data science manager

The Family Office Company BSC (c)

<div>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 We are seeking a
 <strong>
  Data Science Manager &amp; Head of Recommendations and Personalization
 </strong>
 to lead the development of intelligent, data-driven client experiences across our digital platforms. You will spearhead the design and implementation of machine learning models for personalized investment recommendations, content targeting, and client engagement optimization.
 <br/>
 <br/>
 This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems&mdash;ideally in fintech, digital wealth, or consumer platforms.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <strong>
  Strategy &amp; Leadership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Define the personalization and recommendation strategy aligned with business goals and client experience vision.
  </li>
  <li>
   Lead, mentor, and grow a team of data scientists and machine learning engineers.
  </li>
  <li>
   Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Science &amp; Modeling
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and deploy ML/AI models for:
  </li>
  <ul>
   <li>
    Personalized investment recommendations
   </li>
   <li>
    Smart content curation
   </li>
   <li>
    Behavioral and predictive analytics
   </li>
   <li>
    Funnel optimization and conversion predictions
   </li>
  </ul>
  <li>
   Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
  </li>
  <li>
   Ensure model explainability, fairness, and compliance with relevant data privacy regulations.
   <br/>
  </li>
 </ul>
 <strong>
  Personalization Infrastructure
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect and oversee the personalization engine powering mobile, web, and CRM systems.
  </li>
  <li>
   Implement real-time data processing pipelines for adaptive personalization.
  </li>
  <li>
   Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Client-Centric Data Insights
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
  </li>
  <li>
   Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Attributes &amp; Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong product sense with a deep understanding of client behavior in digital financial services.
  </li>
  <li>
   A passion for using data to improve lives and decision-making for HNW individuals.
  </li>
  <li>
   Strategic and hands-on: able to drive vision and execute technical implementation.
  </li>
  <li>
   Collaborative leadership and stakeholder communication skills.
  </li>
  <li>
   Highly analytical with strong attention to detail and data integrity.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s or PhD in Data Science, Machine Learning, Computer Science, or related field.
  </li>
  <li>
   6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
  </li>
  <li>
   Proven experience developing personalization and recommendation systems at scale.
  </li>
  <li>
   Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  </li>
  <li>
   Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
  </li>
  <li>
   Background in fintech, wealth management, or e-commerce personalization is a strong plus
   <br/>
   <br/>
  </li>
 </ul>
 The Family Office is an independent wealth management firm offering customized investment solutions in alternative asset classes, including private equity, private debt, and real estate. Serving high-net-worth individuals and families, we provide tailored strategies to address unique financial needs with a focus on transparency, diversification, and long-term value.
 <br/>
 <br/>
 With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations.
</div>


Data Science Manager

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Technology
<p></p><p><b>Specialism
</b></p>Advisory - Other
<p></p><p><b>Management Level
</b></p>Administrative
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
<br>
<br>
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
<p></p><p>In our changing world, you are expected to deliver high-quality work that enables your teams and/or clients. You create a positive working environment, and build relationships quickly and easily. You are curious, anticipate and address the needs of others, and look to fully understand each task before assisting in the most appropriate way. You are organised, and work collaboratively and efficiently, staying energised even when faced with challenges or ambiguity.
</p><p></p><p>Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
</p><p></p><ul><li>Apply a learning mindset, take ownership of your development, and share and adopt best practices to continuously upskill yourself and others.
</li><li>Conduct yourself in a professional manner and take responsibility for your work and commitments.
</li><li>Actively listen, check your understanding, interpret and respond appropriately.
</li><li>Tailor your communication style and method based on your audience.
</li><li>Organise and prioritise information and tasks to achieve efficient and effective outcomes.
</li><li>Suggest new ideas or solutions when problems and/or opportunities arise.
</li><li>Adapt to meet the changing needs, processes and assignments of your teams and/or clients.
</li><li>Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
</li></ul><p></p><p><b>Minimum years experience required
</b></p><ul><li>Add here AND change text color to black or remove bullet and section title if not applicable
</li></ul><p></p><p><b>Additional application instructions
</b></p><ul><li>Add here AND change text color to black or remove bullet and section title if not applicable
</li></ul><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required:
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p><p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Machine Learning {+ 12 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p>0%
<p></p><p><b>Available for Work Visa Sponsorship?
</b></p>No
<p></p><p><b>Government Clearance Required?
</b></p>No
<p></p><p><b>Job Posting End Date</b></p></div><p></p>

