environment, preferably Azure.
  • Use of tools such as Databricks, Auto ML, Azure ML, etc.
  • Proven experience in developing, deploying, and maintaining machine learning models in production, with a strong emphasis on MLOps best practices including CI/CD pipelines, model monitoring, and lifecycle management.
  • Knowledge of Power BI or other data visualisation tools.
  • Experience of applying knowledge of statistical analysis techniques, machine learning algorithms and predictive modelling, with a track record of taking models from experimentation to production deployment.
  • Demonstrated ability to operationalize data science solutions, ensuring models are robust, scalable, and integrated into business processes.
  • Strong problem-solving and critical-thinking abilities to identify and address business challenges.
  • Collaborative mindset, with the ability to work effectively in cross-functional teams.
  • Strong attention to detail and a commitment to delivering high-quality results.

Our Benefits - What We Can Offer You

  • 25 days holidays as standard plus bank holidays - You can 'buy' up to 35hrs of extra holiday too.
  • Generous and flexible pension schemes.
  • Volunteering days - Two days of volunteering every year for a cause of your choice (fully paid).
  • Westfield Health membership, offering refunds on medical services alongside our Aviva Digital GP services.
  • We also offer a wide range of well-being initiatives to encourage positive mental health both in and out of the workplace and to make sure you're fully supported.
  • This includes our Flexible by Choice programme which gives our colleagues more choice over a hybrid way of working subject to role, team and client requirements.

We have been ranked in the Best Workplaces for Wellbeing for Large Organisations for 2024! Our responsible business programmes are fundamental to who we are and our purpose. We're committed to being a diverse and inclusive workplace where our colleagues can flourish, and we have established a number of inclusion network groups across our business to support this aim. Our commitment to Social Responsibility, community investment activity and tackling climate change is a fundamental part of who we are.

Additional Information

As part of the Irwin Mitchell Group's on-boarding process all successful applicants are required to complete the group's employment screening process. This process helps to ensure that all new employees meet our standards in relation to honesty and integrity therefore protecting the interests of the Group, colleagues, clients, partners and other stakeholders. We carry out pre-employment screening to establish your eligibility to work in the UK, criminal record and financial checks with our trusted 3rd parties. The employment screening process will fully comply with Data Protection and other applicable laws. Irwin Mitchell LLP is an equal opportunity employer.

Senior Data Scientist (5464) employer: IM LLP

At Irwin Mitchell, we pride ourselves on being more than just a law firm; we are a collaborative team dedicated to making a meaningful impact in our clients' lives and communities. Our inclusive work culture fosters personal and professional growth, offering generous benefits such as flexible working arrangements, extensive holiday options, and well-being initiatives that prioritise mental health. Join us in a role where your data expertise will not only drive business success but also contribute to our commitment to social responsibility and community engagement.
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Contact Detail:

IM LLP Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist (5464)

✨Tip Number 1

Familiarise yourself with the specific data science tools mentioned in the job description, such as Azure ML and Databricks. Having hands-on experience or projects showcasing these tools can set you apart during discussions.

✨Tip Number 2

Prepare to discuss your experience with MLOps best practices, particularly around CI/CD pipelines and model monitoring. Be ready to share examples of how you've operationalised data science solutions in previous roles.

✨Tip Number 3

Highlight your collaborative skills by preparing examples of how you've worked effectively in cross-functional teams. This role values teamwork, so demonstrating your ability to communicate and collaborate will be crucial.

✨Tip Number 4

Research the firm’s commitment to social responsibility and community investment. Being able to align your personal values with the company's mission can make a strong impression during your conversations.

We think you need these skills to ace Senior Data Scientist (5464)

Expert proficiency in Python, R, or SQL
Data manipulation and data wrangling
Data visualisation tools (e.g., pandas, NumPy, Matplotlib)
Experience with cloud environments, preferably Azure
Familiarity with Databricks, Auto ML, Azure ML
Development, deployment, and maintenance of machine learning models
MLOps best practices including CI/CD pipelines
Model monitoring and lifecycle management
Knowledge of Power BI or other data visualisation tools
Statistical analysis techniques and predictive modelling
Operationalising data science solutions
Strong problem-solving and critical-thinking abilities
Collaborative mindset for cross-functional teamwork
Attention to detail and commitment to high-quality results

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Scientist role. Focus on your proficiency in programming languages like Python, R, or SQL, and any experience with data manipulation and visualisation tools.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it can drive business decisions. Mention specific projects where you've applied machine learning techniques and how they benefited your previous employers.

Showcase Your Technical Skills: Be explicit about your experience with cloud environments, particularly Azure, and tools like Databricks and Auto ML. Provide examples of how you've developed and deployed machine learning models in production.

Highlight Collaboration Experience: Since the role involves working with cross-functional teams, include examples of past collaborations. Discuss how you’ve shared knowledge and supported colleagues to achieve common goals in data analytics.

How to prepare for a job interview at IM LLP

✨Showcase Your Technical Skills

As a Senior Data Scientist, you'll need to demonstrate your expertise in programming languages like Python, R, or SQL. Be prepared to discuss specific projects where you've applied these skills, particularly in data manipulation and visualisation.

✨Understand the Business Context

Familiarise yourself with the law firm's services and how data science can enhance their operations. During the interview, highlight how your analytical skills can identify opportunities for improvement and contribute to the firm's objectives.

✨Discuss MLOps Best Practices

Since the role emphasises deploying and maintaining machine learning models, be ready to talk about your experience with CI/CD pipelines, model monitoring, and lifecycle management. Share examples of how you've operationalised data science solutions in previous roles.

✨Emphasise Collaboration

The firm values teamwork, so illustrate your ability to work effectively in cross-functional teams. Provide examples of past collaborations where you shared knowledge and supported colleagues to achieve common goals.

Senior Data Scientist (5464)
IM LLP
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