ETIC, Data Science Manager

Amgen

<div><p><b>HOW MIGHT YOU DEFY IMAGINATION?</b><br>
If you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. At Amgen, our shared mission&mdash;to serve patients&mdash;drives all that we do. It is key to our becoming one of the world&rsquo;s leading biotechnology companies. We are global collaborators who achieve together&mdash;researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It&rsquo;s time for a career you can be proud of.</p><div></div><p><b>
Live | What you will do</b></p><ul><li>
Provide technical guidance and mentorship to data scientists, ensuring best practices in modeling, measurement, and reproducibility.</li><li>
Design and build predictive models to support patient analytics, campaign measurement, and recommendation use cases such as alerts, triggers, targeting, and next-best-action.</li><li>
Lead the design of pilots, A/B tests, and analytic frameworks to drive test-and-learn strategies.</li><li>
Translate complex model outputs into clear business-facing summaries to enable decision-making by commercial and brand teams.</li><li>
Develop, validate, and maintain machine learning models using Python, PySpark, and Databricks across large longitudinal datasets.</li><li>
Maintain best practices in model versioning, QC, documentation, and reproducibility using MLflow and Git.</li><li>
Collaborate with brand partners, global analytics, and engineering teams to ensure seamless model deployment and interpretation.</li><li>
Drive innovation by exploring emerging techniques (e.g., causal inference, reinforcement learning, RAG/LLMs) for commercial data science applications.</li></ul><div></div><p><b>
Thrive | What you can expect</b></p><p>
As we work to develop treatments that take care of others, we also work to care for our teammates&rsquo; professional and personal growth and well-being.</p><div></div><p><b>
Basic Qualifications</b></p><ul><li>
Master&rsquo;s degree in Data Science, Computer Science, Public Health, or related field.</li><li>
7&ndash;13 years of hands-on experience in predictive modeling, machine learning, or healthcare analytics.</li><li>
Strong programming skills in Python and SQL, with experience using Databricks or similar platforms.</li><li>
Solid grasp of experimentation methods including causal inference, uplift modeling, and A/B testing.</li><li>
Experience working with patient-level or longitudinal healthcare data (e.g., claims, EMR, lab).</li></ul><div></div><p><b>
Preferred Qualifications</b></p><ul><li>
Critical thinking and structured problem-solving ability to intake ambiguous business requirements and develop analytics frameworks.</li><li>
Experience in life sciences, pharma, or regulated health analytics environments.</li><li>
Familiarity with MLflow, AWS, Git, and DevOps-style model deployment workflows.</li><li>
Understanding of patient journey analytics, including HCP targeting or patient triggers.</li><li>
Exposure to RAG/LLM applications in data science.</li><li>
Strong communication skills and ability to work across technical and business stakeholders.</li><li>
Strong ownership of work with a bias towards action.</li></ul></div><p></p>

Data Science Manager (Commercial)

Deloitte

<p></p><div><div><div><div><div><div><div><div><div><div><p><b>Data Science Manager</b></p><p></p><p><b>
Are you an experienced Data Scientist who has led the development of world-class software or digital products? Are you looking for an opportunity to expand your scope and lead products used by some of the biggest and most influential businesses around the world? If the answer to these questions is yes, we would like to talk with you.</b></p><p></p><p><b>
Work you&rsquo;ll do</b></p><p></p><ul><li>
Work with Senior Executives/Product Managers/Owners to understand how products can be used and should be implemented to solve client problems.</li><li>
Work with stakeholders to understand client requirements and brainstorm on solutioning it, implement the assets/products as applicable. Perform exploratory data analysis on large datasets (several GB to TB) to define analytical models</li><li>
Apply data science/ML forecasting techniques to solve complex business problems, must have good understanding of Timeseries data and Demand Forecasting use cases</li><li>
Explain analytics model behavior / results in the vernacular of the market need</li><li>
Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques. Present the forecasting accuracy results to the client team.</li><li>
Deploy models into production</li><li>
Provide feedback to product team to improvise the products.</li><li>
Consistently strive to acquire new skills on AI / ML, Cloud, Big Data technologies</li><li>
Support and coach your team on best coding practices, development tools, and pathfinding and surveys for technologies</li><li>
Ensure SDLC best practices and standards are followed</li></ul><p></p><p><b><br>
Qualifications</b></p><p></p><p><b>
Required:</b></p><ul><li><ul><li>
Bachelor&rsquo;s Degree in a relevant field from a top-tier university; Advanced Degree (Bachelors/ Masters) in a relevant field is a plus</li><li>
5-8+ years&rsquo; experience leading / implementing data science solutions. Must have working experience on Timeseries data and Demand Forecasting use cases</li><li>
Experience developing, implementing and maintaining machine learning and advanced statistical algorithms</li><li>
Deep understanding of data science principles, including machine learning, deep learning and artificial intelligence concepts</li><li>
Deep understanding of Feature Engineering</li><li>
Experience working with large quantitative and qualitative datasets both hands on and managing teams doing the work</li><li>
Proven skills in Python, PySpark is a must have</li><li>
Experience using statistical computer languages to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling</li><li>
Experience working with data science tools, Sklearn, Regression, classification models</li><li>
Experience in cloud-based eco-systems such GCP, AWS, or Azure for development and deployment of models</li><li>
Familiarity with consumer related data and a general interest in the retail, consumer products manufacturing, automotive, transportation, or hospitality sectors</li><li>
Strong storytelling skills with experience presenting to large technical and non-technical audiences</li><li>
A desire to take initiative and continuously work on improving the products you handle</li><li>
Highly self-motivated, energetic, passionate team-oriented personality and working style</li><li>
Strong analytical background combined with solid business experience</li><li>
Demonstrated ability to work effectively across time zones</li></ul></li></ul><p></p><p><b><br>
The Team</b></p><p>
 Deloitte Consulting LLP&rsquo;s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today&rsquo;s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services offered by Deloitte Digital. Learn more about our Technology Consulting practice on www.deloitte.com.</p><p></p><p><b><br>
Education:</b></p><p>
B.E./B.Tech/M.C.A./M.Sc.</p><p>
 <b>Generative AI Experience:</b></p><p></p><ul><li>
Retrieval-Augmented Generation (RAG):</li><li>
Must have Implemented RAG techniques to enhance data retrieval and improve the relevance of generated content.</li><li>
Integrated RAG models with existing data pipelines to optimize information retrieval processes.</li><li>
Vector Databases:</li><li>
Utilizing vector databases for efficient storage and retrieval of high-dimensional data.</li><li>
Knowledge on vector search algorithms to enhance the performance of AI-driven applications.</li><li>
Large Language Models (LLMs):</li><li>
Experience with deploying and fine-tuning large language models for various NLP tasks.</li><li>
Integrated LLMs into data processing workflows to automate and enhance data analysis.</li><li>
LangChain:</li><li>
Knowledge on LangChain&rsquo;s for building and managing complex data workflows.</li><li>
Experience in scalable data pipelines using LangChain to streamline data processing and integration tasks.</li><li>
Efficiency Improvements:</li><li>
Should have implementation experience to reduce data processing times by optimizing ETL workflows and leveraging cloud-native solutions.</li></ul><p></p><p><b><br>
Location:</b> Hyderabad/Bengaluru/ Pune</p></div></div></div><br>
<p></p>
</div><div><div><div><b>Our purpose</b></div><br>
<div></div>
Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.</div>
</div><div><div><div><b>Our people and culture</b></div><br>
<div></div>
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.</div>
</div><div><div><div><b>Professional development</b></div><br>
<div></div>
At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India.</div>
</div><div><div><b>Benefits to help you thrive</b><br>
</div><div>
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.</div><div></div>
</div><div><div><b>Recruiting tips</b></div><br>
<div></div>
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
</div></div></div></div></div></div><p></p><div><div><div><p>Requisition code: 310278</p></div></div></div></div>

Data Science Manager -Innovation & Delivery Transformation

Turing Portal

<div><div><p><b>About Turing</b></p>
<p>
Based in Palo Alto, California, Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world's leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilingualism, STEM and frontier knowledge; and leveraging that expertise to build real-world AI systems that solve mission-critical priorities for Fortune 500 companies and government institutions. Turing has received numerous awards, including Forbes's &quot;One of America's Best Startup Employers,&quot; #1 on The Information's annual list of &quot;Most Promising B2B Companies,&quot; and Fast Company's annual list of the &quot;World's Most Innovative Companies.&quot; Turing's leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT. For more information on Turing, visit <b>www.turing.com</b>. For information on upcoming Turing AGI Icons events, visit <b>go.turing.com/agi-icons</b>.</p></div><p></p><h3 class="jobSectionHeader"><b><br>
Position Summary</b></h3>
<p>
We are looking for a hands-on Data Science Manager to lead our Fulfillment Data Science team. In this role, you will help build foundational data infrastructure and deliver insights that directly shape Turing's vetting and fulfillment operations. This is a high-impact role for a technically skilled and collaborative leader who can scale data-driven products and workflows that serve Turing's 3M+ global talent cloud.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Build and lead a high-performing team of data scientists and data analysts</li>
<li>Drive actionable product and operational insights, opportunity analyses, and metric tracking to guide product direction and success</li>
<li>Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design etc.</li>
<li>Design and maintain core data pipelines and conduct hands-on analysis of large-scale data</li>
<li>Translate complex analyses into compelling narratives and visualizations that drive executive and cross-functional decision-making</li>
<li>Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively</li>
<li>Enjoy working in a fast-paced product development cycle.</li>
</ul><h3 class="jobSectionHeader"><b>Required Qualifications</b></h3>
<ul><li>Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Applied Math, Physics, Engineering)</li></ul>
<ul><li>8+ years of hands-on data science experience, including work with large-scale structured and unstructured data</li></ul>
<ul><li>3+ years of experience managing data science teams</li></ul>
<h3 class="jobSectionHeader"><b>
Technical Skills</b></h3>
<ul><li>Strong SQL and Python programming skills</li></ul>
<ul><li>Experience building data products using Google BigQuery and data visualization tools (Tableau, Looker, Sigma)</li></ul>
<ul><li>Familiarity with experimentation, causal inference, or forecasting techniques</li></ul>
<p><b>
Preferred Qualifications</b></p>
<ul><li>Experience building and deploying GenAI based tools in human-in-the-loop systems</li></ul>
<ul><li>Prior work in fulfillment, marketplace, or operations-focused teams at a high-growth company or startup</li></ul>
<p><b>
Advantages of joining Turing:</b></p>
<ul>
<li>Amazing work culture (Super collaborative &amp; supportive work environment; 5 days a week)</li>
<li>Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)</li>
<li>Competitive compensation</li>
<li>Flexible working hours</li>
<li>Full-time remote opportunity</li>
</ul>
<p><b>Don't meet every single requirement?</b> Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</p><p></p><div>
<h3 class="jobSectionHeader"><b>
Values:</b></h3>
<ul><li><b>We are client first</b>: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.</li>
<li><b>We work at Start-Up Speed: </b>We move fast, stay agile and favor action because momentum is the foundation of perfection</li>
<li><b>We are Al forward: </b>We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.</li>
</ul>
<p></p><h3 class="jobSectionHeader"><b>Advantages of joining Turing:</b></h3>
<div><ul><li>Amazing work culture (Super collaborative &amp; supportive work environment; 5 days a week)</li>
<li>Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)</li>
<li>Competitive compensation</li>
<li>Flexible working hours</li>
<li>Full-time remote opportunity</li>
</ul>
<p><b>Don't meet every single requirement?</b> Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</p>
<p>
For applicants from the European Union, please review Turing's GDPR notice here.</p></div></div></div><p></p>

Manager, Data Science

LatentView Analytics

<p></p><div><div><div><b>Designation: Assistant Manager - Data Science</b></div><div><b>
Experience: 6 to 8 years</b><br>
<b>Location: Bengaluru, Karnataka, India (BLR)</b></div><div><b><br>
Job Description:</b></div><div>
Machine Learning with Lead Scoring Techniques, Prompt Engineering, Python.</div><div>
Stakeholder Management, Presenting findings to leadership team</div><div></div><div><b><br>
Responsibilities:</b></div><div></div><div><br>
Responsibilities:</div><div>
Machine Learning with Lead Scoring techniques</div><div></div><div><br>
Data Preparation:</div><div>
Clean, preprocess, and engineer features from diverse data sources, such as website interactions, engagement metrics, and demographic information, to make them usable by ML models</div><div></div><div><br>
Model Development:</div><div>
Build, train, and evaluate machine learning models, such as logistic regression, to predict lead conversion probability based on historical sales data.</div><div></div><div><br>
Model Deployment &amp; Maintenance:</div><div>
Integrate ML models into existing CRM and sales platforms, ensuring they are continuously updated and performing optimally</div><div></div><div><br>
Performance Analysis:</div><div>
Monitor model performance, analyze results, and iterate on models to improve accuracy and effectiveness over time.</div><div></div><div><br>
Prompt Engineering:</div><div>
Crafting effective prompts to elicit desired responses from LLMs and leveraging techniques like Retrieval Augmented Generation (RAG).</div><div></div><div><br>
Model Evaluation:</div><div>
Developing and implementing evaluation frameworks to assess the performance of LLMs using both quantitative and qualitative metrics.</div><div></div><div><br>
Programming Skills:</div><div>
Proficiency in programming languages used for data science, such as Python, including relevant libraries like scikit-learn.</div><div></div><div><b><br>
Skills:</b></div><div>
6 to 8 years in the Data Science domain</div><div>
Machine Learning with Lead Scoring techniques, Prompt Engineering, Python</div></div></div>
<br><div><div><b>Job Snapshot</b></div><div><div><div>
Updated Date</div><div>
04-09-2025</div></div><div><div>
Job ID</div><div>
J_4081</div></div><div><div>
Location</div>
Chennai, Tamil Nadu, India
</div><div><div>Experience</div><div>
6 - 8 Years</div></div><div><div>
Employee Type</div><div>
Permanent</div></div></div></div>

Assistant Manager - Data Science

HRsource

<div>
 <p>
  <strong>
   Title: Manager - Data Analytics
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Doha, Qatar
 </p>
 <p>
  <strong>
   Employment Type:
  </strong>
  Full-time
 </p>
 <p>
  <strong>
   Industry:
  </strong>
  Consulting | Technology | Data &amp; Analytics
 </p>
 <p>
  <br/>
 </p>
 <p>
  A leading consulting firm is looking to hire a
  <strong>
   Data Analytics Manager
  </strong>
  to lead their growing data practice in Qatar. This is a strategic role for a data-driven leader who can manage cross-functional teams, deliver robust analytics solutions, and drive business impact through data.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The candidate must be experienced in implementing (on-premise/cloud) data warehousing solutions, integrating various data sources, and utilizing visualization tools to provide actionable insights. Key technology experience required in related solutions in the Microsoft stack - Azure, Databricks, Data Pipelines, Power BI, etc. This role demands a strong understanding of cloud platforms, data management, and analytics to support data-driven initiatives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Do
  </strong>
 </p>
 <ul>
  <li>
   Lead and mentor a team of data analysts and data scientists
  </li>
  <li>
   Design and implement end-to-end data strategies aligned with business goals
  </li>
  <li>
   Manage delivery of analytics projects, ensuring accuracy, quality, and timeliness
  </li>
  <li>
   Oversee development of data pipelines and cloud-based data warehouses (Azure, Databricks)
  </li>
  <li>
   Create dashboards and reports using Power BI, Tableau, or Looker
  </li>
  <li>
   Collaborate with senior stakeholders to translate data into actionable insights
  </li>
  <li>
   Ensure data quality, governance, and performance optimization across systems
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We&rsquo;re Looking For
  </strong>
 </p>
 <ul>
  <li>
   8&ndash;12 years of experience in data analytics, with at least 3 years in a leadership role
  </li>
  <li>
   Strong technical background in Azure, SQL, Power BI, ETL pipelines, and data warehousing
  </li>
  <li>
   Proficiency in Python or R is a plus
  </li>
  <li>
   Proven success in managing data teams and driving cross-departmental collaboration
  </li>
  <li>
   Experience in consulting or professional services preferred
  </li>
  <li>
   Excellent communication and stakeholder engagement skills
  </li>
  <li>
   Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field (Master&rsquo;s is a plus)
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Why Apply
  </strong>
 </p>
 <ul>
  <li>
   Work on high-impact projects across international markets
  </li>
  <li>
   Collaborate with a global team of experts in analytics and technology
  </li>
  <li>
   Opportunity to shape and scale a strategic data function in the region
  </li>
  <li>
   Competitive compensation and flexible work model
  </li>
 </ul>
 <p>
 </p>
</div>


Data Analytics Manager

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